Dynamic energy-based multilayer routing framework for scalable and reliable IoT networks

The exponential growth of the Internet of Things (IoT) demands scalable, energy-efficient, and reliable data routing strategies, especially within resource-constrained Wireless Sensor Networks (WSNs). This paper introduces DEBML (Dynamic Energy-Based Multilayer Routing), a novel distributed routing framework that addresses these challenges by organizing nodes into dynamic energy-based layers. Each layer is formed by grouping nodes with similar residual energy levels, enabling the application of layer-specific routing protocols that optimize energy usage and data delivery efficiency. High-energy layers handle time-sensitive and critical transmissions using robust routing, while lower-energy layers prioritize energy conservation for routine communication. A key innovation of DEBML is its dynamic re-layering mechanism, which continuously monitors energy levels and redistributes nodes across layers to maintain load balance and adapt to changing network conditions. Extensive simulations demonstrate that DEBML significantly outperforms existing methods in terms of packet delivery ratio, end-to-end delay, network lifetime, and overall energy efficiency. The proposed framework offers a scalable, adaptive, and energy-aware solution suitable for next-generation IoT applications such as smart healthcare, industrial monitoring, and environmental sensing.

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Publication Details

Journal
Scientific Reports
Published
2026-01-08
DOI
https://doi.org/10.1038/s41598-025-32271-9
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
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article

Dynamic energy-based multilayer routing framework for scalable and reliable IoT networks

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Energy Efficient Wireless Sensor Networks
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Dynamic energy-based multilayer routing framework for scalable and reliable IoT networks

Aso Mohammed Darwesh, Hamid Barati, Ali Barati, Parisa Khoshvaght, Thantrira Porntaveetus, Mehdi Hosseinzadeh, Saqib Ali, Jan Lansky, Amir Haider
article en

Abstract

The exponential growth of the Internet of Things (IoT) demands scalable, energy-efficient, and reliable data routing strategies, especially within resource-constrained Wireless Sensor Networks (WSNs). This paper introduces DEBML (Dynamic Energy-Based Multilayer Routing), a novel distributed routing framework that addresses these challenges by organizing nodes into dynamic energy-based layers. Each layer is formed by grouping nodes with similar residual energy levels, enabling the application of layer-specific routing protocols that optimize energy usage and data delivery efficiency. High-energy layers handle time-sensitive and critical transmissions using robust routing, while lower-energy layers prioritize energy conservation for routine communication. A key innovation of DEBML is its dynamic re-layering mechanism, which continuously monitors energy levels and redistributes nodes across layers to maintain load balance and adapt to changing network conditions. Extensive simulations demonstrate that DEBML significantly outperforms existing methods in terms of packet delivery ratio, end-to-end delay, network lifetime, and overall energy efficiency. The proposed framework offers a scalable, adaptive, and energy-aware solution suitable for next-generation IoT applications such as smart healthcare, industrial monitoring, and environmental sensing.

Scientific ReportsVol. 16(1)
University of Finance and Administration (CZ), Galgotias University (IN), Chulalongkorn University (TH), Duy Tan University (VN), Sejong University (KR), Islamic Azad University, Dezful Branch (IR), Sultan Qaboos University (OM), Chitkara University (IN), Saveetha University (IN)
Openalex Percentile: Top 95%
Energy Efficient Wireless Sensor Networks
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