FLIHSBC: Fuzzy Logic and Improved Harmony Search Based Clustering Algorithm for Wireless Sensor Networks to Prolong the Network Lifetime

Wireless sensor networks (WSNs) is a rapidly growing technology. WSNs comprises of sensor nodes having limited energy as battery powers them. These batteries cannot be changed or recharged as they are operated in a harsh environment. Energy conservation mechanism should be developed. Through study, it is found that clustering is an approach for achieving energy efficiency. In this type of protocols, cluster heads (CH) are chosen among the sensor nodes and then clusters are formed by assigning non-cluster head to the nearest cluster head. Load balancing and the distribution of the cluster heads are the major drawbacks. To deal with the mentioned difficulties, a double optimization based on fuzzy logic approach and harmony search algorithm is proposed in this paper known as fuzzy logic and improved harmony search based clustering (FLIHSBC) algorithm. The proposed algorithm not only balances the energy consumption but also helps in maximizing the network lifetime. Simulation results proved that the proposed algorithm performs better in prolonging the lifetime of the sensor network.