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p-Index From 2021 - 2026
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All Journal Journal of Renewable Energy and Smart Device
Pratama, Muhhammad Iyan Putra
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Systematic Literature Review of SEP-Based Clustering Protocols in Wireless Sensor Networks: Taxonomy, Critical Analysis, and Adaptive Multi-Parameter Framework Proposal Purnamasari, Dian Neipa; Pratama, Muhhammad Iyan Putra
Journal of Renewable Energy and Smart Device Vol. 3 No. 2 April 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/joresd.v3i2.658

Abstract

Clustering protocols derived from the Stable Election Protocol (SEP) have been extensively studied for improving energy efficiency in heterogeneous Wireless Sensor Networks (WSNs). However, existing studies remain fragmented, with inconsistent evaluation settings, non-standardized performance metrics, and limited analysis of parameter sensitivity, making cross-study comparison unreliable. This paper presents a PRISMA-guided Systematic Literature Review (SLR) of 42 primary studies published between 2021 and 2026. The review classifies SEP-based approaches into four categories: energy-based (33%), distance-aware (24%), AI-based (21%), and hybrid (21%), and critically evaluates their methodological rigor. The analysis reveals three key research gaps: lack of evaluation standardization, insufficient exploration of heterogeneity parameters, and absence of realistic deployment scenarios. To address these issues, this study proposes ADSEP (Adaptive Dynamic SEP), a three-layer conceptual framework integrating energy normalization, spatial awareness, and adaptive routing strategies. Unlike prior work, ADSEP is positioned as a structured research direction with a defined validation protocol rather than a standalone protocol. This work contributes not only a taxonomy and critical synthesis of SEP-based protocols but also establishes a principled roadmap for future research in heterogeneous WSN clustering.
Co-Authors Dian Neipa Purnamasari