FIREFLY ALGORITHM INSPIRED ENERGY AWARE UNEVEN CLUSTERING STRATEGY FOR WIRELESS SENSOR NETWORKS

Presently, in Wireless Sensor Networks (WSN), the capacity to send data through the network via a more efficient path appears to be a tactical consideration, owing to factors such as energy consumption, network lifetime, and so on. Numerous efforts have been made so far to improve network routing via the clustering technique. Clustering is an effective and efficient method to provide more direct path that delivers data without contention. Despite this, selecting a Cluster Head (CH) for a cluster is a complicated process that requires adherence to specific requirements. In this paper, a Firefly algorithm inspired energy aware uneven clustering (FAEUC) strategy for wireless sensor networks is proposed. The radius of the uneven cluster is computed using residual energy and the communication distance to the BS. The firefly optimized is used to determine the set of most appropriate nodes as the CHs. The performance of proposed FAEUC protocol is evaluated with the help of MATLAB and compared with three existing routing protocols: EAUCA, URBD and EAUCF. The comparative simulation results demonstrate that the proposed FAEUC protocol reduces the overall energy exhaustion and enhance the network operational life.