Mobility assisted localization for mission critical Wireless Sensor Network applications using hybrid area exploration approach

被引:11
作者
Nagaraju, Shamanth [1 ]
Gudino, Lucy J. [1 ]
Tripathi, Nikhil [1 ]
Sreejith, V [1 ]
Ramesha, C. K. [2 ]
机构
[1] BITS Pilani, Dept CS & IS, KK Birla Goa Campus, Zuarinagar 403726, Goa, India
[2] BITS Pilani, Dept EEE, KK Birla Goa Campus, Zuarinagar, Goa, India
关键词
Wireless sensor networks; Localization; Mobility model; Area exploration algorithm; Frontier; Max-gain;
D O I
10.1016/j.jksuci.2018.04.008
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Sensor node location information is critical in many Wireless Sensor Network (WSN) applications with random sensor node deployment. In such applications, node localization using a faster area exploration mechanism is needed to initiate precise sensing and communication. In this paper, faster area exploration approach for mobility-assisted localization scheme is proposed for mission-critical WSN applications. Each Mobile Anchor (MA) node embedded with a localization module moves in the sensor field in a coordinated manner while localizing the deployed static nodes. The proposed area exploration scheme is implemented using a hybrid of max-gain approach and cost-utility based frontier (HMF) approach. The paper addresses the issue of sparse anchor node condition during the localization process. The simulation results obtained using Cooja simulator shows that the proposed mobility-assisted localization scheme results in accurate localization with minimum delay. The proof-of-concept of the proposed scheme is demonstrated using Berkeley static nodes and custom designed MA nodes. (c) 2018 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:608 / 618
页数:11
相关论文
共 37 条
  • [1] New path planning model for mobile anchor-assisted localization in wireless sensor networks
    Alomari, Abdullah
    Comeau, Frank
    Phillips, William
    Aslam, Nauman
    [J]. WIRELESS NETWORKS, 2018, 24 (07) : 2589 - 2607
  • [2] Amundson I, 2009, LECT NOTES COMPUT SC, V5801, P235, DOI 10.1007/978-3-642-04385-7_16
  • [3] REAL-TIME OBSTACLE AVOIDANCE FOR FAST MOBILE ROBOTS
    BORENSTEIN, J
    KOREN, Y
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1989, 19 (05): : 1179 - 1187
  • [4] Coordinated multi-robot exploration
    Burgard, W
    Moors, M
    Stachniss, C
    Schneider, FE
    [J]. IEEE TRANSACTIONS ON ROBOTICS, 2005, 21 (03) : 376 - 386
  • [5] A survey of mobility models for ad hoc network research
    Camp, T
    Boleng, J
    Davies, V
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2002, 2 (05) : 483 - 502
  • [6] Localization protocols for mobile wireless sensor networks: A survey
    Chelouah, Leila
    Semchedine, Fouzi
    Bouallouche-Medjkoune, Louiza
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2018, 71 : 733 - 751
  • [7] A survey on mobility-assisted localization techniques in wireless sensor networks
    Halder, Subir
    Ghosal, Amrita
    [J]. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2016, 60 : 82 - 94
  • [8] A Disaster Management-Oriented Path Planning for Mobile Anchor Node-Based Localization in Wireless Sensor Networks
    Han, Guangjie
    Yang, Xuan
    Liu, Li
    Zhang, Wenbo
    Guizani, Mohsen
    [J]. IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, 2020, 8 (01) : 115 - 125
  • [9] A Survey on Mobile Anchor Node Assisted Localization in Wireless Sensor Networks
    Han, Guangjie
    Jiang, Jinfang
    Zhang, Chenyu
    Duong, Trung Q.
    Guizani, Mohsen
    Karagiannidis, George K.
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2016, 18 (03): : 2220 - 2243
  • [10] Path planning using a mobile anchor node based on trilateration in wireless sensor networks
    Han, Guangjie
    Xu, Huihui
    Jiang, Jinfang
    Shu, Lei
    Hara, Takahiro
    Nishio, Shojiro
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2013, 13 (14) : 1324 - 1336