Termite Colony Optimization Based Routing In Wireless Mesh Networks

Sharad Sharma, Asha Malik


With the advancement in wireless technologies WMN has become key component of the next generation wireless network technologies. Due to the dynamically changing network conditions finding paths in the networks have become a challenging issue for their implementation. In this paper we propose a nature inspire swarm intelligence based soft computing technique called Termite Colony Optimization, for solving network path optimization problems. TCO takes its inspiration from natural termite’s mound building behaviour based on the pheromone gradient. It is a meta-heuristic technique. TCO is effective at calculating minimum cost path when run for definite iterations, thus optimizes network performance.


Soft Computing, Stigmergy, Swarm Intelligence (SI), Termite Colony Optimization (TCO), Wireless Mesh Network (WMN)

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