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题名: Monitoring power transmission lines using a wireless sensor network
作者: Lin JR(林俊如); Zhu BH(朱宝晖); Zeng P(曾鹏); Liang W(梁炜); Yu HB(于海斌); Xiao Y(肖杨)
作者部门: 工业控制网络与系统研究室
关键词: Clustering algorithms ; Electric lines ; Electric network topology ; Energy efficiency ; Energy utilization ; Medium access control ; Network management ; Power transmission ; Transmission line theory ; Voltage measurement
刊名: Wireless Communications and Mobile Computing
ISSN号: 1530-8669
出版日期: 2015
卷号: 15, 期号:14, 页码:1799-1821
收录类别: SCI ; EI
产权排序: 1
摘要: Power transmission is the bulk transfer of electrical energy from power plants to sub-stations. A wireless sensor network is a promising technology for transmission line monitoring due to its low cost, easy installation, large-scale coverage, and fault tolerance characteristics. A wireless sensor network is application-specific; therefore, we investigate the new features and requirements of the wireless sensor network used in transmission line monitoring. Then, we propose an efficient wireless sensor network framework, which includes a clustering algorithm to simplify network management and to balance the network's energy consumption and a hybrid media access control (MAC) (H-MAC) protocol to handle traffic variability. The framework takes advantage of the features of network topology and traffic pattern to optimize the protocols' performance on real time and energy efficiency. The results indicate that the H-MAC shows a significant improvement in the network's reliability, real-time performance, and energy efficiency, and the cluster hierarchy can balance the network's energy consumption. Furthermore, the cluster hierarchy also prolongs the network's lifetime.
语种: 英语
WOS记录号: WOS:000360810600003
WOS标题词: Science & Technology ; Technology
类目[WOS]: Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
关键词[WOS]: LOCALIZATION ALGORITHM ; ENERGY-CONSUMPTION ; SMART GRIDS ; FAIR-ACCESS ; PROTOCOL ; SYNCHRONIZATION ; NODE ; IDENTIFICATION ; ARCHITECTURE ; DESIGN
研究领域[WOS]: Computer Science ; Engineering ; Telecommunications
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/14646
Appears in Collections:工业控制网络与系统研究室_期刊论文

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