Wireless Mesh network is a wireless communications and allows multiple nodes work together to deliver message to the destination. Mesh topology improve the reliability of the entire network. Investment is needed in wireless mesh networks less than the cellular network. Wireless Mesh Network is a technology solution to increase the coverage, reliability and ease of implementation that have the nature of multi-hop, self-reconfigurable, self-healing and self-organized. WMN performance depends on the routing protocol used. Routing metrics used by routing protocols decides which route to use between pair of nodes. Various routing metrics have been developed to increase throughput, load balancing and choose the path that is reliable in Wireless Mesh Network. Some cross-layer routing metrics have been developed to improve network performance.
This study aims to improve the throughput received by the network, by evaluating the performance of the simulation results cross layer routing metrics Expected Forwarded Counter (EFW) using routing protocols OLSR at 802.11 Wi-Fi Wireless Mesh Network. EFW is routing based on cross-layer metrics to overcome the problems caused by the drop packet selfish behavior on a mesh router. Simulations carried out by using Network Simulator 2.
An optimal routing metric has a potential to improve performance of a wireless mesh network. For better performance Improvement can be done by designing efficient routing metrics that can support adaptive mesh routers and mesh clients. The simulation results were evaluated with a modified routing metric EFW with protocol routing OLSR in Wi-FI Wireless Mesh Network. Routing metric EFW is an improvement of ETX by adding the estimated probability of dropping relaying node. The propose routing metric is a combination of EFW metric with routing metric ETT that consider packet size and bandwidth of the link to improve overall routing performance. From the simulation result , routing metric EFW modification has better performance fo throughput,PDR, Packet loss, and end to end delay than routing metrix etx or routing metric EFW, when the number of nodes used is smaller and using high data rate scenario.