Clustering in WSNs based on Artificial Fish Swarming Algorithm
Djamila Mechta, Saad Harous · 2019
Clustering is one of the effective techniques to conserve energy in wireless sensor networks (WSNs). Its main objective is to organize the network into clusters, and selects a leader (for each cluster) defined as cluster-head (CH). This CH is responsible to aggregate data sensed by its members and send it to the base station (BS). In this work we study the problem of energy consumption and extending the life of WSNs by proposing a new hierarchical clustering protocol C-AFSA based on behaviors: swarm, prey, follow of Artificial Fish Swarm Algorithm (AFSA) for selecting optimal CHs and forming clusters. Performance of our algorithm is compared to the protocol LEACH-C through a series of simulation using the network simulator NS2.