Target Detection for Wireless Sensor Networks in Smart Grid

被引:0
|
作者
Wang, Yan [1 ]
Wang, Xiaoling [1 ]
Wang, Hongmei [2 ]
机构
[1] State Grid China Technol Coll, Tai An 271000, Shandong, Peoples R China
[2] Jining Power Supply Co, Shandong Elect Power Co, Jining 272000, Shandon, Peoples R China
关键词
wirelesssensor network; target detection; data reconstruction; compression sensing; COMMUNICATION;
D O I
10.1109/ICSCSE.2016.44
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Wireless sensor network has been widely applied in advanced measurement system of smart grid. In order to effectively monitor the signal target wireless sensor network, this paper proposes a target location algorithm combined with the cluster routing algorithm and compressed sensing (CS). In this algorithm, the routing algorithm is adopted to cluster the network nodes in the cluster head node for concentrating the information to the cluster head. Multi hop routing is applied for the communication between the cluster head node and sink node in the optimized topology of wireless sensor network-. The gradient projection method is used for the data source recovery cluster head and the - target signal location. This algorithm can effectively reconstruct the signal and accurately detect the target location, meanwhile, it can effectively reduce the computational complexity. Simulation results are presented to show the effectiveness of the proposed algorithm.
引用
收藏
页码:161 / 164
页数:4
相关论文
共 50 条
  • [1] A survey on wireless sensor networks for smart grid
    Fadel, Etimad
    Gungor, V. C.
    Nassef, Laila
    Akkari, Nadine
    Maik, M. G. Abbas
    Almasri, Suleiman
    Akyildiz, Ian F.
    [J]. COMPUTER COMMUNICATIONS, 2015, 71 : 22 - 33
  • [2] Application of wireless sensor networks in smart grid
    Wang, Yang-Guang
    Yin, Xiang-Gen
    You, Da-Hai
    [J]. Dianwang Jishu/Power System Technology, 2010, 34 (05): : 7 - 11
  • [3] Opportunities and Challenges of Wireless Sensor Networks in Smart Grid
    Gungor, Vehbi C.
    Lu, Bin
    Hancke, Gerhard P.
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2010, 57 (10) : 3557 - 3564
  • [4] Monofractal characteristics of traffic in wireless sensor networks for smart grid
    Zhai, Ming-Yue
    [J]. Sensors and Transducers, 2014, 171 (05): : 220 - 225
  • [5] Wireless Sensor Networks clustering Routing Protocol for Smart grid
    Yang, Jia
    Liu, Xiaoli
    Xu, Qiang
    Wu, Yingxu
    Sheng, Kairui
    [J]. 2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, : 1456 - 1461
  • [6] The survey of Wireless Sensor Networks information security in Smart Grid
    Tong, Weiming
    Liang, Jianquan
    Jin, Xianji
    Lu, Lei
    [J]. MATERIAL SCIENCE, CIVIL ENGINEERING AND ARCHITECTURE SCIENCE, MECHANICAL ENGINEERING AND MANUFACTURING TECHNOLOGY II, 2014, 651-653 : 1992 - 1999
  • [7] SURESENSE: SUSTAINABLE WIRELESS RECHARGEABLE SENSOR NETWORKS FOR THE SMART GRID
    Erol-Kantarci, Melike
    Mouftah, Hussein T.
    [J]. IEEE WIRELESS COMMUNICATIONS, 2012, 19 (03) : 30 - 36
  • [8] Implementation Perspectives of Wireless Sensor and Actuator Networks in Smart Grid
    Veleva, Sanja
    Davcev, Danco
    [J]. MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 : 6737 - 6741
  • [9] Distributed Lifetime Optimization of Wireless Sensor Networks in Smart Grid
    Tashtarian, Farzad
    Montazerolghaem, Ahmadreza
    Abbasi, Mahmoud
    [J]. 2018 THE 6TH IEEE INTERNATIONAL CONFERENCE ON SMART ENERGY GRID ENGINEERING (SEGE 2018), 2018, : 240 - 243
  • [10] A Smart Grid Testbed using Wireless Sensor Networks in a Building
    Kim, Kwang-Soo
    Kim, Hyunhak
    Heo, Tae-Wook
    Doh, Yoonmee
    Jun, Jong-Arm
    [J]. PROCEEDINGS OF SENSORCOMM 2011, THE FIFTH INTERNATIONAL CONFERENCE ON SENSOR TECHNOLOGIES AND APPLICATIONS, 2011, : 371 - 374