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Home > Archives > Volume 20, No 8 (2022) > Article

DOI: 10.14704/nq.2022.20.8.NQ44435

CORRELATED RECONSTRUCTION OF CLUSTERS IN MOBILE WSNUSING SOFT COMPUTING TECHNIQUES

Dr.M.Sudha, S.Satheeshkumar ,S.Rajkumar ,M.Paveenraj

Abstract

WSN is a wireless sensor network that contains distributed self-governing devices spatially using sensors to monitor all environmental and physical conditions. Due to energy consumption among nodes, WSN has challenges with better utilization of energy and system enhancement. Cluster Algorithm is employed to prolong network lifetime and balance energy consumption. Many designers and researchers focus on architecture and algorithm that allow energy efficient operation of WSN. Therefore, we proposed an energy efficient routing using hybridization of Glowworm Swarm Optimization (GSO) and Cuckoo Search Algorithm (CSA) with fuzzy inference system. Glowworm Swarm Optimization (GSO) algorithm can efficiently capture all the maximum multimodal function. GSO algorithm was used simultaneously to find solutions of multimodal function optimization problem in various fields in the recent industry such as network, robotic, science and engineering.

Keywords

Energy consumption, Network Life time , Cuckoo Search Algorithm , Cluster Head

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