Improved Energy Efficient Anytime Optimistic Algorithm for PEGASIS to Extend Network Lifetime in Homogeneous and Heterogeneous Networks

This study introduces an enhanced version of the PEGASIS algorithm, termed the improved energy efficient anytime optimistic (IEE AO) protocol, designed to improve energy efficiency in wireless sensor networks (WSNs). The primary goals are to optimize chain formation, balance energy consumption, and extend the network’s lifespan. The proposed IEE AO algorithm is compared with several existing models, including low energy adaptive clustering hierarchy (LEACH), stable election protocol (SEP), ant colony optimization (ANT), and anytime optimistic (AO) algorithms, under both MAX energy and sequential energy criteria. Simulations conducted across different node densities and chain formation techniques reveal that IEE AO significantly outperforms state-of-the-art algorithms. Specifically, the sequential IEE AO achieves the best performance in terms of network scalability, stability, lifetime, and packet throughput to the base station (BS), requiring only 20 iterations. Among MAX-based algorithms, MAX IEE AO surpasses AO and ANT-based PEGASIS, which require over 200 iterations. The results highlight the effectiveness of the IEE AO algorithm in enhancing energy efficiency, extending network lifetime, improving node retention, and optimizing chain lengths with minimal iterations, making it a suitable solution for both homogeneous and heterogeneous WSNs. The proposed algorithm demonstrates a 40% improvement across all evaluated features compared to existing algorithms.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3582798
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
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article

Improved Energy Efficient Anytime Optimistic Algorithm for PEGASIS to Extend Network Lifetime in Homogeneous and Heterogeneous Networks

Tadele A. Abose, Diriba C. Kejela, Samuel T. Daka, Venumadhav Tekulapally et al.
1 links
IEEE Access
Energy Efficient Wireless Sensor Networks
article

Improved Energy Efficient Anytime Optimistic Algorithm for PEGASIS to Extend Network Lifetime in Homogeneous and Heterogeneous Networks

Tadele A. Abose, Diriba C. Kejela, Samuel T. Daka, Venumadhav Tekulapally, Alemayehu E. Duguma, Desalegn T. Degaga
article en

Abstract

This study introduces an enhanced version of the PEGASIS algorithm, termed the improved energy efficient anytime optimistic (IEE AO) protocol, designed to improve energy efficiency in wireless sensor networks (WSNs). The primary goals are to optimize chain formation, balance energy consumption, and extend the network’s lifespan. The proposed IEE AO algorithm is compared with several existing models, including low energy adaptive clustering hierarchy (LEACH), stable election protocol (SEP), ant colony optimization (ANT), and anytime optimistic (AO) algorithms, under both MAX energy and sequential energy criteria. Simulations conducted across different node densities and chain formation techniques reveal that IEE AO significantly outperforms state-of-the-art algorithms. Specifically, the sequential IEE AO achieves the best performance in terms of network scalability, stability, lifetime, and packet throughput to the base station (BS), requiring only 20 iterations. Among MAX-based algorithms, MAX IEE AO surpasses AO and ANT-based PEGASIS, which require over 200 iterations. The results highlight the effectiveness of the IEE AO algorithm in enhancing energy efficiency, extending network lifetime, improving node retention, and optimizing chain lengths with minimal iterations, making it a suitable solution for both homogeneous and heterogeneous WSNs. The proposed algorithm demonstrates a 40% improvement across all evaluated features compared to existing algorithms.

IEEE AccessVol. 13
Mahaveer Academy of Technology and Science University (IN), Ethiopian Civil Service University (ET), Mattu University
Affordable and clean energy
Openalex Percentile: Top 84%
Energy Efficient Wireless Sensor Networks
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Improved Energy Efficient Anytime Optimistic Algorithm for PEGASIS to Extend Network Lifetime in Homogeneous and Heterogeneous Networks — Tadele A. Abose, Diriba C. Kejela, et al. · IEEE Access (2025) | TGRS Research Map | TGRS