F-MPSO: a hybrid metaheuristic approach based on the manifold distance for energy efficient-clustering in WSN

Abstract

Abstract This paper proposes an enhanced algorithm, called F-MPSO, for clustering to increase the lifetime of wireless sensor networks. Optimization for cluster head selection is a Non-Deterministic Polynomial (NP)-hard problem. The hybrid metaheuristic approach based on manifold distance has been introduced to cluster the sensor nodes. Our proposed method will enhance life because the Firefly approach is widely used for local updates, and the PSO approach is used for global updates and makes a reliable cluster. Wireless sensor networks aim to increase the entire network's lifetime. So, we propose a manifold-based metric to prefer the paths with the intermediate sensor with high residual energy to the straight distance between an ordinary node and cluster heads with low residual energy. The Matlab-based results obtained for the proposed F_MPSO algorithm and its comparison with the previous algorithm show efficient energy consumption using F_MPSO and successfully extending the network lifetime.