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Anonymous Gossip Improving Multicast Reliability in Mobile Ad-Hoc Networks

Anonymous Gossip Improving Multicast Reliability in Mobile Ad-Hoc Networks
Anonymous Gossip Improving Multicast Reliability in Mobile Ad-Hoc Networks

Anonymous Gossip:Improving Multicast Reliability in Mobile Ad-Hoc Networks?Ranveer Chandra Venugopalan Ramasubramanian Kenneth P.Birman

Department of Computer Science

Cornell University,Ithaca,NY14853,USA

{ranveer,ramasv,ken}@https://www.doczj.com/doc/2f13374349.html,

Abstract

In recent years,a number of applications of ad-hoc net-works have been proposed.Many of them are based on the availability of a robust and reliable multicast protocol.In this paper,we address the issue of reliability and propose a scalable method to improve packet delivery of multicast routing protocols and decrease the variation in the number of packets received by different nodes.The proposed pro-tocol works in two phases.In the?rst phase,any suitable protocol is used to multicast a message to the group,while in the second concurrent phase,the gossip protocol tries to recover lost messages.Our proposed gossip protocol is called Anonymous Gossip(AG)since nodes need not know the other group members for gossip to be successful.This is extremely desirable for mobile nodes,that have limited resources,and where the knowledge of group membership is dif?cult to obtain.As a?rst step,anonymous gossip is implemented over MAODV without much overhead and its performance is studied.Simulations show that the packet delivery of MAODV is signi?cantly improved and the varia-tion in number of packets delivered is decreased.

1.Introduction

Ad-hoc networks are mobile networks that operate in the absence of any?xed infrastructure,employing peer-to-peer communication to establish network connectivity.These networks have a wide range of applications such as disaster relief and?eld operations,war front activities,and commu-nication between automobiles on highways.Group com-munication or multicast is a natural requirement for many of these applications and the reliability of the multicast pro-tocol could affect their performance signi?cantly.Ad-hoc networks function under severe constraints such as mobility of nodes,insuf?cient power and memory on mobile devices, and bandwidth restriction of the wireless medium.These ?The authors were supported in part by DARPA/AFRL-IFGA grant F30602-99-1-0532and in part by NSF-CISE grant9703470,with addi-tional support from the AFRL-IFGA Information Assurance Institute,from Microsoft Research and from the Intel Corporation.restrictions make the existing multicast routing protocols such as MAODV very unreliable even in moderately sized networks.This paper discusses our protocol,Anonymous Gossip,a scalable method for providing probabilistic guar-antees to multicast reliability in mobile ad-hoc networks.

2.Multicast Reliability in Ad-Hoc Networks

Several protocols have been designed in recent years to address the issues of multicast routing in ad-hoc net-works.Approaches range from simple ideas such as se-lective?ooding[13]to more complex protocols that main-tain knowledge of the network connectivity or dynamically gather route information.Many multicast protocols ap-proach the problem of multicast in ad-hoc networks by building and maintaining multicast trees or meshes to estab-lish connectivity among group members.MAODV[2]and AMRIS[8]are protocols that maintain multicast trees while ODMRP[10]and MCEDAR[6]are mesh-based.The mesh-based protocol,ODMRP[10]provides better packet deliv-ery than tree-based protocols but pays an extra cost for mesh maintenance.However,these protocols do not attempt to ensure packet delivery and packet loss is a problem during mesh/tree recon?guration,a frequent repair activity.Fur-ther,the number of packets received by different members of a group is highly variable,with some members receiving very few packets while others receive almost all the packets even though the network may not be partitioned at that time.

Multicast reliability in wired networks has received a lot of attention in the past years.Protocols such as SRM[3], RMTP[4]and PGM[5]focus on best effort reliability but are very scalable and easy to implement.These protocols, which are NACK-based(meaning that the receiver has the onus for initiating recovery)depend on the multicast rout-ing tree constructed by the Internet group multicast proto-col,IGMP.In ad-hoc networks,routes changes very rapidly and the methods used by these protocols are consequently not available to us.Bimodal Multicast[1]is another scal-able system,which uses gossip to provide probabilistic re-liability in wired networks.Our premise is that gossip is well matched to the needs of ad-hoc networks because it is a controlled form of?ooding-messages are slowly prop-

agated through the network without congesting the wire-less medium-and is independent of topology.This paper proposes a new method of gossip called anonymous gos-sip(AG),which does not require a group member to have any knowledge of the other group members.

A multicast protocol based on anonymous gossip would proceed in two phases.In the?rst phase,packets are mul-ticast to the group using any unreliable multicast protocol. In the second phase,periodic anonymous gossip takes place in the background and ensures that most of the reachable members receive the packets.This method can be imple-mented on top of any of the tree-based and mesh-based pro-tocols with little or no overhead,and without affecting the scalability of the underlying protocol.In this paper,we dis-cuss our implementation of AG using MAODV as the un-derlying protocol.Simulation results show that using gos-sip over MAODV signi?cantly increases the packet deliv-ery,while the variation in the number of packets received by different nodes decreases.

3.Overview of AODV Multicast

MAODV is a reactive protocol that dynamically creates and maintains a multicast tree for each group.It is an adap-tation of AODV,a unicast routing protocol.Due to con-straints of space,we present in this section a brief overview of only those aspects of MAODV relevant to our implemen-tation.A detailed description of MAODV can be found in [2][11].

Each node running MAODV maintains two routing ta-bles:Route Table(RT)and Multicast Route Table(MRT). The Route Table is used for recording the next hop for routes to other nodes in the network.Each entry in RT con-tains a destination IP address,a destination sequence num-ber,hop count to the destination,IP address of next hop,and the lifetime of this entry.The destination sequence number tracks the freshness of the route to that destination.A source node S trying to send a message to a node B,?rst looks for a route to B in its RT.If a valid route is not found,S broad-casts a route request message called RREQ.A node receiv-ing this RREQ message can unicast a route reply RREP to S if it is the destination node or if it has a fresh enough route to B.Otherwise the node broadcasts the RREQ to its neighbors.The source node S selects the shortest among the freshest routes from the received RREPs and adds the entry in the Route Table.Nodes relaying the RREQs and the RREPS add the reverse and forward route entries into their Route Table respectively.

The Multicast Route Table contains entries for multicast groups of which the node is a router(i.e.,a node in the mul-ticast tree).Each entry in this table contains the multicast group IP address,the group leader IP address,the group sequence number,hop count to the group leader,the next hops,and the lifetime.The next hops are the nodes in the multicast tree to which this node is connected.Each next hop entry has an enabled?ag to indicate a potential but not yet activated entry.The next hop that is closer to the group leader is called the upstream node.

A node S that is not a part of the multicast tree can join the multicast group by broadcasting a RREQ message with the join?ag set.Any node in the multicast tree can respond to a Join RREQ by unicasting an RREP back to S.These RREQs and RREPs are processed similar to unicast routing. In addition,nodes receiving Join RREQs also add entries with enabled?ag false in their MRT.The node S selects a suitable route from the RREPs and sends an activation message called MACT along this route.All nodes receiving the MACT message change the enabled?ag to true in their entries.

Any group member,which is a leaf node in the multi-cast tree can leave the group by sending a MACT message to its upstream node with the prune?ag set.A node re-ceiving a Prune MACT deletes the sender from its next hop table.If it is a non-group member that has now become a leaf node,it leaves the group by sending a Prune MACT to its upstream node.Non-leaf nodes can leave a multicast group but must continue to function as routers in the multi-cast tree.When a link breakage occurs between two nodes U and D of a multicast tree,only the downstream node D attempts to repair this link.This restriction is necessary to prevent formation of loops.D sends an RREQ with an ex-tension containing the hop count to the group leader.Any multicast tree member closer to the group leader than D can reply to this RREQ.In case D receives no replies within a certain time even after a few rebroadcast of the RREQ,the network is assumed to be partitioned and a new group leader is selected in the downstream sub-tree.The details of how the new group leader is selected and how two partitioned trees can rejoin are described in[2][11].

4.Anonymous Gossip Protocol

Gossip as a general technique has been used to solve a number of problems such as network news dissemina-tion(NNTP),replicated data management[14]and failure detection[15].Bimodal multicast[1]uses gossip as a technique to achieve probabilistic reliability of multicast in wired networks.This protocol achieves a bimodal guaran-tee i.e.,all or no delivery with very high probability and partial delivery with very low probability,without sacri?c-ing scalability and stable throughput(low jitter).We also use gossip to address the problem of reliable multicast in mobile ad-hoc networks and provide all or no delivery with very high probability and partial delivery with very low prob-ability.However,we use a different method of gossip to provide the same guarantees.

A gossip based reliable multicast protocol involves two phases.In the?rst phase,any suitable unreliable protocol is used to multicast the message m,to be sent to the group. In the second phase,gossip is used to recover lost mes-

sages from other members of the group that might have re-ceived it.This phase consists of periodically repeated gos-sip rounds in the background as more and more messages are multicast.A single gossip round can potentially recover many lost messages.A single round of gossip consists of the following steps,

1.Node A randomly chooses another member of the

group,say B.

2.A sends B the information about messages it has re-

ceived or not received.

3.B checks to see if it has received any of the messages

listed by A.

4.Then A and B could exchange messages which are not

a part of each other’s message history.

Posing such a broad algorithm in the form of a proto-col has to be done with meticulous care.The constraints of the environment have to be taken into account.As we have mentioned earlier,one of our primary goals is to pro-vide reliability without increasing the message overhead of the already congested mobile wireless environment.The following issues have to be answered keeping in mind the above constraints.

1.How does node A know who the other members of the

group are?

2.How does A select which member to gossip with?

3.What should be the direction of information exchange?

4.How is the message history maintained?

The following subsections describe these design issues in detail.

4.1.Anonymous Gossip

In our opinion,the?rst of the above questions is the most crucial issue.Bimodal multicast requires each participating node to have partial or total knowledge of group member-ship.This usually involves each node sending periodic heart beat messages to other nodes to keep the membership infor-mation current.In wired networks,where the nodes are in a domain sub-domain hierarchy,group membership can be maintained with limited overhead.However,in the wire-less environment maintaining even partial group member-ship is extremely expensive and would signi?cantly reduce the throughput of the network.We propose a method called anonymous gossip(AG)to overcome this problem.AG does not require any member to know the other members of the multicast group.The node attempting to send a gossip mes-sage does not even know the identity of the node with which it will gossip until the other node sends back a gossip reply.

We add a new type of message called gossip message. This message has the following?ve?elds:

/ Router Figure1.Local Anonymous Gossip in MAODV

?Group Address:the address of the multicast group ?Source Address:the address of the node sending the

gossip message

?Lost Buffer:an array of?xed size,that carries se-quence numbers of messages that the source node be-lieves it has lost

?Number Lost:the size of the Lost Array.?Expected Sequence Number:the sequence number of the next message that the source expects.

Each node randomly selects one of its neighbors and sends a gossip message to it.Any node receiving a gossip message randomly selects one of its neighbors(excluding the neigh-bor which sent the message)and propagates the message to it.If the receiving node is itself a member of the multicast group then it randomly decides to either accept the gossip or propagate it.The accepting node then unicasts a gossip reply to the initiator of this gossip request.The reply is de-scribed in section4.4.In a general multicast protocol of an ad-hoc network,the nodes themselves participate as routers. Also,only a subset of these nodes/routers would participate in routing any messages meant for a given multicast group. In such cases,only participating routers are to be consid-ered while propagating the gossip message.For example, in the implementation of this protocol on MAODV,only the routers in the multicast tree participate in propagating the gossip.As have seen in section3,each router maintains a multicast route table which constitutes the nexthops for this router.While propagating the gossip message,one of these nexthops is randomly selected.Propagation along the mul-ticast tree prevents gossip messages from reaching the same node twice.

4.2.Locality of Gossip

Periodic propagation of gossip messages generates con-tinuous traf?c on the network.Choosing nearer members

to gossip with will reduce the network traf?c,however

gossiping with a distant node is extremely important be-cause sometimes message loss could affect an entire local-

ity.Hence we need a scheme that would gossip locally with

a very high probability and with distant nodes occasion-ally.Our AG protocol is augmented to achieve this opti-

mization.Here,we assume some familiarity with MAODV, because the constraint of brevity prevents us from explain-

ing MAODV in detail,and yet our algorithm builds upon

it.We require each node participating as a router in the multicast tree to maintain one additional?eld called near-

est member.In the implementation over MAODV,the mul-

ticast route table is augmented to have this extra?eld asso-ciated with each nexthop entry.The nearest member?eld

associated with a nexthop contains the distance to the near-est group member from this node by taking the link through

this nexthop node.This adds very little overhead to the ex-

isting multicast route table.Whenever a gossip message is received,a nexthop node is chosen so that a nexthop with a

smaller nearest member value is chosen with higher prob-

ability than a nexthop with a larger nearest member value. Thus with higher probability the gossip message is propa-

gated to a closer node than to a distant node.Figure1illus-trates an AODV Multicast Tree,where{A,C,D,H,I,J}

are the group members and{B,E,F,G}are the other par-

ticipating routers.The numbers shown on their edges give the values of the nearest member?eld.As an example,for

the router E,the nearest group member through D is at a

distance1and through F is at a distance3.

Maintaining the validity of the nearest member?eld in each router can be done with limited overhead.This value

needs to be modi?ed when one of the following events oc-curs-a new member joins the group,an existing mem-

ber leaves the group,or the mobility of nodes creates a

topology change.Whenever a new member joins the group or an existing member leaves the group,the routers near-

est to this node realize the event?rst.For example in

MAODV a member sends a MACT message to establish itself while joining(see section3for details).A mem-

ber leaving the group sends a prune message to its nearest routers.The nearest router adds this new nexthop to its mul-

ticast route table with value of nearest member?eld set to

one or deletes this entry from its list of nexthops.Then for each of the nexthops present in its table,it recomputes the

value of nearest member and sends this modi?ed value to

that nexthop.For example,if{B,C,E}are the next hop entries for node D,and{b,c,e}are the associated near-

est member values for these nexthop entries,then D sends 1+min(c,e)to B,1+min(b,e)to C and1+min(b,c) to E.This value needs to be sent only if it is different from

its previous value.Also,this value can be piggy backed on any other messages bound for the same router.When

a router receives this new value,it updates this entry in its table.It then sends a modify message to its nexthops in the same way as described above.Since we are propagat-ing the minimum of a set of values,any change in topology or group membership will only affect the routers in its lo-cality.These modify messages will not propagate far and hence will not increase congestion signi?cantly.

4.3.Cached Gossip

AG is done only using the routers participating in the multicast tree.If these routers are not well distributed in the topology of the network,there is a possibility that a gos-sip message reaches a node along a route longer than the shortest existing route between these two nodes.For ex-ample,when using AG over MAODV,the gossip message propagates only along the multicast tree,although other, potentially shorter,routes may exist between the gossiping members(note that the return path is unaffected by this phe-nomenon,because gossip replies are unicast).It is ef?cient to use the unicast routes to gossip with those nodes whose membership is already known.Further,these unicast routes may be available for gossip even when the multicast tree is being repaired.

We incorporate this by introducing a member cache in all the member nodes of each multicast group.The mem-ber cache is a bounded buffer containing entries which are3-tuples(node addr,numhops,last gossip).The node addr?eld contains the address of a group member, the numhops?eld contains the shortest distance between the nodes and the last gossip contains the time at which last gossip occured between these two nodes.This information itself is collected at no extra cost.The member cache table is updated each time a message is received from a group member.This message could be a data packet meant for this group,a gossip reply,or any other maintenance packet. For example,in MAODV,each route request(RREQ)for a group join generates replies from a number of nodes,many of which are members of the group(see[11][2]for details). Whenever such a message is received,we add the member information to the member cache.If this table is full and a new member has to be added,a member with a greater numhops is deleted from this table.If there are no members with greater numhops then the member with most recent last gossip is replaced with the new entry.This is done to avoid frequent gossips with the same members.

In each gossip round,the node chooses to do anonymous gossip with probability p anon.If AG is chosen,then a gos-sip message is constructed with the address of this node as the initiator and this message is propagated as described in section4.1and4.2.If cached gossip is chosen,then a mem-ber is selected randomly from the member cache and a gos-sip message is unicast to this member.When a gossip reply is received from a member,the member information is up-dated in the member cache.If this member already exists in this table,then the numhops and last gossip?elds are

updated.Otherwise,the member is added to the table as described above.

4.4.Push vs Pull

The importance of direction of information exchange is explained in[14].Our protocol implements a pull mode of message exchange that may be described as follows.Each node maintains a table called lost table,for every multicast group that it belongs to.This contains the sequence num-bers of all the messages this node believes itself to be lack-ing.An entry in this table will be made whenever a mes-sage is received with a sequence number greater than the ex-pected sequence number.Note that the sequence number is a2tuple including the sender address and a sequence num-ber,because different senders send messages to the mul-ticast group.Each node also maintains a bounded FIFO buffer,called history table containing the most recent mes-sages received.The most recent entries of the lost table are placed in a lost buffer.Whenever a node prepares a gos-sip message,the lost buffer and a list of expected sequence numbers is added to the gossip message.When a node re-ceives a gossip message,it compares the lost buffer and the expected sequence number list to see if its history table has a copy of any message sought by the gossip initiator.It then unicasts any message found back to the gossip initiator as the gossip reply.

5.Simulation and Performance

We simulated our protocol on GloMoSim[17],which uses a parallel,event-driven simulation language called PARSEC[18].MAODV was implemented as described in version5of the IETF draft[11]and was adapted to imple-ment our gossip protocol.We understand that more recent drafts of MAODV are available,but we believe that the ex-tensions would not impact performance for the scenarios investigated.

5.1.Simulation Environment

A?xed area of200m×200m was used in the simulation, and all the nodes were initially placed randomly within this area.The simulations were performed using the Random-Waypoint scheme to model the mobility of the nodes in the network.In this model,each node has a prede?ned mini-mum and maximum speed.It then travels towards a ran-dom spot at a speed chosen randomly from this interval. After reaching the destination,it rests for a period chosen from a uniform distribution between0and80seconds,be-fore continuing this mobility pattern.Each simulation was set to run for10minutes.The MAC layer protocol used was IEEE802.11and the bandwidth of the wireless medium was assumed to be2Mbps.

The network consisted of a single multicast group with one-third of the nodes being group members.All the nodes joined the group at the beginning of the simulation and re-mained in it throughout the run period.One of the members was selected as the source of data packets.The source node generated packets of length64bytes at regular intervals of 200ms with the destination as the multicast group.In the 600second simulation time,the source node continued to send packets starting at120seconds and ending at560sec-onds.The initial delay of120sec was allowed for MAODV to build the initial multicast tree.The source node generated 2201data packets during the period of interest.

Every group member sends one gossip message per sec-ond.Each gossip message could request for at most10lost messages.The size of the membership cache was also set to10.Each member could keep track of at most200lost messages,in the lost table,and remember the most recent 100messages received in the history table.For MAODV, the hello interval was set to600ms,the allowed hello loss to4,and the group hello interval to5sec.

We studied the performance of our protocol while vary-ing three parameters:the transmission range,the maximum speed and the number of nodes.The transmission range is the distance from a node within which another node can re-ceive packets from it.All the nodes are assumed to have the same transmission range.The minimum speed was set to0for all the runs.We varied each parameter over a wide range,for different?xed values of the other two parame-ters.For each set of parameters,we measured the number of packets received by each node in the multicast group. Each simulation was carried out10times with different val-ues for the random-seed.

The performance graphs measure the number of packets received by the group members during each run.Each data point in the graph corresponds to the average of the number of packets received by each group member.The range of measured data values obtained for the full set of receivers is shown in the form of error bars,while a line connects the average across receivers.Notice that reception rates can vary widely for different receivers because of differences in network connectivity.Perfect reception rates would be graphed as2201:the number of packets multicast by the source.

5.2.Packet Delivery vs.Transmission Range

The transmission range was varied from45m to85m in steps of5m,keeping the total number of nodes constant at 40.This experiment was carried out for6values of the maximum speed.Fig.2and Fig.3show the variation of packet delivery for maximum speeds0.2m/sec and2m/sec respectively for both MAODV and our gossip protocol.

It is interesting to note that the gossip protocol consis-tently performs better than the underlying multicast pro-tocol.Not only is the average packet delivery higher but the variation in the number of packets received by different group members is also signi?cantly lower.As the transmis-sion range increases,the connectivity of the network im-proves leading to fewer link failures.Further,the length

Figure 2.Packet Delivery vs Transmission Range when the max speed=0.2m/sec

Figure 3.Packet Delivery vs Transmission Range when the max speed=2m/sec

of the network routes becomes shorter,decreasing the route discovery and setup time.The effect of this is re?ected by the steady improvement in packet delivery of both gossip and MAODV with increase in the transmission range.How-ever,this runs a risk of increasing the congestion in the net-work,which could affect the performance of the protocols.

5.3.Packet Delivery vs.Maximum Speed

The maximum speed of the nodes was varied in two phases,from0.1m/sec to1m/sec in steps of0.1m/sec and from1m/sec to10m/sec in steps of1m/sec.The transmis-sion range was set constant at75m and the number of nodes was?xed at40.Fig.4and Fig.5show variation of packet delivery with speed for both the phases.These graphs con-tinue to illustrate that our protocol achieves better packet delivery with a decreased variation in the number of pack-ets received by the group members.At very low values of maximum speed,upto0.3m/sec,our protocol gives near 100%packet delivery.

At higher speeds,the data delivery

Figure4.Packet Delivery vs Maximum Speed when the transmission range is

75m

Figure5.Packet Delivery vs Maximum Speed when the transmission range is75m

varies from90%to80%.We can see a gradual decrease in data delivery as the maximum speed increases in this range. Increase in the maximum speed causes the nodes to move faster and more frequently in the random waypoint model. This causes an increase in the frequency of link breakages, affecting the overall performance of the system.

5.4.Packet Delivery vs.Number of Nodes

The number of nodes was varied from40to100.In one experiment,the transmission range was adjusted in such a way that the average number of neighbors of a node re-mained approximately the same.As the number of nodes in the network increases,the routing distance between the nodes goes up,and hence the frequency of link failures in the network also increases.Fig.6shows the variation of packet delivery with the increase in the number of nodes. As the number of nodes increases,the packet delivery rate tends to decrease gradually because of the above mentioned reasons.In another experiment,the transmission range was

Figure6.Packet Delivery vs Number of Nodes keeping the average number of neighbors for

a node approximately constant

kept constant at55m and the number of nodes was varied from40to100.Fig.7shows the results of this experiment. As the number of nodes is increased,the connectivity of the network increases improving packet delivery.However, the traf?c in the network also increases and beyond a point this leads to congestion decreasing the number of packets delivered.

5.5.Performance Analysis

The simulation results show that AG can improve the re-liability of multicast routing protocols without the use of ac-knowledgements,and without adding signi?cant overhead to them.The overhead analysis of gossip is presented in Fig.

8.Goodput is de?ned as the percentage of non-duplicate messages received through gossip replies to the total num-ber of messages received through gossip replies.In other words goodput gives a measure of the redundant traf?c-more the goodput,more the number of useful messages car-ried by gossip replies and lesser is the redundancy.In our simulations goodput is measured at different group mem-bers for two values each of transmission range and maxi-mum speed.Fig.8shows that the goodput is close to100 percent for most of the cases under which the experiments were run.It implies that nearly all the gossip replies were useful and very few duplicates were received.This can be attributed to the parameters that were chosen for gossip.For a different messaging rate these parameters would have to be adjusted to give a comparable goodput.In general the gossip rate should be tuned so that the network does not get congested and the goodput is nearly100percent.

AG works even when the multicast tree is broken,re-covering packets dropped during the maintenance of the

Figure7.Packet Delivery vs Number of Nodes when the transmission range is constant at 55m and maximum speed is0.2m/sec

tree.The effectiveness of anonymous gossip depends on the values chosen for the size of the history table and the lost table,besides the gossip interval.We are currently doing more experiments to study the performance of AG under different parameters.Implementing anonymous gos-sip with other multicast protocols,such as ODMRP[10]and AMRIS[8],could also be done in a similar manner without adding extra complexity.We believe that AG would be able to improve the reliability of these protocols as well.

6.Related Work

Despite the importance of reliable multicast in mobile ad-hoc applications,not much work has been done on it.In [9],Pagani et al propose a protocol that guarantees validity, agreement,integrity and termination for multicast in such environments.The protocol is characterized in two phases: the scattering phase,in which a message is diffused from the source to all its destinations,and the gathering phase, in which the source collects all the acknowledgements mes-sages from the destinations.Most of the communication is done on a forwarding tree,that is an on demand source-centered routing tree,with the lifetime of at most the time needed to scatter and gather a single message.In case,the tree links break,no effort is made to repair it,and?ood-ing is used for further communication.For reliability,a message is buffered at each of the clusterheads along the tree,as long as its ack from the downstream nodes is not https://www.doczj.com/doc/2f13374349.html,ing this mechanism,the protocol provides strong guarantees for message delivery as long as the conditions of eventual subsidence,liveness and clusterhead stability is satis?ed.While this protocol provides these guarantees in a slow moving network where the failures are rare,the per-

Figure8.Goodput at different group members

for2values each of transmission range and maximum speed

formance decreases dramatically with the increasing size of the network.There is also degradation in performance with increase in mobility.The reasons for the poor perfor-mance can be attributed to two main aspects of the protocol. Firstly,since buffer size,in practice,is bounded,a situation could arise when old messages are still stored in most of the node buffers.This gives rise to a situation where newer messages cannot be accommodated since older messages have to be stored to provide the strong guarantees.The sec-ond reason for decrease in performance is the use of ack messages.This proves to be very expensive in wireless net-works where the physical layer is bandwidth constrained.

Another approach to achieve reliability in ad-hoc net-works is proposed in[13].This protocol guarantees best effort delivery using an adaptive?ooding scheme called hyper-?ooding.The nodes do not keep any state regarding the multicast routes.Whenever a sender has to multicast a message,it broadcasts the message to all its neighbors who in turn re-broadcast the packet.Some optimizations are made to prevent packets from looping forever in the network.The advantage of this protocol is the reliability it provides for high-speed networks.On the other hand this protocol is extremely expensive since it generates a large number of messages,and may easily congest the network. Especially when the multicast group is sparsely distributed in a dense network or when all the nodes are not moving at high speeds,the protocol decreases the throughput consid-erably.

7.Concluding Remarks and Future Work

Many of the exciting applications for wireless ad-hoc networks will require reliable multicast although the degree of reliability demanded by them may vary.Few applica-tions might demand special properties from the protocol, many may be satis?ed with best effort delivery and others could be satis?ed with an unreliable multicast as long as most of the messages reach the destination.While[9]de-scribes a protocol for the?rst case,we do not address that problem here.At the same time we would like to emphasize that stronger reliability guarantees can be obtained by devel-oping protocols that function over the underlying multicast and our gossip protocol.Work is being done on the Sp-inglass project[16]in Cornell University,where protocols for leader election,consensus and other advanced proper-ties are being developed over bimodal multicast.As a fu-ture work,we would like to develop ef?cient algorithms to do the same over probabilistic multicast protocols in mobile ad-hoc networks.

In this work,we have not tried to improve upon the ef?-ciency and scalability of MAODV itself.Our protocol could be used with any existing multicast protocol,without signif-icantly changing the existing protocol.AG inherits limita-tions from the underlying protocol;for example,in the work described here,AG would not work if the links were unidi-rectional.On the other hand AG introduces little overhead beyond that associated with the underlying mechanisms.In the future,with much better and ef?cient multicast proto-cols coming up,we would like to improve upon their relia-bility by using the gossip protocol.Our work with MAODV is the?rst effort in improving reliability of the existing mul-ticast protocols.It is possible to get improvements by using anonymous gossip on the other protocols proposed in[6], [10],[8]and[7].

Acknowledgements

We are extremely grateful to Indranil Gupta and Robert Van Renesse for the useful discussions and Chaitanya Swamy and Sheela Tiwary for reviewing the paper. References

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Zhen Xiao,Mihai Budiu and Yaron Minsky.“Bimodal Multicast”.ACM Transactions on Computer Systems, V ol.17,Issue2,May1999,41-88.

[2]Elizabeth M.Royer and Charles E.Perkins.“Multicast

Operation of the Ad-hoc On-Demand Distance Vec-tor Routing Protocol”.Proceedings of the?fth annual ACM/IEEE international conference on Mobile com-puting and Networking(MOBICOM).Aug.1999,207-218.

[3]Sally Floyd,Van Jacobson,Steve McCanne,Ching-

Gung Liu and Lixia Zhang.“A Reliable Multicast Framework for Light Weight Sessions and Application Level Framing”.In Proceedings of the’95Symposium on Communication Architectures and Protocols(SIG-COMM).ACM.August1995,Cambridge MA.

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pgm-spec-00.txt

[6]Prasun Sinha,Raghupathy Sivakumar,Vaduvur Bhar-

gavan.“MCEDAR:Multicast Core-Extraction Dis-tributed Ad-Hoc Routing”.Proceedings of IEEE Wire-less Communications and Networking Conference, September1999.

[7]L.Ji and M.S.Corson.“A Lightweight Adaptive Mul-

ticast Algorithm”.Proceedings of IEEE GLOCECOM, Sydney,Australia,December1998,1036-1042.

[8]Chun-Wei Wu,Y.C.Tay.“AMRIS:A Multicast Pro-

tocol for Ad-Hoc Wireless Networks”.Proceedings of MILCOMM’99,Nov.1999.

[9]Elena Pagani and Gian PaoloRossi.“Reliable broadcast

in mobile multihop packet networks”.Proceedings of the third annual ACM/IEEE international conference on Mobile computing and networking(MOBICOM), September26-30,1997,34-42.

[10]S.-J.Lee,M.Gerla,and C.-C.Chiang.“On-Demand

Multicast Routing Protocol(ODMRP)”Proceedings of IEEE WCNC’99,Sep.1999.

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mand Distance Vector(AODV)Routing”.IETF Internet Draft,draft-ietf-manet-aodv-05.txt,March14,2000. [12]Elizabeth M.Royer and Charles E.Perkins.“Ad-hoc

On-Demand Distance Vector Routing”.Proceedings of the2nd IEEE Workshop on Mobile Computing Systems and Applications,Feb.1999,90-100.

[13]Christopher Ho,Katia Obraczka,Gene Tsudik and

Kumar Viswanath.“Flooding for Reliable Multicast in Multi-Hop Ad-Hoc Networks”.MobiCom Workshop on Discrete Algorithms and Methods for Mobility,Aug 1999.

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and John Larson.“Epidemic algorithms for replicated database maintenance”.Proceedings of the Sixth An-nual ACM Symposium on Principles of distributed com-puting,1987,1-12.

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Tools for Advanced Networks.”

[17]Xiang Zeng,Rajive Bagrodia,and Mario Gerla.“Glo-

MoSim:A Library for Parallel Simulation of Large-scale Wireless Networks”.Proceedings of the12th workshop on Parallel and distributed simulation,May 26-29,1998,Banff Canada,154-161.

[18]R.Bagrodia,R.Meyer,M.Takai,Y.Chen,X.Zeng,

J.Martin,B.Park,and H.Song.“Parsec:A Parallel Simulation Environment for Complex Systems”.IEEE Computer,Vol.31(10),October1998,pp.77-85

Gossip Girl第一季读书笔记

美剧口语:《绯闻女孩》第一季地道口语(1) Lily: Serena you’ve been gone, doing who knows what with god knows who. Serena你一直都不在这里,在鬼知道什么是哪儿的地方做鬼知道是什么的事儿. * 很可爱的说法吧。 这里有同学提出疑问,某迷核对过了,是原文,you've been gone里的这个gone个人理解是做形容词(额,就是那个类型的了。不懂语法,差不多就是那个意思吧。。),就像avril有首歌叫when you're gone,同理。恩。 Chuck: Any interest in fresh air? 想出去走走透透气吗? * 好了,邀请别人终于可以不用“do you want to/would you wanna……”了。ps,这里C的意思是出去抽烟。。 Gossip: Game on. 游戏开始了。

* on的用法如果全部都掌握,那么很多句子的表达都会更简洁了。比如“穿鞋”,就不用说“put your shoes on”而可以简单地说,“shoes on” 了。 Eric: No offense. Blair: None taken. ——没有冒犯的意思。 ——我不介意。 * 这是很经典的问答。好好记住了。。 Chuck: Move, plz. 请让一下。 * 如果是某迷,之前只知道,“excuse me”和“outta my way”两个说法。目前觉得这个很可爱。ps说这个可爱的原因是觉得它体现了C的风格,贵族式的傲慢。 Blair: Done and done. 成交! * 成交还有其他的说法,比如单用“Deal”。不过觉得大部份人应该都知道吧,下次可以用这个,比较有新鲜感了。。嗯。。 Blair:Nighty-night. 晚安。 * 可爱的说法吧~女孩子好好记下~。

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《断舍离》经典语录,让自己活得更开 心,没事常看看 导读: 《断舍离》经典语录,让自己活得更开心,没事常看看 1、断,断绝不需要的东西。舍,舍去多余的废物。离,脱离对物品的执着。现在对自己来说不需要的就尽管放手。 2、不管东西有多贵,有多稀有,能够按照自己是否需要来判断的人才够强大。能够放开执念,人才能更有自信。 3、断舍离的主角并不是物品,而是自己,而时间轴永远都是现在。选择物品的窍门,不是“能不能用”,而是“我要不要用”,这一点必须铭刻在心。 4、从加法生活转向减法生活很重要,并不是心灵改变了行动,而是行动带来了心灵的变化。可以说,断舍离就是一种动禅。 5、断舍离,就是透过整理物品了解自己,整理内心的混沌,让人生舒适的行动技术。换句话说,就是利用收拾家里的杂物来整理内心的废物,让人生转而开心的方法。 6、人类最大的罪是不快活,让人变得快活是让一切变好的先决条件。我们很容易让自己随着别人的心情起伏波动,让自己陷入别人的引力圈。其实不应该这样,应该把不快活的人拉到自己的心情快活引力圈里来。

7、断舍离在行为上要先学会“舍”,也就是把不需要的东西全部扔掉。舍的秘诀,就是完全地以自己为中心,并且以当下为时间轴。因此, 1、在考虑物品是否应该被留下时,思考的主语是“我”,而不是物品。 2、将与物品的关系比作人际关系,选择对当下的我来说最必要的朋友。更高级别是只选择真正必需、而且自己又喜欢的东西的阶段。扫除:分为收拾,整理,以及表现为扫、擦、刷的打扫。 8、三种扔不掉东西的人: 1、逃避现实型——不愿待在家里2、执着过去型——对过去幸福时光的留恋 3、担忧未来型——致力于投资未来的不安因素对现在的界定因人而异扔不掉是自己把感情移到物品上面,并因此充分了自己扔不掉=不想扔的机制破烂分三类: 1、不用的东西——会念咒的束缚人的淤泥 2、还在用的东西——一滩混乱的淤泥 3、充满回忆的东西——散发出强大的气场堆积的破烂代表着良心不安的聚集。 9、这些在居住环境里放了好几个月,甚至放了好几年的东西,只不过因为不是生鲜食品所以才没有烂掉。但是如果从机能上来说,它们早已经腐烂了。置身于这样的环境中,就几乎等于是暂住在一个垃圾暂放室。主语到底是“我”还是“物品”?请养成经常如此自问的习惯吧。 10、断舍离是生活的减法哲学,减去多余的物品,认清自我,磨砺感知的本能;俯瞰力是心灵的加法哲学,了解深层需求,

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2.语言点: 1)打扰他人 2)表达谢意 3.语音:初步知识,字母、音标介绍六、扩展练习 1.打扰他人的表达 2.表达谢意

Lesson 3 Sorry, sir. 对不起,先生。Lesson 4 Is this your…这是你的……吗? 一、教学目的 1.理解并运用主系表结构的陈述、一般疑问式 2.掌握询问“是否”的方法 二、教学重点 1.主系表结构 2.一般疑问句 3.代词形容词性物主代词 三、教学难点 1.人称代词和物主代词的区分运用 2.主系表结构及其一般疑问句 四、教学标准 1.识别并简单运用主系表结构 2.掌握一般疑问句及否定回答 五、教学内容 1.语法点: 1)否定陈述句 2)Be动词的否定形式 3)代词的功能 4)一般疑问句及否回答 5)形容词性物主代词 2.语言点:

1)询问“是否” 2)表达歉意 3.语音:字母、音标介绍 六、扩展练习 1.询问“是否” 2.向别人道歉

gossip girl绯闻女孩第一季第二集台词

第二集 ur one and only source into the scandalous lives of manhattan's elite. top story on my home page-- serena van der woodsen, everybody's favorite "it" girl, has just returned from a mysterious absence. you'll never believe what's on "gossip girl." someone saw serena getting off a train at grand central. and everyone is talking. blair,it's serena. serena? and b.'s boyfriend nate-- rumor has it-- he's always had a thing for serena. but you're back now. i didn't come back for you. look, blair's my best friend, and you're her boyfriend, and she loves you. why did she leave? why did she return? must be a lot of rumors why you're back. yeah, but none of them mention you. he tries to take his own life, and you're worried it's gonna cost you, mom? you have no idea what it's been like. the best friend and the boyfriend-- that's pretty classy, s. and nate's friend chuck won't let serena forget about her past. i'm trying to change. i liked you better before. and then there's dan, the outsider. looks like his childhood crush has returned. she doesn't know me. nobody knows me. it's cool. no. no, no, no, no, no. uh, serena, um, do you know this young man? oh, from last night. you remember me? you'd really go out with some guy you don't know? well, he can't be worse than the guys i do know. guess whose dad is cool. it's a trick question. yeah, 'cause it can't be ours. "top ten forgotten bands of the '90s." yeah, check out who's number nine. he's very proud. hey! hey, way to be forgotten. why is my daughter going to one of your concerts? well, our kids were bound to meet. it's a small island. are you sure it's not some ploy, your using my daughter to get to me now that your wife left you? serena and her mystery man made a surprise appearance at blair's kiss on the lips party. serena's here? what is she doing here? she wasn't invited. but serena wasn't the only one who made an impression... who's the newbie?

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《吸引力法则》经典语录 2014-05-23汇聚智慧 1.你生命中所发生的一切,都是你吸引来的。 2.我想什么,我就能得到什么! 3.宇宙中最强有力的法则就是吸引力法则。 4.同类相吸。 5.思想变成实物。

6.改变了思想,就改变了命运! 7.所有美好的思想都是强有力的,所有负面的思想都是脆弱无力。 8.主宰心灵的方法:静心!静心的力量极为强大! 9.我是自己思想的主人!我能完全立刻控制我的思想! 10.用持续的思想召唤!事情的起因永远都是思想! 11.感觉要好!增加对事物的渴望和感觉。 12.你拥有改变一切的力量! 13.思想与爱的融合,形成了吸引力法则不可抗拒的力量 14.爱是宇宙中最伟大的力量,爱的感觉是最高的频率,如果能爱所有的事物和人,你的生命必将转变! 15.充满爱的思想----天下无敌! 16.生命中所发生的一切,都与你的目标相关联! 17.一旦你真正主宰你的思想和感觉,你就是你自己现实的创造者! 18.这个精彩非凡的宇宙能带给我们所有美好的事物,并暗中协助我们成就每一件事! 19.宇宙的声音:“你的愿望,就是我的指令。 20.要求-----相信-----接收! 21.养成要求的习惯------决不动摇的相信-----开心的接收! 22.“受到启发的行动”毫不费力,在做接收的动作,感觉棒极了! 23.宇宙喜欢快速行动,不要拖延,不要猜测,立即行动! 24.心想事成,有求必应。

25.强效的方法:感恩!感恩能转变你的能量,改变你的想法! 26.感恩的力量胜过其他一切。 27.为你已经拥有和想要拥有的事物感 28.感恩什么就会得到更多什么,感恩越多,得到越多! 29.感恩感觉视觉化看得见。 30.“我说不出这股力量是什么,我知道它存在。” 31.“想象力就是一切,它是生命将发生之事的预览。” 32.“成功来自于内在,而非外在。” 33.“我是吸引钱的磁铁,我爱钱,钱也爱我,我每天都在接收钱 34.“给予”是把更多金钱带进你生命最强效的方法。 35.用爱和尊重对待自己和别人,才能赢得别人的爱和尊重! 36.赢得人际关系:欣赏别人!不要抱怨! 37.焦点集中在爱上,就会有更多爱和喜悦回到你身上! 38.所有的压力都是由一个负面的思想开始的! 39.爱和感恩可以解除所有的负面性,并消除任何疾病! 40.笑,是最佳的良药!笑的时候可以释放所有的消极和疾病!41.每个不愉快的思想,都是放进身体里的坏东西。 42.任何事物,专注它,就是在创造它! 43.富足的方法:想着富足,看着富足,感觉富足,相信富足!

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