A Hybrid Approach to Extend the Life Time of Heterogeneous Wireless Sensor Networks

In this work, we propose to use two optimization meta-heuristics that are: firefly and simulated annealing to extend the life time of a heterogeneous wireless sensors network (WSN) with a fixed base station by reducing the communication energy consumption. The proposed approach combines between the clustering and the chain approaches. Our optimization algorithm tries at first time to find the optimal clustering over the network nodes using the firefly algorithm then inside each cluster it attempts to find the best chain using simulated annealing. A particularity in our algorithm is the dynamic adjustment of clusters number over rounds.