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May 25, 2026International Journal of Computational Intelligence SystemsOpen Access

Delay-Aware Electric Eel and Improved Aquila Algorithm-based Energy efficient Clustering with Mobile Sink for improved lifetime in WSNs

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Authors

NTN. TamilarasanSSS. SathyaRRR. Ranjani

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Overview

Randomized trial demonstrates improved lifetime in wireless sensor networks, indicating better energy management.

Key Points

  • To enhance energy efficiency in wireless sensor networks through optimized clustering and mobile sink routing techniques.
  • Proposed Electric Eel and Improved Aquila Algorithm-based Clustering and Constrained Mobile Sink Path optimization Protocol (EIACMSP).
  • Used Electric Eel Foraging Optimization Algorithm (EEFOA) for selecting Cluster Heads based on various node factors.
  • Utilized Improved Aquila Optimization Algorithm (IAQOA) to determine optimal paths for mobile sink to minimize latency and energy consumption.
  • Achieved a 24.56% enhancement in network lifetime.
  • Minimized path length by 27.65%.
  • Reduced latency by 21.28% compared to baseline energy management approaches.

Cite This Study

Tamilarasan et al. (2026) studied this question.

synapsesocial.com/papers/6a13e7a80e02ee3982d3243bhttps://doi.org/10.1007/s44196-026-01381-1
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