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Energy efficient clustering protocol for WSNs based on bio-inspired ICHB algorithm and fuzzy logic system

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Abstract

This paper explores the capabilities of Intelligent cluster head selection based on bacterial foraging optimization (ICHB) algorithm and fuzzy logic system (FLS) for searching better cluster head (CH) nodes without using any randomized algorithms in the network. ICHB-HEED is one of the recent clustering based protocol in the field of wireless sensor networks (WSNs). In this paper, the clustering procedures of ICHB-HEED is further improved by applying the combination of ICHB algorithm and FLS system based on residual energy, node density and distance to base station (BS) parameters which results in ICHB-Fuzzy Logic based HEED (ICFL-HEED) protocol. It alleviates the formation of holes and hot-spots in the network, delays the death of sensor nodes (SNs), minimizes the energy consumption of SNs, forms even-sized clusters and extends the network lifetime competently. The proposed ICFL-HEED protocol is compared with existing HEED & ICHB-HEED protocols and observed that the performance of ICFL-HEED is far better than these protocols.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Dr B R Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Prateek Gupta

  2. I. K. Gujral Punjab Technical University, Jalandhar, India

    Ajay K. Sharma

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  1. Prateek Gupta
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  2. Ajay K. Sharma
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Correspondence to Prateek Gupta.

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Gupta, P., Sharma, A.K. Energy efficient clustering protocol for WSNs based on bio-inspired ICHB algorithm and fuzzy logic system. Evolving Systems 10, 659–677 (2019). https://doi.org/10.1007/s12530-018-9254-8

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  • DOI: https://doi.org/10.1007/s12530-018-9254-8

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