Hybrid Bacteria Foraging Optimization with Cuckoo Search Algorithm for Optimal Cluster head Selection in Wireless Sensor Networks
B. Pitchaimanickam1, G. Murugaboopathi2
1B.Pitchaimanickam, Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, (Tamil Nadu), India.
2G.Murugaboopathi, Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, (Tamil Nadu), India.
Manuscript received on 23 November 2019 | Revised Manuscript received on 17 December 2019 | Manuscript Published on 30 December 2019 | PP: 87-92 | Volume-9 Issue-1S4 December 2019 | Retrieval Number: A10971291S419/19©BEIESP | DOI: 10.35940/ijeat.A1097.1291S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Wireless Sensor Networks (WSN) are operated on a battery source. The sensor nodes are required more energy for the communication and information processing and also reduced the network lifetime. An efficient clustering scheme is designed to reduce the energy utilization and prolonged the network lifetime. In this paper, a hybrid approach of Bacteria Foraging Optimization with Cuckoo Search algorithm is proposed in the LEACH-C algorithm. This proposed methodology improves the chemotaxis behavior of Bacteria Foraging Optimization by using the Cuckoo Search algorithm. The residual energy of the node and the minimum distance among the nodes are considered for selecting the optimal cluster head. The proposed methodology has been done in Network Simulator (NS-2) and the experimental results improve the network lifetime by increasing the alive nodes and minimize the energy consumption. The proposed methodology has provided 700 seconds of life duration to the nodes, which is significantly higher than the lifetime provided by any other conventional techniques.
Keywords: Bacteria Foraging Optimization, Cuckoo Search Algorithm, Network Lifetime, Wireless Sensor Networks.
Scope of the Article: Wireless ad hoc & Sensor Networks