Hybrid shuffled frog leaping and improved biogeography-based optimization algorithm for energy stability and network lifetime maximization in wireless sensor networks
energy stability; improved biogeography-based optimization algorithm (IBBOA); network lifetime; shuffled frog leaping algorithm; wireless sensor networks (WSNs)
Wireless sensor networks are significantly used for data sensing and aggregating dusts from a remote area environment in order to utilize them in a diversified number of engineering applications. The data transfer among the sensor nodes is attained through the inclusion of energy efficient routing protocols. These energy efficient routing necessitates optimal cluster head selection procedure for handling the challenge of energy consumption to extend the stability and lifetime in the sensor networks. The implementation of energy efficient routing is still complicated even when the process of clustering is enhanced through the cluster head selection. The majority of the existing cluster head selection schemes suffer from the issues of poor selection accuracy, increased computation, and duplicate nodes' selection. In this paper, hybrid shuffled frog leaping and improved biogeography-based optimization algorithm (HSFLBOA) for optimal cluster head selection is proposed for resolving issues that are common in cluster head selection schemes. This proposed HSFLBOA used the objective function that used the parameters of node energy, data packet transmission delay, cluster traffic density, and internode distance in the cluster. The simulation results of the proposed HSFLBOA is determined to be significant in achieving superior throughput and network energy compared to benchmarked metaheuristic optimal cluster head schemes. 2021 John Wiley & Sons Ltd.
Tamilarasan N.; Lenin S.B.; Jayapandian N.; Subramanian P.
International Journal of Communication Systems, Vol-34, No. 4
https://doi.org/10.1002/dac.4722 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099228351&doi=10.1002%2fdac.4722&partnerID=40&md5=f37574f1ba83124e8be6c4f6286f948b
Tamilarasan N., Department of ECE, Sri Indu College of Engineering and Technology, Hyderabad, India; Lenin S.B., Department of ECE, Sri Manakula Vinayagar Engineering College, Puducherry, India; Jayapandian N., Department of Computer Science & Engineering, Christ University, Bengaluru, India; Subramanian P., Department of CSE, Sri Indu College of Engineering and Technology, Hyderabad, India