TY - EJOU AU - Kumar, C. Ram AU - Krishna, K. Murali AU - Alam, Mohammad Shabbir AU - Vigneshwaran, K. AU - Kannan, Sridharan AU - Bharatiraja, C. TI - A Novel Approach Based on Hybrid Algorithm for Energy Efficient Cluster Head Identification in Wireless Sensor Networks T2 - Computer Systems Science and Engineering PY - 2022 VL - 43 IS - 1 SN - AB - The Wireless Sensor Networks (WSN) is a self-organizing network with random deployment of wireless nodes that connects each other for effective monitoring and data transmission. The clustering technique employed to group the collection of nodes for data transmission and each node is assigned with a cluster head. The major concern with the identification of the cluster head is the consideration of energy consumption and hence this paper proposes an hybrid model which forms an energy efficient cluster head in the Wireless Sensor Network. The proposed model is a hybridization of Glowworm Swarm Optimization (GSO) and Artificial Bee Colony (ABC) algorithm for the better identification of cluster head. The performance of the proposed model is compared with the existing techniques and an energy analysis is performed and is proved to be more efficient than the existing model with normalized energy of 5.35% better value and reduction of time complexity upto 1.46%. Above all, the proposed model is 16% ahead of alive node count when compared with the existing methodologies. KW - Wireless sensor network; cluster; cluster head; hybrid model; glowworm swarm optimization; artificial bee colony algorithm; energy consumption DO - 10.32604/csse.2022.023477