Routing in Wireless Mesh Networks based on Termites' Intelligence

Abstract

Wireless Mesh Network (WMN) is envisaged to be key component of next generation wireless networks which can effectively cope with the ever increasing fast and vast growing need to access data and avail services over the network. These networks provide infrastructure less high speed internet access to the end users and have a cutting edge over the existing networks. Routing, being most critical issue in their implementation. The dynamic network conditions impose setbacks in the selection of optimal path. There is exigent requirement to tackle these routing issues in context of these networks. In this paper, the authors apply a nature inspired soft computing based meta heuristic technique called Termite Colony Optimization in WMN to find an optimal route based on the link cost. TCO approach is inspired by the emergent behaviour exhibited by the natural termite colony swarms for mound building. Experimentally TCO shows faster converges over some existing algorithms.