Recently, wireless mesh networks (WMNs) technology has gained a lot of attention in network research community. WMN is a multi-hop wireless access network where nodes can act both as a router as well as a host. One of the factors that influence the performance of WMNs is the underlying routing protocol used. Thus, numbers of different multipath routing protocols are proposed in recent years. This paper addresses the requirement of local repair under high speed movement scene of wireless mesh network, of route breakage in multipath routing in wireless mesh networks. In this context we have proposed a local repair based AOMDV protocol, to maximize the benefit of proposed algorithm to achieve better performance metrics in both packet loss ratio and routing overhead and packet delivery ratio in high speed mobility networks. Various simulations with varying nodes has been conducted to validate the improvement of the proposed algorithm against the original AOMDV. Performance comparison between AOMDV and AOMDVLR has been analysed in detail, showing that proposed AOMDVLR has achieved better outcome in certain scenarios.
Vehicle Ad Hoc Network (VANET) is a dynamic network with a variety of applications in intelligent transport systems. There are several routing protocols for establishing paths between sending and receiving nodes. AODV is a reactive routing protocol that broadcasts a route request to all adjacent nodes, which forward the request to their neighbors. This process helps select the path from sender to receiver. The AODV protocol is the best routing protocol when you have a large number of communicating nodes. In this study, AODV and Ant Colony Optimization (ACO) techniques are applied to transfer data. Ant colony optimization algorithm is applied considering the initial coordinates of each node. Paths established using reactive routing protocols are likely to congest the network and also consume large amounts of network bandwidth. This research is based on using a multicast approach to establish a path from source to destination to reduce the potential for network congestion. It generates the shortest route and achieves higher throughput, less packet loss, and less delay than existing protocols.
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