A Review on Battery Life and Energy Management in HWSNs using Adaptive Energy Harvesting Techniques

Authors

  • Matthew Iyobhebhe Deaprtmnet of Electrical/Electronic Engineering, School of Engineering Technology, Federal Polytechnic Nasarawa, Nasarawa, Nigeria
  • Abdoulie Momodou. S. Tekanyi Department of Electronics and Telecommunication, Ahmadu Bello University
  • K. A. Abubilal Department of Electronics and Telecommunication, Ahmadu Bello University
  • Aliyu. D. Usman Department of Electronics and Telecommunication, Ahmadu Bello University
  • H. A. Abdulkareem Department of Electronics and Telecommunication, Ahmadu Bello University
  • Yau Isiaka Department of Electronics and Telecommunication, Ahmadu Bello University
  • E. E. Agbon Department of Electronics and Telecommunication, Ahmadu Bello University
  • Elvis Obi Department of Electronics and Telecommunication, Ahmadu Bello University
  • Chukwudi Ezugwu Deaprtmnet of Electrical/Electronic Engineering, School of Engineering Technology, Federal Polytechnic Nasarawa
  • Botson Ishaya Chollom Deaprtmnet of Electrical/Electronic Engineering, School of Engineering Technology, Federal Polytechnic Nasarawa
  • Ajayi Ore-Ofe Department of Computer Engineering, Ahmadu Bello University
  • Abubakar Umar Ahmadu Bello University, Zaria
  • Ridwan. O. Eleshin Deaprtmnet of Electrical/Electronic Engineering, School of Engineering Technology, Federal Polytechnic Nasarawa
  • Fatima Ashafa Deaprtmnet of Electrical/Electronic Engineering, School of Engineering Technology, Federal Polytechnic Nasarawa
  • Paul Thomas Muge Department of Electrical Engineering , Federal Polytechnic

DOI:

https://doi.org/10.26740/vubeta.v2i2.37897

Keywords:

Adaptive Energy Harvesting Techniques, Energy Management, Energy Consumption Models, Battery Life, Energy Efficient Protocols

Abstract

This review article scrutinizes the limitations and improvements in battery life and energy management models within HSWNs that employ adaptive energy harvesting techniques. As Wireless Sensor Networks (WSNs) advance into various implementations, including monitoring environmental parameters and smart cities, effective energy management is vital. This review paper examines the responsibility of communication protocols, precisely routing and Medium Access Control (MAC) protocols, in optimizing energy efficiency. We scrutinize existing energy-efficient schemes and their comparative performance, thereby, concentrating on their adaptability to changing energy sources. Examining these protocols, we accentuate the best techniques and potential areas for development. Furthermore, the review highlights the necessity for advanced approaches integrating energy harvesting with resilience communication frameworks to maximize network lifespan. The discoveries are targeted to lead future research and advancement in the field of WSNs, hence, providing more reliable and efficient energy management schemes for WSNs.

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2025-06-19

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M. Iyobhebhe, “A Review on Battery Life and Energy Management in HWSNs using Adaptive Energy Harvesting Techniques”, Vokasi Unesa Bull. Eng. Technol. Appl. Sci., vol. 2, no. 2, pp. 319–332, Jun. 2025.

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Vol. 2 No. 2 (2025)

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Copyright (c) 2025 Matthew Iyobhebhe, Abdoulie Momodou. S. Tekanyi, K. A. Abubilal, Aliyu. D. Usman, H. A. Abdulkareem, Yau Isiaka, E. E. Agbon, Elvis Obi, Chukwudi Ezugwu, Botson Ishaya Chollom, Ajayi Ore-Ofe, Abubakar Umar, Ridwan. O. Eleshin, Fatima Ashafa, Paul Thomas Muge

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