Welcome to Journal of Beijing Institute of Technology
Volume 30Issue zk
Jun. 2021
Turn off MathJax
Article Contents
Shenghua Fu, Wenzhong Lou, Jingkui Wang, Tong’an Ji, Weitong Liu. Multi-barycenter Nodes Localization Method in Wireless Sensor Network Based on Improved RSSI[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2021, 30(zk): 210-217. doi: 10.15918/j.jbit1004-0579.20054
Citation: Shenghua Fu, Wenzhong Lou, Jingkui Wang, Tong’an Ji, Weitong Liu. Multi-barycenter Nodes Localization Method in Wireless Sensor Network Based on Improved RSSI[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2021, 30(zk): 210-217.doi:10.15918/j.jbit1004-0579.20054

Multi-barycenter Nodes Localization Method in Wireless Sensor Network Based on Improved RSSI

doi:10.15918/j.jbit1004-0579.20054
Funds:the National Basic Research Project of China (201820246157)
More Information
  • Corresponding author:Ph.D. E-mail:18811562916@163.com
  • Received Date:2020-06-10
  • Publish Date:2021-06-30
  • In order to improve the accuracy of nodes in wireless sensor networks (WSNs). An multi-barycenter localization algorithm based on improved received signal strength indication (RSSI) ranging is proposed. The algorithm first optimizes the RSSI values by the iterative filtering, the distance values of WSNs nodes could be more accurately calculated. And then a multi-barycenter algorithm is introduced to optimize the trilateral localization. The simulation results show that the algorithm can improve the positioning accuracy by 30% compared with the traditional trilateral localization algorithm. Finally, through the localization test of 5 WSN nodes, the measured localization deviation of the WSN nodes is controlled at about 2 m when the distance of sensor node is 80 m. The proposed method could improve localization accuracy effectively without increasing computing resources.
  • loading
  • [1]
    Yick J, Mukherjee B, Ghosal D. Wireless sensor network survey [J]. Computer Networks, 2008, 52: 2292−2330. doi:10.1016/j.comnet.2008.04.002
    [2]
    Vaishali R Kulkarni, Veena Desai, Raghavendra V Kulkarni. A comparative investigation of deterministic and metaheuristic algorithms for node localization in wireless sensor networks [J]. Wireless Networks, 2019, 25: 2789−2803. doi:10.1007/s11276-019-01994-9
    [3]
    Patwari N, Ash J N, Kyperountas S, et al. Locating the nodes: Cooperative localization in wireless sensor networks [J]. IEEE Signal Processing Magazine, 2005, 22(4): 54−69. doi:10.1109/MSP.2005.1458287
    [4]
    Alrajeh N A, Bashir M, Shams B. Localization techniques in wireless sensor networks [J]. International Journal of Distributed Sensor Networks, 2013, 9(6): 304628. doi:10.1155/2013/304628
    [5]
    Aspnes J, Eren T, Goldenberg D K, et al. A theory of network localization [J]. IEEE Transactions on Mobile Computing, 2006, 5(12): 1663−1678. doi:10.1109/TMC.2006.174
    [6]
    Jyoti Kashniyal, Shekhar Verma, Krishna Pratap Singh. A new patch and stitch algorithm for localization in wireless sensor networks [J]. Wireless Networks, 2019, 25: 3251−3264. doi:10.1007/s11276-018-1719-y
    [7]
    Mao G, Fidan B. Sensor network localization[M]. Mahalik N P. Sensor networks and configuration: fundamentals, techniques, platforms and applications. Berlin: Springer, 2007: 281-315.
    [8]
    Karnik J, Streit J. Summary of available indoor location techniques [J]. IFAC-Papers on Line, 2016, 49(25): 311−317. doi:10.1016/j.ifacol.2016.12.055
    [9]
    Cazzorla A, Angelis G D, Moschitta A, et al. A 5.6-GHz UWB position measurement system [J]. IEEE Trans Instrum Meas, 2013, 62(3): 675−683. doi:10.1109/TIM.2012.2219139
    [10]
    Laoudias C, Panayiotou C G, Kemppi P. On the RBF-based localization using WLAN signal strength fingerprints[C]// Proc 7th Workshop Localization, Navigat Commun, 2010: 93-98.
    [11]
    Phan A V, Nguyen M L, Bui L T. Feature weighting and SVM parameters optimization based on genetic algorithms for classification problems [J]. J Appl Intell, 2017, 46(2): 455−469. doi:10.1007/s10489-016-0843-6
    [12]
    Brida P, Machaj J, Benikovsky J, et al. A new complex angle of arrival location method for ad hoc networks[C]// Proc 7th Workshop Localization, Navigat Commun, 2010: 284–290.
    [13]
    Lü Y, Liu J, Yang T. Nonlinear PLS integrated with error-based LSSVM and its application to NO xmodeling [J]. Ind Eng Chem Res, 2012, 51(49): 16092−16100. doi:10.1021/ie3005379
    [14]
    Yu Z Z, Guo G Z. Improvement of localization technology based on RSSI in ZigBee networks [J]. Wireless Pers Commun, 2017, 95(3): 1943−1962. doi:10.1007/s11277-016-3860-1
    [15]
    Wang H. Implementation of RSSI-based localization algorithm in wireless sensor network [J]. Beijing Univ Posts Telecommun, 2010, 8: 26−27.
    [16]
    Wang Wei, Liu Xuming, Li Maozhen, et al. Optimizing node localization in wireless sensor networks based on received signal strength indicator[C]// IEEE Access, 2019: 73880-73889.
    [17]
    Theodore S Rappaport. Principles and applications of wireless communication[M]. Beijing: Publishing House of Electronics Industry, 2006: 50-53.
    [18]
    Ian F Akyildiz, Mehmet Can Vuran. Wireless sensor networks[M]. Beijing: Publishing House of Electronics Industry, 2013: 229-234.
  • 加载中

Catalog

    通讯作者:陈斌, bchen63@163.com
    • 1.

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(15)/Tables(2)

    Article Metrics

    Article views (371) PDF downloads(20) Cited by()
    Proportional views
    Related

    /

    Return
    Return
      Baidu
      map