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Performance enhancement of efficient clustering and routing protocol for wireless sensor networks using improved elephant herd optimization algorithm

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Abstract

Wireless sensor networks (WSNs) currently have numerous applications, especially in tracking and observing non-human activities. Sensor nodes in WSNs are known to have limited lifespans due to continuous sensing, which causes the battery to drain quickly. Therefore, Energy consumption is a significant research issue in WSN-assisted applications. Energy conservation now places a high priority on exact clustering and the choice of the best route from the sensor nodes to the sink. This research paper proposes a fuzzy with adaptive sailfish optimizer (ASFO) for cluster head selection and improved elephant herd optimization approach to find the most efficient shortest path route to preserve energy efficiency in WSNs. The suggested hybrid approach was implemented in MATLAB and achieved results are compared to those of four widely-used techniques, such as improved artificial bee colony optimization-based clustering (IABC-C), genetic algorithms (GA), particle swarm optimization (PSO), and hierarchical clustering-based CH election (HCCHE) approach. The Fuzzy with ASFO technique improves the Quality of Service (QoS) of performance metrics such as energy usage, packet loss ratio, end-to-end delay, packet delivery ratio, network lifetime, and buffer occupancy. The results show that the suggested Fuzzy with SFO has a better packet delivery ratio (99.8%), packet latency (1.12 s), throughput (98 bps), energy usage (10.90 mJ), network lifetime (5400 cycles), and packet loss ratio (0.6%) than the existing methods (PSO, GA, IABC-C, and HCCHE algorithms).

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Data availability

The datasets generated during and/or analysed during the current study are not publicly available but are available from the corresponding author on reasonable request.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Centre for Advances in Signal Processing and Sensor Networks, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India

    S. Ramalingam & S. Dhanasekaran

  2. Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, 600089, India

    Sathya Selvaraj Sinnasamy

  3. Department of Electrical/Electronics and Computer Engineering, Afe Babalola University, Ado-Ekiti, Nigeria

    Ayodeji Olalekan Salau

  4. Saveetha School of Engineering, Saveetha Instistute of Medical and Technical Sciences, Chennai, Tamil Nadu, India

    Ayodeji Olalekan Salau

  5. Department of Electronics and Communication Engineering, K. Ramakrishnan College of Technology, Trichy, Tamil Nadu, 621 112, India

    Manjunathan Alagarsamy

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  1. S. Ramalingam
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Correspondence to Ayodeji Olalekan Salau.

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Ramalingam, S., Dhanasekaran, S., Sinnasamy, S.S. et al. Performance enhancement of efficient clustering and routing protocol for wireless sensor networks using improved elephant herd optimization algorithm. Wireless Netw (2024). https://doi.org/10.1007/s11276-023-03617-w

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