Abstract

Deterministic Energy-efficient Clustering protocol (DEC) is a dynamic, distributive and self-organized method to decrease the energy depletion in the network. DEC protocol promises to a better and fixed number of Cluster Heads (CH) selections based on the remaining energy in its every round. DEC has various demerits like non-consideration of intra-cluster distance, disregard of the degree of the node. To address these issues of DEC, this paper proposes Particle Swarm Optimization (PSO) based Deterministic Energy Efficient Clustering Protocol, PSO-DEC. In this work, K-means clustering is used for initially clustering on the heterogeneous network and hybrid PSO-DEC is used for CH selection. MATLAB based recreation output shows that PSO-DEC outwits on conventional DEC and improved the lifetime of the network. The performance matrices are evaluated and calculated results indicate a significant improvement over the conventional protocols.

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