Deployment method of multi-chain wireless sensor network nodes.

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Bibliographic Details
Title: Deployment method of multi-chain wireless sensor network nodes.
Authors: Xiaoling, Cheng1 (AUTHOR), Yan, Xijun1 (AUTHOR) yan_xijun@hhu.edu.cn
Source: Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.). Sep2025, Vol. 25 Issue 5, p4698-4709. 12p.
Subjects: Wireless sensor nodes, Wireless sensor networks, Energy consumption
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. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
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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. [ABSTRACT FROM AUTHOR]
ISSN:14727978
DOI:10.1177/14727978251337982