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Bacterial Forging Optimization-Based Clustering Protocol for Wireless Sensor Networks

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Advances in Distributed Computing and Machine Learning

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 427))

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Abstract

The clustering technique is one of the best techniques to consume less energy of sensor nodes and enhance the life of nodes in wireless sensor networks (WSNs). In cluster-based WSNs, cluster heads (CHs) deplete maximum power than its member nodes. Hence, the selection of CHs should be optimized. In this paper, the global optimization technique bacteria forging optimization (BFO) is used for the selection of CHs and proposed an energy-efficient clustering protocol bacteria foraging optimization-based clustering protocol (BFOCP). This protocol is tested extensively on various scenarios of WSNs. The simulated results are compared with existing protocols to prove efficiency of this protocol. Finally, the proposed protocol is proved to be suitable for the improvement of lifetime of WSN nodes.

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Correspondence to Prasanta Kumar Swain .

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Dora, S.S., Swain, P.K. (2022). Bacterial Forging Optimization-Based Clustering Protocol for Wireless Sensor Networks. In: Rout, R.R., Ghosh, S.K., Jana, P.K., Tripathy, A.K., Sahoo, J.P., Li, KC. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 427. Springer, Singapore. https://doi.org/10.1007/978-981-19-1018-0_12

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