E-ISSN 3115-5057 | ISSN 3115-5049
 
2025, Vol: 2, Issue: 2
2 / 2Current Issue Online FirstArchiveAims and ScopeAbstracting & Indexing

Review Article
Online Published: 02 Oct 2025
 


Integrating Wireless Sensor Networks and IoT for Intelligent Power Line Monitoring: A Theoretical Review of the Power Line Monitoring Systems Framework

Bala Alhaji Salihu, Abdlkadir Olayinka Abdulbaki, Stephen Seyi Oyewobi, Suleiman Zubair, Attahiru Muhammad Jibril.


Abstract
The persistent challenges of fault detection, downtime, and infrastructure vulnerability in sub-Saharan Africa's power grids necessitate a shift toward intelligent, distributed monitoring systems. This theoretical review investigates the foundational models and frameworks underpinning the Distributed Power Line Monitoring System (PoLiMoS), with a specific focus on enhancing fault detection, predictive maintenance, and operational resilience in sub-Saharan Africa's power grids, a wireless sensor and IoT-based platform designed for predictive maintenance and real-time monitoring of overhead power lines. It explores critical domains including Wireless Sensor Networks (WSNs), Internet of Things (IoT) architectures, predictive maintenance, smart grid reliability engineering, human–machine interaction, edge computing, and energy harvesting, to evaluate the feasibility of a decentralised, solar-powered, and cloud-integrated monitoring framework. The study critically evaluates each theoretical model’s strengths, limitations, and applicability within the PoLiMoS context, especially in rural or resource-constrained environments. Findings reveal that while robust theoretical support exists for decentralised sensing, cloud analytics, and edge intelligence, practical deployment demands adaptations in energy management, environmental resilience, and cybersecurity. Lightweight predictive models such as Bayesian Linear Regression are identified as more suitable for real-time edge processing in PoLiMoS compared to computationally intensive deep learning alternatives. Furthermore, the system's reliance on solar-powered sensor nodes and rugged hardware enclosures aligns with environmental adaptation theory for deployment in harsh climates. This review not only validates PoLiMoS’ multidisciplinary foundation but also highlights critical gaps in existing frameworks particularly in long-term reliability, cost-efficiency, and contextual scalability, paving the way for future hybrid architectures tailored to developing regions.

Key words: Edge Computing, Internet of Things (IoT), Predictive Maintenance, Smart Grid, Wireless Sensor Networks (WSNs), Power Line Monitoring System (PoLiMoS).


 
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How to Cite this Article
Pubmed Style

Salihu BA, Abdulbaki AO, Oyewobi SS, Zubair S, Jibril AM. Integrating Wireless Sensor Networks and IoT for Intelligent Power Line Monitoring: A Theoretical Review of the Power Line Monitoring Systems Framework. CUJOSTECH. 2025; 2(2): 109-116. doi:10.5455/CUJOSTECH.251008

Web Style

Salihu BA, Abdulbaki AO, Oyewobi SS, Zubair S, Jibril AM. Integrating Wireless Sensor Networks and IoT for Intelligent Power Line Monitoring: A Theoretical Review of the Power Line Monitoring Systems Framework. https://www.cujostech.com.ng/?mno=267998 [Access: June 26, 2026]. doi:10.5455/CUJOSTECH.251008

AMA (American Medical Association) Style

Salihu BA, Abdulbaki AO, Oyewobi SS, Zubair S, Jibril AM. Integrating Wireless Sensor Networks and IoT for Intelligent Power Line Monitoring: A Theoretical Review of the Power Line Monitoring Systems Framework. CUJOSTECH. 2025; 2(2): 109-116. doi:10.5455/CUJOSTECH.251008


Vancouver/ICMJE Style

Salihu BA, Abdulbaki AO, Oyewobi SS, Zubair S, Jibril AM. Integrating Wireless Sensor Networks and IoT for Intelligent Power Line Monitoring: A Theoretical Review of the Power Line Monitoring Systems Framework. CUJOSTECH. (2025), [cited June 26, 2026]; 2(2): 109-116. doi:10.5455/CUJOSTECH.251008


Harvard Style

Salihu, B. A., Abdulbaki, . A. O., Oyewobi, . S. S., Zubair, . S. & Jibril, . A. M. (2025) Integrating Wireless Sensor Networks and IoT for Intelligent Power Line Monitoring: A Theoretical Review of the Power Line Monitoring Systems Framework. CUJOSTECH, 2 (2), 109-116. doi:10.5455/CUJOSTECH.251008


Turabian Style

Salihu, Bala Alhaji, Abdlkadir Olayinka Abdulbaki, Stephen Seyi Oyewobi, Suleiman Zubair, and Attahiru Muhammad Jibril. 2025. Integrating Wireless Sensor Networks and IoT for Intelligent Power Line Monitoring: A Theoretical Review of the Power Line Monitoring Systems Framework. Confluence University Journal of Science and Technology, 2 (2), 109-116. doi:10.5455/CUJOSTECH.251008


Chicago Style

Salihu, Bala Alhaji, Abdlkadir Olayinka Abdulbaki, Stephen Seyi Oyewobi, Suleiman Zubair, and Attahiru Muhammad Jibril. "Integrating Wireless Sensor Networks and IoT for Intelligent Power Line Monitoring: A Theoretical Review of the Power Line Monitoring Systems Framework." Confluence University Journal of Science and Technology 2 (2025), 109-116. doi:10.5455/CUJOSTECH.251008


MLA (The Modern Language Association) Style

Salihu, Bala Alhaji, Abdlkadir Olayinka Abdulbaki, Stephen Seyi Oyewobi, Suleiman Zubair, and Attahiru Muhammad Jibril. "Integrating Wireless Sensor Networks and IoT for Intelligent Power Line Monitoring: A Theoretical Review of the Power Line Monitoring Systems Framework." Confluence University Journal of Science and Technology 2.2 (2025), 109-116. Print. doi:10.5455/CUJOSTECH.251008


APA (American Psychological Association) Style

Salihu, B. A., Abdulbaki, . A. O., Oyewobi, . S. S., Zubair, . S. & Jibril, . A. M. (2025) Integrating Wireless Sensor Networks and IoT for Intelligent Power Line Monitoring: A Theoretical Review of the Power Line Monitoring Systems Framework. Confluence University Journal of Science and Technology, 2 (2), 109-116. doi:10.5455/CUJOSTECH.251008


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