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通过共识估计和全域覆盖提高无线传感器网络的效能。

Enhancing the effectiveness of wireless sensor networks through consensus estimation and universal coverage.

作者信息

Tian Hua

机构信息

School of Intelligence & Electronic Engineering, Dalian Neusoft University of Information, Dalian, 116023, Liaoning, China.

出版信息

Sci Rep. 2025 Jul 10;15(1):24930. doi: 10.1038/s41598-025-10813-5.

DOI:10.1038/s41598-025-10813-5
PMID:40640328
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12246112/
Abstract

Wireless sensor networks (WSNs) consist of numerous sensor nodes equipped with sensing, computing, and communication capabilities, where battery power is a critical limitation. Efficient energy management is vital to ensure sustained WSN performance. This study introduces a novel approach to enhance coverage and minimize energy consumption in WSNs. The method divides the network environment into distinct regions, activating only one node per region based on its residual energy and centrality, while other nodes enter a low-energy sleep mode to conserve power. Active nodes are periodically reselected through a duty cycle to distribute energy load and prevent premature node shutdowns. To address uncovered regions, a consensus estimation algorithm uses data from neighboring active nodes, weighted by their proximity, to estimate environmental data, ensuring continuous coverage. Additionally, multi-hop routing optimizes data transmission to the base station by reducing transmission distances, further enhancing energy efficiency. Simulation results across multiple scenarios demonstrate that this approach significantly reduces energy consumption and extends network lifetime compared to existing protocols, such as LEACH, LEACH-C, and ECRM, achieving approximately 60% and 20% improvements over LEACH and ECRM, respectively. This method effectively balances coverage and energy efficiency, making it a robust solution for WSN applications.

摘要

无线传感器网络(WSN)由众多具备传感、计算和通信能力的传感器节点组成,其中电池电量是一个关键限制因素。高效的能源管理对于确保WSN的持续性能至关重要。本研究引入了一种新颖的方法来提高WSN的覆盖范围并最小化能耗。该方法将网络环境划分为不同区域,根据节点的剩余能量和中心性,每个区域仅激活一个节点,而其他节点进入低能耗睡眠模式以节省电力。通过占空比定期重新选择活跃节点,以分配能量负载并防止节点过早关闭。为了解决未覆盖区域的问题,一种共识估计算法利用来自相邻活跃节点的数据(根据其接近程度加权)来估计环境数据,确保连续覆盖。此外,多跳路由通过减少传输距离优化到基站的数据传输,进一步提高能源效率。跨多个场景的仿真结果表明,与现有协议(如LEACH、LEACH-C和ECRM)相比,该方法显著降低了能耗并延长了网络寿命,分别比LEACH和ECRM提高了约60%和20%。该方法有效地平衡了覆盖范围和能源效率,使其成为WSN应用的强大解决方案。

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