Timeline Cluster Formation Algorithm with Hybrid Optimization for Wireless Sensor Networks

Clustering approach is a widely used technique in wireless sensor networks to exchange information between various nodes, for enhancing the performance and energy efficiency. In this paper, a Timeline approach for energy efficient cluster formation with Hybrid Optimization encompassing Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) is proposed. Timeline Cluster formation Algorithm (TLCA) incorporates multi-individual metrics in cluster formation and energy efficient optimization technique for multiple sensor nodes. The proposed technique is to implement time based elemental approach for each protocol in which each node makes information based on local and global decisions. The performance of the proposed method is compared with other clustering protocols with respect to energy level consumed and network life time. The elicit of the proposed technique is demonstrated with simulation results. The simulation results show that TLCA can produce time based network topology and reduce network cluster size.