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A new cooperative communication algorithm for improving connectivity in the event of network failure in VANETs

机译：VANET中出现网络故障时改善连接性的新的协作通信算法

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Communication in Vehicular Ad-Hoc Networks (VANETs) is frequently disrupted by high mobility of nodes, obstacles, and interference-prone links. The communication link between nodes can be maintained using cooperative communication techniques where nodes collaborate with one another to increase the network performance. Implementation of cooperative communication, which requires helpful nodes to collaborate with others, is a difficult task in VANETs due to their inherent characteristics. Selection of a cooperative node which will help during the retransmission process is the most crucial work in the cooperative communication process considering the dynamic nature of nodes. In this study, we formulate a game-theoretic relay selection protocol for MAC-level retransmission, where every node plans to maximize their received incentives, which is determined by an incentive function. Therefore, cooperative neighboring nodes form tree structures to the destination node from transmitter node by using the proposed algorithm, NGOMA. The distributed incentive function stores promiscuous packets in nodes and forms a tree architecture with cooperative nodes to relay messages to the recipient node from the source node in times of packet-loss events. The network formed by the NGOMA protocol by the source and destination node with relay nodes, converges into a Nash network. Numerical results show that NGOMA, which allows nodes to cooperatively store and transmit lost packets to the recipients, reduces the MAC level retransmission delay by 63% compared to a non-cooperative function, which does not cooperatively relay messages. (C) 2017 Elsevier B.V. All rights reserved.
机译：车辆专用网络（VANET）中的通信经常因节点，障碍物和易受干扰的链路的高移动性而中断。可以使用协作通信技术来维护节点之间的通信链接，在协作通信技术中，节点之间可以相互协作以提高网络性能。由于VANET固有的特性，实现协作通信（这需要有用的节点与其他节点进行协作）是VANET中的一项艰巨任务。考虑到节点的动态特性，选择一个在重传过程中将有帮助的协作节点是协作通信过程中最关键的工作。在这项研究中，我们制定了一种用于MAC级重传的博弈论中继选择协议，其中每个节点都计划最大化其收到的激励，这由激励函数确定。因此，通过使用所提出的算法NGOMA，协作的相邻节点从发射机节点到目标节点形成树结构。分布式激励功能将混杂的数据包存储在节点中，并与协作节点一起形成树结构，以在发生数据包丢失事件时将消息从源节点中继到接收方节点。由NGOMA协议由源节点和目标节点以及中继节点组成的网络收敛为Nash网络。数值结果表明，与不协作中继消息的非协作功能相比，允许节点协作存储丢失的数据包并将其传输到接收方的NGOMA将MAC级别的重传延迟降低了63％。 （C）2017 Elsevier B.V.保留所有权利。

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