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Effectual Energy Optimization Stratagems for Wireless Sensor Network Collections Through Fuzzy-Based Inadequate Clustering

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Abstract

Wireless Sensor Networks (WSNs) are crucial in the burgeoning Internet of Things (IoT) landscape, serving as a backbone technology that enables myriad applications across various industries. Originating as a simple methodology, WSNs have evolved significantly, propelled by rapid advancements in sensor technology and hardware capabilities. These networks play a pivotal role in collecting and transmitting data, which is essential for the infrastructure of most IoT systems. WSNs operate by deploying sensor nodes across diverse locations to gather environmental data. This scalability and adaptability of WSNs were demonstrated in studies where network coverage was expanded to include 100 and 200 nodes. Notably, the implementation of the innovative FLECH (Fuzzy Logic Energy-efficient Clustering Hierarchy) protocol significantly enhanced energy efficiency, reducing consumption by 12.69% in networks with 100 nodes and by 36.85% in those with 200 nodes, compared to the traditional LEACH (Low-Energy Adaptive Clustering Hierarchy) protocol. This work innovatively combines fuzzy logic and Particle Swarm Optimization (PSO) for efficient Cluster Head selection in Wireless Sensor Networks. The evaluation of these protocols involved numerous simulations and communication tests to ascertain the First Node Die (FND) point—indicative of when a network begins to lose efficacy due to energy depletion. Results indicated that the LEACH protocol reached the FND point faster than FLECH, suggesting that FLECH may offer better longevity and durability for IoT applications, aligning with the needs for sustainable and efficient operation in expanding technological ecosystems.

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Data sharing is not applicable to this article as no datasets were generated or analysed during the current study.

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Authors and Affiliations

  1. Christ University, Banglore, Karanataka, India

    Kavitha S

  2. Indian Institute of Technology, Patna, India

    Deepak Dasaratha Rao

  3. School of Computer Applications, Manav Rachna International Institute of Research and Studies(MRIIRS), Faridabad, Haryana, India

    Anupriya Jain & Seema Sharma

  4. Department of Artificial Intelligence and Data Science, PES Modern College of Engineering, Shivajinagar, Pune, 411005, India

    Shraddha V. Pandit

  5. Department of Computer Science & Engineering, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, Madhya Pradesh, India

    Rajeev Pandey

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  1. Kavitha S
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Contributions

Kavitha S: Consumption and design of study, Acquisition of the data, Deepak Dasaratha Rao: Analysis and interpretation of the data, Anupriya Jain: Drafting, Formalization an editing, Seema Sharma: Review and investigation, Shraddha V. Pandit: Conceptualization, Rajeev Pandey: Investigation and analysis.

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Correspondence to Shraddha V. Pandit.

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S, K., Rao, D.D., Jain, A. et al. Effectual Energy Optimization Stratagems for Wireless Sensor Network Collections Through Fuzzy-Based Inadequate Clustering. SN COMPUT. SCI. 5, 1022 (2024). https://doi.org/10.1007/s42979-024-03377-0

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  • DOI: https://doi.org/10.1007/s42979-024-03377-0

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