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Wireless Mesh Networks (WMNs) do not rely on any centralized administration and they are built by the connection of various static and mobile entities (i.e. nodes). The cooperation and coordination between these network entities is very essential to establish a secure routing path. Such distributed nature of WMNs increases the vulnerability of routing protocols. Modeling and computing trust in such a distributed environment is essential since the network is self-organizing, self-configuring and relies on multihop routing. Therefore, to ensure a secure route discovery and its maintenance, it is important to compute trustworthiness of individual nodes in a cooperative manner for discovering neighbors, selecting routers and announcing topology information in WMNs. In order to detect trustworthy nodes in the networks, we propose a model based on Multiple Criteria Decision Making (MCDM) which quantifies node behaviors into discrete quantity. The proposed scheme ensures detection of malicious and misbehaving nodes in the network which is verified through code simulation.

Modified Optimized Link State Routing (M-OLSR) has been developed for adaptability in Wireless Mesh Networking (WMNs) scenarios and exhibits a much better scalability of traffic load and mobility in sparse and dense network. The protocol uses some refresh timers for periodic updates of link information and for subsequent topology maintenance. In this paper, we investigate the impact of configuring refresh timer interval on protocol's performance under various networking scenarios. Simulation results demonstrate that, HELLO message timer interval has bigger impact than Topology control (TC) message timer on M-OLSR performance. And, as the network mobility increases, the impact of configuring refresh timer interval has greater effect than a relatively stable network.