An adaptive node partition clustering protocol using particle swarm optimization

Wireless Sensor Networks (WSNs) are networks of autonomous nodes used for monitoring an environment, and clustering is one of the most popular and effective approach for WSNs that require scalability and robustness. In this paper, we propose and analyze an Adaptive Node Partition Clustering protocol using Particle Swarm Optimization (ANPC-PSO), a protocol that partitions the network field adaptively and selects cluster heads (CHs) consider the networks states information. The results of performance evaluation show that ANPC-PSO can improve system lifetime and data delivery by distributing energy dissipation evenly in the networks.