Effects of inertia weight on DPSO-based single-hop routing protocol for wireless sensor networks

Clustering process optimized by particle swarm optimizer makes for topology control and energy conservation in wireless sensor networks. The particle fitness is defined as its neighborpsilas information including location and residual energy, a novel distributed clustering approach based on discrete particle swarm optimization (DPSO) for single-hop routing protocol is developed, named as DPSOCA. The effects of inertia weight on network lifetime and energy efficiency are studied. A set of optimal cluster heads are dynamically created using elected method that DPSOCA has minimum energy dissipation, decreases the randomicity of node being cluster head, and outperforms LEACH with significantly prolonging the networks lifetime and efficiently balancing the networks energy-dissipation. The results show that a greater randomicity of inertia weight has a higher cost of performance of network lifetime to convergence iterations.