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文章摘要
基于改进EEUC算法的智能变电站无线传感器网络路由策略研究
Research on routing strategy of wireless sensor network in intelligent substation based on improved EEUC algorithm
Received:March 20, 2023  Revised:April 14, 2023
DOI:j.issn1001-1390.2025.07.012
中文关键词: 无线传感器网络  路由策略  智能变电站  监控系统  非均匀分簇算法  动态簇半径
英文关键词: wireless sensor network, routing strategy, intelligent substation, monitoring system, non-uniform clustering algorithm, dynamic cluster radius
基金项目:云南电网有限责任公司内部基金:基于WAPI验证技术的变电站无线MESH安全接入技术研究(YNKJXM20210132) 中国南方电网有限责任公司科技项目:配电网网格化统筹规划技术研究(编号:067600KK52170005)
Author NameAffiliationE-mail
LIU Yuming Yunnan Electric Power Dispatching and Control Center 326568441@qq.com 
CUI Chen* Yunnan Electric Power Dispatching and Control Center 363962953@qq.com 
SUN Yanzhi Yunnan Electric Power Dispatching and Control Center 326568441@qq.com 
LI Xu Yunnan Electric Power Dispatching and Control Center 326568441@qq.com 
TIAN Feng Yunnan Electric Power Dispatching and Control Center 326568441@qq.com 
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中文摘要:
      针对智能变电站无线传感器网络路由策略中节点能耗分布不均匀等问题,在智能变电站辅助设备监控系统的基础上,提出了一种基于动态聚类半径优化的非均匀聚类算法用于智能变电站无线传感网络路由。从两个方面(剩余能量和空间位置)选择簇首节点,使其分布更加均匀,并通过动态竞争半径平衡簇首节点的能耗。通过仿真对其性能进行对比分析,验证了所提方法的可行性。结果表明,与常规的路由算法相比,所提方法可以较好地平衡网络能耗,并在簇首节点能耗、平均节点能耗、网络生命周期和吞吐量几个方面均有一定的提升,具有一定的应用价值。
英文摘要:
      Aiming at the problem of uneven distribution of node energy consumption in wireless sensor network routing strategy in intelligent substation, a non-uniform clustering algorithm based on dynamic clustering radius optimization is proposed for wireless sensor network routing in intelligent substation on the basis of auxiliary equipment monitoring system in intelligent substation. The cluster head nodes are selected from two aspects (residual energy and spatial position) to make their distribution more uniform, and balance the energy consumption of cluster head nodes through dynamic competition radius. The feasibility of the proposed method is verified through comparative analysis of its performance through simulation. The results show that compared with conventional routing algorithms, the proposed method can effectively balance network energy consumption and improve cluster head node energy consumption, average node energy consumption, network lifecycle, and throughput, which has certain application value.
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