Performance Improvement of Clustered Wireless Sensor Networks Using Swarm Based Algorithm

The sensor nodes in a wireless sensor network (WSN) have limited energy resources which adversely affect the long term performance of the network. So, the current research focus has been the designing of energy efficient algorithms for WSNs to improve network lifetime. This paper proposes a distributed swarm artificial bee colony (DSABC) algorithm with a clustering evaluation model to improve the energy capability of the interference aware network. The DSABC algorithm can optimize the dynamics of the cluster heads and sensor nodes in the WSN. The proposed algorithm can minimize the energy dissipation of nodes, balance the energy consumption across nodes and improve the lifetime of the network. The proposed algorithm has fewer control parameters in its objective function compared to other algorithms, so it is simple to implement in clustered sensor network. The simulation results prove the superiority of the proposed DSABC algorithm compared to other recent algorithms in improving the energy efficiency and longevity of the network.