Deployment method of multi-chain wireless sensor network nodes

In order to overcome the energy “hole” problem caused by uneven energy consumption of nodes in equidistant deployment, an unequal spacing optimization deployment method is adopted to deploy a chain type wireless sensor network to balance node energy consumption and extend the network life-cycle. Furthermore, a star-chain structure multi-chain wireless sensor network node optimization deployment method is adopted to deploy a two-dimensional monitoring network; Taking into account inter chain interference, network connectivity, and node energy consumption, the optimal node spacing and hop count for each chain, as well as the optimal number of chains in circular areas, are obtained. Through MATLAB simulation, it is proven that this deployment method can effectively reduce and balance node energy consumption, and maximize the network’s life-cycle.

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Publication Details

Journal
Journal of Computational Methods in Sciences and Engineering
Published
2025-05-06
DOI
https://doi.org/10.1177/14727978251337982
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
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article

Deployment method of multi-chain wireless sensor network nodes

Xijun Yan, Xiaoling Cheng
Journal of Computational Methods in Sciences and Engineering
Energy Efficient Wireless Sensor Networks
article

Deployment method of multi-chain wireless sensor network nodes

Xijun Yan, Xiaoling Cheng
article en

Abstract

In order to overcome the energy “hole” problem caused by uneven energy consumption of nodes in equidistant deployment, an unequal spacing optimization deployment method is adopted to deploy a chain type wireless sensor network to balance node energy consumption and extend the network life-cycle. Furthermore, a star-chain structure multi-chain wireless sensor network node optimization deployment method is adopted to deploy a two-dimensional monitoring network; Taking into account inter chain interference, network connectivity, and node energy consumption, the optimal node spacing and hop count for each chain, as well as the optimal number of chains in circular areas, are obtained. Through MATLAB simulation, it is proven that this deployment method can effectively reduce and balance node energy consumption, and maximize the network’s life-cycle.

Journal of Computational Methods in Sciences and EngineeringVol. 25(5)
Jiangxi University of Water Resources and Electric Power (CN)
Affordable and clean energy
Openalex Percentile: Top 91%
Energy Efficient Wireless Sensor Networks
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Deployment method of multi-chain wireless sensor network nodes — Xijun Yan, Xiaoling Cheng · Journal of Computational Methods in Sciences and Engineering (2025) | TGRS Research Map | TGRS