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首页> 外文期刊>Wireless personal communications: An Internaional Journal >A Dempster-Shafer Based Tit-for-Tat Strategy to Regulate the Cooperation in VANET Using QoS-OLSR Protocol
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A Dempster-Shafer Based Tit-for-Tat Strategy to Regulate the Cooperation in VANET Using QoS-OLSR Protocol

机译:一种基于Dempster-Shafer的Tit-t-Tat策略,使用QoS-OLSR协议调节VANET中的协作

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摘要

In this paper, we address the problem of cooperation among vehicles in VANET using QoS-OLSR protocol in the presence of selfish nodes. QoS-OLSR is a proactive protocol that considers the Quality of Service (QoS) of the nodes while electing the cluster-heads and selecting the Multi-Point Relay (MPRs) nodes. Cluster-heads and MPRs might misbehave on the roads by over-speeding or under-speeding. Classical and generous Tit-for-Tats are proposed to analyze the interaction among vehicles. However, both strategies are not able to enforce the cooperation due the fact that they (1) count on individual watchdogs monitoring, (2) rely on the node-to-node cooperation decision, (3) and ignore the high mobility and packet collisions. Therefore, we propose a Dempster-Shafer based Tit-for-Tat strategy that is able to improve the decision and regulate the cooperation in the vehicular network. This is done by (1) launching a cooperative watchdogs monitoring, (2) correlating the observations of the different watchdogs using Dempster-Shafer theory, and (3) propagating the decisions among clusters. Thereafter, we compare the Dempster-Shafer based strategy with several strategies derived from the original Tit-for-Tat. Simulation results prove that the Dempster-Shafer based strategy is able to maintain the survivability of the vehicular network in the presence of high mobility and packet collisions with minimal time and overhead.
机译:在本文中,我们在存在自私节点的情况下使用QoS-OLSR协议解决了VANET中车辆之间的协作问题。 QoS-OLSR是一种主动协议,在选择群集头并选择多点中继(MPR)节点时会考虑节点的服务质量(QoS)。簇头和MPR可能会因超速或低速而在道路上出现异常。提出了经典而慷慨的“针刺山寨”来分析车辆之间的相互作用。但是,这两种策略都无法执行协作,原因是它们(1)依靠各个监视程序进行监视;(2)依赖于节点到节点的协作决策;(3)却忽略了高移动性和数据包冲突。因此,我们提出了一种基于Dempster-Shafer的Tit-Tat策略,该策略能够改善决策并调节车载网络中的协作。这是通过(1)启动协作式看门狗监视,(2)使用Dempster-Shafer理论将不同看门狗的观察结果关联起来,以及(3)在集群之间传播决策来完成的。此后,我们将基于Dempster-Shafer的策略与从原始的Tit-for-Tat派生的几种策略进行了比较。仿真结果证明,基于Dempster-Shafer的策略能够在具有高移动性和数据包冲突的情况下以最少的时间和开销来维持车辆网络的生存能力。

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