An Optimization Technique for Wireless Mesh Networks

Abstract: Wireless mesh network is a most popular technology now a days due to its low installation cost, easily deployable, self configurable technology as compared to other competitive technologies. Access points/wireless routers and wireless nodes are the important part of this technology. In this paper, we present the optimized routing technique for wireless mesh network based on the Hopfield neural network and mobile agent technology and fuzzy logic system with primary goal to find an optimal route. Mobile agent technique is used to share the information of network conditions. Here, we realized the proposed routing technique through two independent methods. They are both based on the neuro-fuzzy logic. In first method, an optimized route is finding out based on multi criteria optimization in order to provide the best possible usage of resources. In second method, all routing minute to minute information is detected and shared all over the network. In this procedure, mobile agent technology has been proposed here. For optimization of the route, criteria are number of hops, link capacity and link occupancy. These criteria should use network resources as optimally as possible.

Keywords: Mobile agents, Hopfield neural networks, Fuzzy logic, Neuro –fuzzy, optimization,Access points