基于元建模的移动AdHoc网络性能优化
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基于时延优化的移动Ad Hoc网络路由算法
杨鹏
【期刊名称】《计算机工程与设计》
【年(卷),期】2009(030)004
【摘要】TDMA协议基于时隙预留的机制能够用于在移动Ad Hoc网络中提供QoS保证,然而在大规模网络中,该时分通信会带来较大的端到端时延.提出了一种基于时延优化的启发式算法,该算法将时延作为路由代价函数,并充分考虑了阻塞控制.仿真结果表明,相对于传统的基于最短跳数的路由算法,该算法能够大大减小端到端时延,可以为移动网络中实现多媒体应用提供一种有效途径.
【总页数】3页(P862-864)
【作者】杨鹏
【作者单位】重庆文理学院数学与计算机科学系,重庆402160
【正文语种】中文
【中图分类】TP393
【相关文献】
1.基于粒子滤波步行长度预测的移动ad hoc网络路由算法 [J], 张玲;聂少华
2.基于时延和能耗的Ad hoc网络路由选择算法 [J], 李新;孙丹丹;周立刚;丁炜
3.基于稳定链路的移动Ad Hoc网络路由算法 [J], 黄波;张小华
4.基于能量有效的移动Ad Hoc网络路由算法 [J], 郭晓曦
5.基于能量有效的移动Ad Hoc网络路由算法 [J], 郭晓曦
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基于OPNET的Ad Hoc网络建模与仿真
徐磊;李晓辉;方红雨
【期刊名称】《计算机工程》
【年(卷),期】2009(35)1
【摘要】利用OPNET软件自带的支持IEEE802.11标准的节点模型构建Ad Hoc 网络模型.合理配置输入输出接口的参数,使网络达到最佳性能,并对网络的性能进行比较分析.仿真结果表明,网络参数之间存在关联性,网络最优化参数具有唯一性,通过网络负载与标准负载的比较,可选择出网络性能最优化状态.
【总页数】3页(P123-125)
【作者】徐磊;李晓辉;方红雨
【作者单位】安徽大学电子科学与技术学院,合肥,230039;安徽大学电子科学与技术学院,合肥,230039;安徽大学电子科学与技术学院,合肥,230039
【正文语种】中文
【中图分类】TP393
【相关文献】
1.基于OPNET的Ad Hoc网络AODV路由协议仿真 [J], 范亚芹;王琳珠;孙慧颖
2.基于OPNET的Ad Hoc网络建模与仿真 [J], 冯言志;冯元;李金
3.无线Ad Hoc网络DSR路由协议的OPNET仿真 [J], 罗增勇;刀学龙;杜桢
4.基于 OPNET 的电网 SCADA 系统通信建模与仿真 [J], 胡春潮;侯艾君;马凯;蔡泽祥;黄成巧;席禹;潘天亮
5.移动Adhoc网络路由协议在OPNET中的仿真分析 [J], 程楠;蔡方旻;杨凯
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移动Ad hoc网络路由协议的研究——一种基于AODV路由
协议的改进算法
陈玲;王华
【期刊名称】《微计算机信息》
【年(卷),期】2006(000)03X
【摘要】Adhoc网络是一种由移动节点组成、拓扑结构动态变化的自组织网络,网络不依赖于建设好的基础组织。
在Adhoc网络的研究中.一个非常重要的领域是路由问题,因为每个节点兼具主机和路由器的功能,这样就需要适合Adhoe这种特殊环境的路由协议和路由算法。
本文探讨了一种基于AODV路由协议(Adhoe On-demand Distant Vector,按需距离矢量路由算法)的改进算法——按需距离矢量多径路由算(AODVM算法),并对其性能进行了简单仿真分析,对研究可靠多径路由有一定的指导意义。
【总页数】4页(P167-169,202)
【作者】陈玲;王华
【作者单位】北京首都师范大学信息工程学院,100037
【正文语种】中文
【中图分类】TP393.02
【相关文献】
1.基于80
2.11 MAC的移动Ad Hoc网络AODV路由协议改进算法 [J], 王志永;
刘乃安
2.移动AdHoc网络中AODV路由协议的研究与改进 [J], 刘虎;李路路
3.移动Ad hoc网络中AODV路由协议的研究与改进 [J], 刘虎;李路路;熊鹰
4.移动adhoc网络中对AODV路由协议的改进研究 [J], 陶金晶;沈斌;
5.移动ad hoc网络中对AODV路由协议的改进研究 [J], 陶金晶;沈斌
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基于快速移动节点的Ad hoc网络可信度模型及可信路由协
议
冉崇善;车育
【期刊名称】《西北大学学报(自然科学版)》
【年(卷),期】2015(045)002
【摘要】由于目前广泛应用的路由协议大都是假设网络中的节点是可以信任和相互协作的,对于安全的问题考虑不多,而网络中某些节点很容易被俘获而成为恶意节点,使得现有的路由协议变得十分脆弱,针对这一问题,提出了基于快速移动节点的可信度模型FATM,以及基于快速移动节点的可信路由协议FARP,通过网络中的快速移动节点辅助一般节点进行可信度的计算和更新,并在可信模型建立之后选择可信度较高的路由进行通信.最后采用OPNET对FATM模型进行了仿真,仿真结果表明基于快速移动节点的可信度模型的安全性更高,并且节省了一般节点的能量和空间开销,具有较好的网络适应性及可扩展性.
【总页数】5页(P213-217)
【作者】冉崇善;车育
【作者单位】陕西科技大学电气与信息工程学院,陕西西安710021;陕西科技大学电气与信息工程学院,陕西西安710021
【正文语种】中文
【中图分类】TP319
【相关文献】
1.Ad Hoc网络移动节点的一种快速DOA估计算法的研究 [J], 朱庆华;秦卫平;郭艳
2.基于变可信度模型差值的低可信度模型修正方法 [J], 张德虎;高正红;王明亮
3.一个基于图邻接矩阵模型的多跳Ad Hoc网络路由协议及网络性能分析 [J], 余根坚;郑宝玉
4.基于小世界模型的无线Ad Hoc网络路由协议 [J], 王大星; 朱鹤鸣; 滕济凯
5.基于小世界模型的无线Ad Hoc网络路由协议 [J], 王大星; 朱鹤鸣; 滕济凯因版权原因,仅展示原文概要,查看原文内容请购买。
移动Ad Hoc网络路由协议的性能分析与比较
王博;李腊元
【期刊名称】《计算机仿真》
【年(卷),期】2008(025)001
【摘要】移动Ad Hoe网络是由一组无线移动主机组成的一个没有任何建立好的基础设施或集中管理设备的临时网络.网络拓扑易变、带宽、能源有限是移动Ad Hoe网络的主要特点.分析表驱动路由协议DSDV和按需路由协议DSR、AODV 和TO-RA,并利用NS2软件进行了仿真实验,通过改变节点的暂停时间和移动速度这两个参数来比较这两个参数对这四种协议性能的影响.仿真结果表明,按需路由协议在分组投递率、端到端的平均时延、路由开销方面都表现出较好的性能.但同时结合表驱动路由协议的特点,为进一步在综合考虑以上两类路由协议特点的基础上研究新的路由协议提供很好的参考.
【总页数】4页(P138-141)
【作者】王博;李腊元
【作者单位】武汉理工大学计算机科学与技术学院,湖北武汉,430063;武汉理工大学计算机科学与技术学院,湖北武汉,430063
【正文语种】中文
【中图分类】TP393
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1.基于NS-2的移动Ad hoc网络路由协议性能分析 [J], 陈哲愚
2.移动Ad Hoc网络路由协议性能研究与仿真 [J], 陈伟锋
3.移动Ad hoc网络中几种典型路由协议性能分析 [J], 李秀明;方珍;赵强
4.移动Ad Hoc网络中一种安全的AODV路由协议及性能优化 [J], 陈阳;王勇
5.移动Ad Hoc网络路由协议性能仿真研究 [J], 王琦进;齐晓霞;侯整风
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I.J. Wireless and Microwave Technologies, 2018, 2, 27-36Published Online March 2018 in MECS()DOI: 10.5815/ijwmt.2018.02.03Available online at /ijwmtA Power-based Method for Improving the ODMRP Protocol Performancein Mobile Ad-hoc Networks1Arash.Ghafouri, 2Ahmad Ghasemi, 3Mohammad Reza. Hasani Ahangar1Imam Hossein University/ Department of Computer Engineering,Tehran, Iran2Imam Hossein University/ Department of Computer Engineering3Imam Hossein University/ Department of Computer Engineering, Tehran, IranReceived: 13 October 2017; Accepted: 17 January 2018; Published: 08 March 2018AbstractMobile AD hoc Networks as a special type of wireless networks have received special attention due to having special features such as no need for central management, no need for infrastructure and high mobility capability and can be used in cases where creating an effective communication infrastructure is not cost-effective or is practically impossible, such as conferences, such as battles and communications after natural disasters. Several routing protocols are proposed for these networks. ODMRP protocol is one of the most famous and used protocols in Mobile AD hoc networks. This study was carried out aimed to discuss this routing protocol and then provide a new routing method for this protocol for increasing its efficiency. In the ODMRP protocol, the optimal route is selected based on the shortest route. In wireless communications and getting the nodes away from each other, the received signal levels are weakened and may result in loss of data, and in practice, the shortest path that works based on the number of hops loses its effectiveness. In the proposed protocol, the route is selected based on the received signal strength level. According to the simulation results, the performance of the proposed protocol increases by decreasing control overhead and increasing the packet delivery rate compared to the original protocol.Index Terms: Wireless networks, Mobile AD hoc Networks, Routing protocols, ODMRP protocol© 2018 Published by MECS Publisher. Selection and/or peer review under responsibility of the Research Association of Modern Education and Computer Science1. IntroductionToday, wireless networks have received much attention and are widely used due to their vast applications and * Corresponding author.E-mail address: krghafouri@ihu.ac.ir, ghasemi@toluenet.ir, mrhasani@ihu.ac.irease of use and these networks are constantly growing. Simultaneously, with the use of these networks, the services and quality of this network should also be improved day by day and. In terms of architecture, wireless networks can be divided into two categories, including infrastructure-based networks and infrastructure-less networks. Infrastructure-less networks or Mobile AD hoc networks only include mobile nodes with no central stations, wired connections or network infrastructures [1]. In the Mobile AD hoc networks, nodes can move freely on the network. In these types of networks, nodes in the network are used as router in order to send information. One of the main features of Mobile AD hoc networks is continuous change in the configuration of these networks due to the mobility of the nodes. Also, restrictions on network resources such as bandwidth and power supply can be noted as other features of these networks. The issue of discovering and maintaining the route is of particular importance due to the unstable nature of Mobile AD hoc networks, [2].We are trying to find an affordable routing method due to the two factors of lack of high bandwidth and limited energy in each node. The packets in this network are transferred during a series of continuous storage and retransmission operations by a set of intermediate and middle nodes. The main goal of the routing is to transfer a data packet from the source to the destination in a secure way [3]. In addition, another goal of the routing is to minimize latency. Several routing algorithms are presented these networks, each of which has its own disadvantages, advantages and characteristics. Routing protocols are divided into two types in terms of planning method:1.Table Driven ProtocolsIn this routing method, each nodes uses routing information by storing the local information of other nodes in the network and this information is used to transmit data through different nodes. This protocol includes DSDV, WRP, CSGR and STAR methods.2.On Demand ProtocolsIn this method, routing between nodes is created only when is needed for packet routing. This protocol includes SSR, DSR, TORA, AODV and RDMAR methods.Also, a third type can be considered called Hybrid Protocol. This type combines the two methods above. In these protocols, vector-distance routing method is used to find the shortest route, and it reports routing information only when there is a change in the network topology. The protocols include the following methods SMR, AOMDV, AODVM, ZD-AOMDV, and IZM-DSR.One of the most popular routing algorithms for Mobile AD hoc Networks is the ODMRP algorithm. The ODMRP protocol is designed by the WAM Laboratory at UCLA University [4].2. Related WorksGiven that the odmrp protocol is one of the most widely used protocols, there are many ways to improve the performance of the odmrp protocol. In most of these cases, we have been working to reduce the routing weaknesses of this protocol. By[5] limiting the flooding of the packet Route request reduces the control overhead of messages and thus reduces latency to the end .Authors in[6]present A way to reduce control overhead in ODMRP .The Enhanced ODMRP(EODMRP) proposed a dynamic refresh interval for the multicast mesh based on the network feedback on real disconnections experienced by the multicast network members. Veritably, EODMRP decreased the network control overhead at the cost of obtaining a low packet delivery ratio especially in high mobility conditions of the network.d hwe wen a this method based on path stability is proposed, which uses the In [7] researchers presented.mechanism of Multipoint Relay (MPR) to limit flooding, and puts forward neighbor change ratio to choose three comparatively stable routes .As the result of the improvement, this mechanism optimizes overhead.In another article [8] Changes in routing criteria routing such as packet size, group size, action range and mobility of nodes has been studied. ODMRP uses single path to forwarding packets and this cause to Packet Delivery Ratio reduction in destination. The proposed method in this article uses multi coded paths technique. Thus due to route diversity and overcoming single route breakage, that can improve Packet Delivery Ratio from source to destination.In another research [9] an enhancement to ODMRP is proposed referred to as fuzzy logic based Rate Control ODMRP (FRC-ODMRP). FRC-ODMRP attempts to adapt the arrival rate from upper layers to the state in the network by using feedback information from receivers of the multicast group. Accordingly, source comes up with a decision whether to increase or decrease its transmission rate based on information collected from the receivers. In this research, delay and packet delivery ratio reconsidered as indicators of congestion in addition to number of received packets.a.Introduction of ODMRP protocolOn-Demand Multicast Routing Protocol is a multicast protocol and operates in an On-Demand manner [10]. This protocol uses the concept of a forwarding group to build a mesh for each multicast group [11]:The most important features of this protocol include: simplicity, high strength in the case of disconnection error and movement of nodes due to the mesh structure, no need to send no explicit control packet when the nodes join the group or leave the network, low memory overhead, use of new route for maintenance and exploitation of multiple and duplicate routes, the ability to increase the number of network nodes, the lack of dependence on single cast routing protocols. The disadvantages of this protocol include: Repetitive send of data due to mesh configuration, dependency of route repair to Join Query [12] that are sometimes propagated by the source. ODMRP is a mesh-based multicast protocol in which MANETs is used [13]. This protocol creates a group to transfer the node considering the shortest routes among members of the group [14]. Then it uses the created group to transfer data between members of the group. The nodes in the ODMRP can freely join the group without any information message or leave the group [15]. When a source sends the flooding of Join Queries, any node that receives a non-duplicate Join Query stores the upstream node's address and retransmits the packet. This will continue until a route is discovered from origin to destination. If a multicast destination node receives a Join Query, it initially creates a Join Reply and then propagates it. Each node that receives this Join Reply examines whether it is placed on the route to source. If the answer is yes, it will re propagate the package again, and will continue until the packet is received by the source. The ODMRP protocol creates and updates the routes by using the flooding propagation of the Join Queries. However, excessive flooding of limited bandwidth destroys Mobile AD hoc Networks and creates a control overhead. In addition, the flooding often causes congestion and collision. So finding the optimal flooding interval is critical in ODMRP performance. In the above cases, the ODMRP protocol maintains members of the multicast group using a soft approach. Any specific management messages aren't needed to join or leave the group, and nodes can apply to leave the group without any prior announcement. However, this method in the ODMRP protocol has the following problems and disadvantages, some of the most important are:1.This method does not allow reproduction of the Join Query (JQ) for back in the learning process, so itwill be difficult to find the optimal route back.2.This method does not have a control mechanism for the physical layer, so the nodes send with constantpower and constant propagation rates.3.There is no mechanism to detect a node with better power for sending, that is, the shortest path is onlycomponent necessary to select the next node for routing.4.Getting the nodes away from each other, their power received decreases and the potential for loss ofpacket information is increased. This leads to resend the packets due to congestion and congestion.5.The ODMRP protocol only works based on the lowest hop [16] and this will sometimes be associatedwith problems.Figure 1 shows the overall performance of the ODMRP protocol to send Join Query.Fig.1.The function of the ODMRP protocol in sending a Join Query3. Proposed methodIn this section, we explain our proposed method in order to provide a method for improving ODMRP routing performance. In the proposed routing protocol, the parameters of power and signal strength of the received signal are also considered in addition to mentioned ones. The new protocol with this feature is known as Power Awareness ODMRP (PA-ODMRP).The proposed method will lead to reduce the computational overhead and, as a result, increase packet delivery ratio. In addition, the use of this method will reduce the loss of packets, because in wireless communication and routing, getting the nodes away from each other, the power level of the received radio signal has dropped, and the less or non-acceptable power level reaches to the recipient's node. This will lead to loss the packets, and the sender's node will have to re-send the packets, so it leads to traffic, bandwidth consumption, and create a queue in the network. If with higher power levels are used in routing, the problem above can be solved. The proposed PA-ODMRP method, unlike the ODMRP protocol, is not based on the shortest route, and the best route in this protocol will have a higher power. The routing mechanism of this method will be discussed in the next section.a.PA-ODMRP protocol routing mechanismSince the only criteria for choosing the best route is the shortest path (the route with has less hop) in the protocols that work based on the distance vector, other factors may not be considered and it may be associated with problems. In the proposed method which is related to the wireless and Mobile AD hoc networks, the main focus is on the power level transmitted and received by each node. The problem arisen with choosing the shortest route as the best route can be influenced by the presence of nodes with a long distance of each other, which lead to failure to reach the desired power level to the receiver node. In the next section, we describe this issue and relevant challenges. As shown in Fig. 2, there are two routes from the source node S to the destination D.Fig.2. Comparison of routes and power receivedThe first route by nodes A1, A2, A3, and A4, and the second route by nodes B1 and B2 Obviously, in On-Demand Multicast Routing protocol, Route B is selected as the shortest and optimal route for sending, because the route has a less hops. But in practice because the distance between B1 and B2 or B2 to D may be high, it is likely that the acceptable signal level doesn't reach to the receiver node and will loss the information packets during sending. This will cause the sender has to retransmit the packets, which will result in creating a queue and delay in the delivery of packets. If in the route A, despite the higher number of hops, due to the closeness of the nodes, each node receive a power at a high level, and the loss of information due to the low level of the signal won't be possible. Now, if high-power routes in both sending and receiving modes are in the top priority, the routing criterion is changed from the less number of hops to the high-power routes, we can say that the problem of losing information packets due to low power will be minimized. The PA-ODMRP routing mechanism is as follows:1.First, along with the Join Query to find the route, the power level received is also sent to the nodes,meaning each node, along with the Join Query, sends the power level received to the neighboring nodes.In accordance with the ODMRP protocol, all nodes which receive this packet, if they are not duplicate ones, and have not expired will publicly propagate this message. The subject arisen in ODMRP is that in this protocol, routing and Query for the creation of a route to the destination is done based on Query, but when a route is established to a destination, this route is periodically updated, and this is done by sending Join Query in the flooding manner periodically. In the proposed PA-ODMRP protocol, the route is updated periodically and according to the original ODMRP protocol.2.If there is no duplicate query, and the time has not expired, the node will record this query and update itsrouting table and recall the return route to node sender. The additional work done in the new PA-ODMRP protocol is that in addition to the above, the receiver node sends its power level received tothe next node. A node of neighboring nodes that receives the route Query packet checks it, and, if it is eligible (not duplicate and does not end time), in addition to the items in the main protocol, stores the power level in a table.3.The publicity propagation process of the Route Query and the power level are sent repeatedly toidentify the existing routes to the destination.4.Given that every node stores the amount of power received from the sender's node and sends it to thenext node, these powers are sent from the previous nodes for the next node. Figure 3, shows that the first node only sends its received power to the second node. But the second node, in addition to its power received, information related to the power received by the first node sends to the third node. Similarly, the third node sends the information received by itself, second and first nodes, as a table to the fourth node. This process will continue in this way, and eventually information received by all nodes will reach to the destination node.5.At the end and after the query packet arrives at the destination, a route will be selected as the optimalroute which has the highest average amount of power received. The average power received is obtained by calculating the sum of power received by all recipients to the destination divided by their number.Fig.3. Recording the power received by each node4. Simulation and comparing the proposed protocolThe results of simulation and comparison of two PA-ODMRP and ODMRP protocols are in three fields are discussed in this section. Comparison of control overhead changes with increasing data rates (data packets per second), comparison of control overhead changes with increasing number of nodes, comparison the percentage of packet delivery with increasing speed in this simulation is studied. The above has a significant impact in speed and efficiency of the network, and packet delivery rate will increase dramatically by reducing control overhead and an increase in the packet delivery rate.a Comparison of control overhead with data rate changesHere, the control overflow is defined as the total number of control packets on the total number of delivery packages. Therefore, whatever the control overhead is lower, then the lower control information will be exchanged in the messages transfer process. This is shown in Figure 4.Fig.4. Data Rate (control packets per second)As it can be observed in the figure, control overhead reduces by increasing the data rate in both control protocols. The PA-ODMRP proposed protocol has better results compared with the original ODMRP protocol. The control overhead at a low data rate is about 100% and at a high data rate has reduced about 40% compared with the original protocol.b Comparison of control overhead with changes in number of nodeAlways, one of the concerns has been how to react to the increased number of nodes by the protocol. In the ODMRP protocol, given the formation of forwarding groups as well as the mesh-based behavior of the protocol, if the number of nodes increases, control overhead will reduce. But this is more observed in the proposed PA-ODMRP protocol, and given the lower loss of information packets, the protocol has fewer control overhead compared with the original ODMRP protocol. This is shown in Figure 5. The control overhead in the proposed protocol, on average, has reduced by 30 percent compared with the original protocol.Fig.5. Comparison of control overhead with changes in the number of nodesc Comparing the percentage of packet delivery with changes in the nodes speedIn vehicles, no change must be made in the package delivery rate by increasing the speed of a node. As it can be observed in Figure 6, in both protocols, packet delivery rate decreases with increasing speed, but firstly this decrease is not important and, secondly, the decrease rate is very low. Figure 6 shows that the packet delivery rate in the proposed protocol at higher speeds is higher at least 10% than the original protocol.Fig.6. Comparison of packet delivery rates with node speed changes5. ConclusionsThe ODMRP protocol has disadvantages in spite of its positive features such as simplicity, high strength in the case of disconnection error and movement of nodes, no need to send no explicit control packet when the nodes join the group or leave the network, having single-cast and multicast capabilities. One of these disadvantages is that routing is done based on the shortest route, regardless of the possibility of information packets loss due to the weakening of the strength of the radio signal. Routing is done using the power component received from each node in both the proposed method and the PA-ODMRP protocol. In this method, by specifying the power received from each node, a route with higher power level in the receiver will be used for dealing with information packets loss. According to simulation results, the PA-ODMRP protocol has a better performance than the main protocol in terms of reducing the computational overhead by 30% and increasing the percentage of delivery packages rate by 10%.References[1] C. S. R. Murthy and B.S. Manoj, "Ad Hoc Wireless Networks Architectures and Protocols", PRENTICEHALL, 2004.[2]S. Yang, J. Wu, “New technologies of multicasting in MANET,” Design and Analysis of WirelessNetworks, Y. Xiao and Y. Pan, Eds,. Nova Science Publishers, Baltimore, MD, USA, 2005.[3]Ma Weihua, Research of multicast routing protocol in Ad Hoc network[D].Beijing: master degree thesisof The national defense science and technology university, 2009.[4]L.M. Feeney, "A taxonomy for Routing Protocols in Mobile Ad-hoc Network".www.sics.se/~lmFeeney/huc.pdf,2001.[5]Mahdi KHazai, Reduced control overhead and load balancing in the odmrp multiprocessor routingprotocol,Third National Conference on Computer Engineering and Information Technology, Hamedan, Iran, 89[6]Darabkh and Ola A. Alsukour , Novel Protocols for Improving the Performance of ODMRP andEODMRP over Mobile Ad Hoc Networks Hindawi Publishing Corporation International Journal of Distributed Sensor Networks, 2015.[7]Yang Yanga, Cao Jieb, Improvement on Multicast Routing Protocol ODMRP Based on Path Stability,International Conference on Computer Science and Information Technology, 2011.[8]Shapour Joudi Begdillo, Mehdi Asadi, Abolfazl Toroghi Haghighat, Improving Packet Delivery Ratio inODMRP with Route Diversity, IJCSNS International Journal of Computer Science and Network Security, 2007.[9]Alireza Shams Shafigh, Beatriz Lorenzo, Savo Glisic, Fuzzy Logic Based Rate Control Scheme forODMRP in Mobile Ad hoc Networks Online, Automatika Journal for Control, Measurement, Electronics, Computing and Communications, 2014.[10]S. J. Lee, M. Gerla, and C. C. Chiang, “On-Demand Multicast Routing Protocol” Proceeding of IEEEWCNC,1999.[11]Abdollahi, K., A. Shams Shafigh and A.J. Kassler, Improving performance of ODMRP by Deleting LostJoin Query Packets. ACIT, Spain, 2010.[12]Pathirana, D., Resilient On Demand Multicast Routing Protocol. Master of Science thesis, ROCHESTERInstitute of Technology, 2007[13]Esmaeili T, Lari M, Akbari Jahani E, Mohamadi S, "Proposing an approach for routing overheadreduction in mobile ad hoc networks," Electronic Computer Technology, International Conference on , May, 2010.[14]Y. Yi, S.-J. Lee, W. Su, M. Gerla, Mobile ad hoc networking (manet): Routing protocol performanceissues and evaluation considerations, Internet-Draft (/id/draft-ietf-manet-odmrp-04.txt),2002.[15]C. Chiang, M. Gerla, L. Zhang, Forwarding group multicast protocol (fgmp) for multihop, mobile wirelessnetworks, 1998.[16]S.-J. Lee, W. Su, M. Gerla, Wireless ad hoc multicast routing with mobility prediction, Mob. Netw., 2001. Authors’ ProfilesArash Ghafouri is a researcher of computer engineering in the school of computerengineering of Imam Hossein University. He was born in Tehran, Iran in 1990. Hereceived his Master of Science in computer engineering with area of study of distributedsystems from Iran University of Science and Technology in 2014. His current researchinterests include distributed and high performance computing, virtualization technology,network security, and data science.Ahmad Ghasemi received his B.S. degree in Electronic engineering from Mohaddes NooriUniversity,Noor,Iran, in 2006, and now is student in M.S in IT engineering in ImamHoseyn University, Tehran, Iran. His research interests cover Mobile Ad hoc Network(MANET) and specially Power in this Network.Mohammad Reza Hasani Ahangar is an associate professor of computer engineering inthe school of computer engineering of Imam Hossein University. He directs the researchlaboratory of artificial intelligence. He is mainly interested in intelligent systems, solutions,and applications, particularly for use in various fields of science. He received his PhD incomputer engineering from Iran University of Science and Technology in 2011.How to cite this paper: Arash.Ghafouri, Ahmad Ghasemi, Mohammad Reza. Hasani Ahangar," A Power-based Method for Improving the ODMRP Protocol Performance in Mobile Ad-hoc Networks", International Journal of Wireless and Microwave Technologies(IJWMT), V ol.8, No.2, pp. 27-36, 2018.DOI: 10.5815/ijwmt.2018.02.03。
基于快速移动节点的Ad hoc网络可信度模型及可信路由协议冉崇善;车育【摘要】由于目前广泛应用的路由协议大都是假设网络中的节点是可以信任和相互协作的,对于安全的问题考虑不多,而网络中某些节点很容易被俘获而成为恶意节点,使得现有的路由协议变得十分脆弱,针对这一问题,提出了基于快速移动节点的可信度模型FATM,以及基于快速移动节点的可信路由协议FARP,通过网络中的快速移动节点辅助一般节点进行可信度的计算和更新,并在可信模型建立之后选择可信度较高的路由进行通信.最后采用OPNET对FATM模型进行了仿真,仿真结果表明基于快速移动节点的可信度模型的安全性更高,并且节省了一般节点的能量和空间开销,具有较好的网络适应性及可扩展性.【期刊名称】《西北大学学报(自然科学版)》【年(卷),期】2015(045)002【总页数】5页(P213-217)【关键词】自组织网络;可信度模型;可信路由协议;快速移动节点【作者】冉崇善;车育【作者单位】陕西科技大学电气与信息工程学院,陕西西安710021;陕西科技大学电气与信息工程学院,陕西西安710021【正文语种】中文【中图分类】TP319无线自组织网络[1]MANET(Mobile Ad hoc network)是由一系列具有无线通信能力的节点构成,不需要依赖现有固定通信设施,能够临时迅速展开使用的一种网络体系,网络中的节点既是主机,又具有路由功能,可以满足紧急情况下通信的需要[2]。
与传统的网络需要基础的通信设施不同,自组织网络没有控制中心,也不依赖预设的基础设施,所有的结点处于平等的地位,可以快速构建起一个无线通信网络,而且任一结点的故障都不会影响整个网络的运行,所以自组织网络具有很强的抗毁性。
由于无线信道本身的脆弱性,自组织网络容易遭到窃听、入侵、拒绝服务等攻击,而且相比传统的无线网络,自组织网络没有固定基础设施,这一弱点就更为突出[3]。
自组织网络的特殊性使得传统的信任模型很难适应其网络环境,为了降低可信模型过程中的计算量和资源消耗,同时满足可信模型的快速建立和扩展能力,本节提出了基于快速移动节点的可信度模型FATM(Fast-moving nodes assisted trust model),并对其进行详细的分析。
2012年4月 第8卷第2期 系统仿真技术
System Simulation Technology Apr.,2012
Vo1.8,No.2
中图分类号:TP 391.9 文献标识码:A
基于元建模的移动Ad Hoc网络性能优化 胡志伟 ,梁加红 ,陈 凌 ,吴 (1.国防科学技术大学机电工程与自动化学院,湖南长沙 2.防化研究院信息研究中心,北京102205)
冰 410073;
摘要:针对移动Ad Hoc网络性能优化过程中的仿真模型精确性与仿真模型运行效率之间的矛盾,提出了利用相 关向量元模型来拟合网络仿真模型并进行优化的解决方法。重点研究了元建模方法中的实验设计方法、元模型拟 合方法、模型验证与评估等关键技术。利用适度精确的元模型替代仿真模型进行设计空间探索和多目标优化,实验 结果表明,基于元模型的优化可以成功应用于移动Ad Hoe网络等复杂系统建模、分析与优化,有效提高此类计算密 集过程的计算效率。 关键词:移动Ad Hoc网络;元建模;基于元建模的优化;计算密集过程
Optimization of Mobile Ad Hoc Network Performance Using Metamodeling Methodology
HU Zhiwei ,LIANG Jiahong ,CHEN Ling , U Bing (1.College of Mechatronics Engineering and Automation,National University of Defense Technology,Changsha 410073,China 2.Information Research Central,Institute of Chemical Defense,Beijing 102205,China)
Abstract:To address the dilemma between the accuracy of simulation model and runtime efficiency which take place in the simulation based network performance optimization of mobile ad hoc networks, the metamodeling methodology is investigated to characterize and optimize the performance of network In this paper,three metamodeling techniques are researched in detail,which are design of experiment, metamodel choosing and model fitting and model validation.With a reasonably accurate metamodel as a “surrogate”,the design space is explored and performance optimization is carried on.The result shows that the metamodel based optimization can improve the efficiency of computation—intensive process,and it can be successfully applied to the domain of complex systems such as mobile ad hoc networks, facilitating system modeling,analysising and optimization Key words:mobile Ad Hoc networks;metamodeling;metamodel based optimization;computation intensive process
引 嗣 移动Ad Hoc网络(Mobile Ad Hoe Networks,
MANET)是由无线移动节点组成的复杂分布式网 络系统,节点可以动态地自组织成任意临时性网络 拓扑,从而允许装置在没有预先存在通信基础设施 的环境中(如灾后救援和重建)进行无缝地互连互 通。从战场通信、传感器网络到智能家电,MANET 94 系统仿真技术 第8卷第2期 的应用领域非常广泛。仿真技术是进行复杂系统 建模、分析和设计的有效手段,对于MANET这类 复杂系统的性能优化,研究者采用基于仿真的优 化方法(Simulation Based Optimization,SBO)。网 络性能优化本质上是一个复杂的迭代寻优过程, 是涉及多学科领域、多种研究目标和多模型仿真 的计算密集过程(Computation Intensive Process) 。由于分析研究的仿真模型的精确度 和复杂程度越来越高,运行仿真模型进行性能评 估仍可能耗时很长,现有计算能力往往无法有效 满足仿真优化快速运行的需求。 为解决仿真模型精确性与仿真模型运行效率 之间的矛盾,研究者提出了基于元模型的优化 (Metamodel—based Optimization,MBO)¨ 。元模 型的概念最早由Blanning 在1975年提出,由 Kle ̄nen 引入仿真领域。元模型,就是复杂精确 仿真模型的一种近似代理模型(Surrogate Mode1),即“模型的模型”。通过对仿真模型的I/ O数据进行拟合,得到简化的、近似的数学模型, 用它来代替或部分代替仿真模型进行仿真实验, 以提高实验的效率。创建元模型的过程称为元 建模(Metamodeling)。元模型广泛应用于系统设 计、生产制造、经济管理和军用仿真等多个领 域¨ ,但在MANET领域应用较少。Barrett 和Vadde等人…首先将实验设计和统计分析应 用于描述路由协议、媒体访问控制(MAC)协议和 节点移动模式和负载之间的参数、协议交互。 Hui 利用低阶多项式元模型进行Wi—Fi网络性 能研究,与解析模型相比,元模型更好地拟合了 仿真模型,并为其设定的需要闭合形式模型的应 用提供了条件。现有的研究多采用低阶多项式 模型,当问题的输人输出关系复杂、非线性程度 高和规模较大时,建模精度和准确度都不够,研 究仍待加深。 本文从网络性能优化出发,研究在计算资源 和预算有约束的情况下,如何获取满足精度要求 的系统优化设置。文中提出了基于相关向量回 归(Relevance Vector Regression,RVR)元模型和 遗传计算的网络性能优化框架。其中重点研究 元建模过程中的实验设计、模型选择和模型拟合 等相关技术进行网络性能建模,并利用元模型替 代仿真模型进行优化计算。
2 基于相关向量回归元模型和遗传 计算的优化框架
MANET仿真是典型的离散事件系统仿真, 存在大量的随机因素,一般的网络仿真系统都采 用伪随机数的形式模拟随机因素。无法直接获 得某组设计参数的目标函数,须以多次仿真的输 出平均作为目标函数。其性能优化问题存在高 度非线性和多极小性等特性,传统优化算法往往 难以有效使用。基于元模型的仿真优化方法,一 方面可以提供明确的目标函数,另一方面可以大 幅降低计算开销,为网络性能优化问题提供了一 条可行的解决途径。本文采用一种基于RVR全 局元模型的仿真优化方法,利用RVR构建仿真元 模型,并选择遗传算法作为优化算法。主要出于 以下考虑:RVR所需训练样本少,且模型拟合精 度高,适用于对非线性程度较高的问题进行全局 建模;遗传算法是一种全局随机优化算法,不需 要目标函数连续、不容易陷入局部最优、不需要 相关领域知识,遗传算法适合于处理高非线性、 多极点的仿真优化问题。算法主要划分为两个 阶段:RVR全局元模型的建模阶段和基于元模型 的优化阶段,如图1所示。
3 实验设置 本文以MAC层和路由层为例进行研究,两层 之间的协议交互和参数组合对性能有较大影响。 MAC层协议选取IEEE 802.11,路由层协议选取 Ad Hoc按需距离矢量路由协议(Ad Hoc On— Demand Distance Vector Routing,AODV)。两者都 较为成熟,在大多数仿真系统和测试床中都有实 现,重点关注元建模应用的过程。 AODV是按需路由,主要使用路由发现和路 胡志伟,等:基于元建模的移动Ad Hoc网络性能优化 95 图1 基于兀模型的优化算法框架 Fig 1 Optimal algorithm framework based on metamodel
由维护机制。本文使用链路层应答来实现路由 维护中对下一跳节点可达性的应答,以此作为两 层的交互。文中利用AODV和IEEE 802.11协议 的参数设置和交互对网络性能的影响进行说明。 选取的设计变量和性能指标如下。 3.1 设计变量 (1)节点传输时间(Node Traversal Time, NTT):对数据平均一跳传输时间的保守估计,包 括排队时延、中断处理时间、传输时间。 (2)路由发现请求消息重复次数(RREQ Retries,RRR):在路由发现进程中,对同一目标节 点可以发送的RREQ最大次数。达到该次数限制 以后,需要暂停一段时间,才能发起另一次路由发 现进程。 (3)活动路由超时时间(Active Route Timeout,ART):网络中节点按需建立了到其他节 点的可用路由,这些路由需要定义一个有效期,以 便及时响应网络的动态变化。节点收到有关节点 的路由信息后更改该节点相应的路由。当经过活 动路由超时时间后,没有收到某节点的路由信息, 则认为该节点的路由信息过期并删除相应活动路 由,在有业务需求时进行新的路由发现进程。 (4)MAC层最大重传次数(Retry Limit, SRL):利用请求发送/允许发送(RTS/CTS)进行 链路确认时最大的重传次数,如果没有收到应 答,则通知链路中断。 表1设计变量的取值范围 Tab.1 Value range of the design variables 3.2定量性能指标 (1)平均吞吐量(Average Throughput):目标 节点每秒接收到的数据量(bit/s)。即一段时间 内两节点间数据传输量与时间之比,用于衡量网 络运行过程中负载状况。 (2)平均数据延迟(Average Packet Delay): 数据从源节点到目标节点经历的平均时间(S)。 接收节点收到数据包与发送节点发送数据包的 平均时间间隔,主要为建立路由所消耗的时间与 数据转发所占用的时间之和.该指标用于衡量网 络数据传输实时性。 3.3仿真场景和参数配置 仿真实验考虑同构网络,即每个节点采用相 同的参数配置。在确定实验设计方案以后,针对 每一组参数组合,利用不同的随机数进行20次仿 真,每次900 S,取结果的平均值,以减少随机误 差。详细的仿真场景和参数配置如表2所示。 4网络性能元建模 在基于元模型的优化过程中,元模型的建 立是关键。元模型的质量直接影响优化过程的可