An efficient distributed localisation algorithm for wireless sensor networks: based on smart reference-selection method

被引:38
|
作者
Abu-Mahfouz, Adnan M. [1 ]
Hancke, Gerhard P. [2 ,3 ]
机构
[1] Univ Pretoria, Adv Sensor Networks Res Grp, CSIR Meraka Inst, ZA-0002 Pretoria, South Africa
[2] Univ London, Informat Secur Grp, London WC1E 7HU, England
[3] Univ Pretoria, ZA-0002 Pretoria, South Africa
关键词
ALWadHA; position estimation; wireless sensor networks; smart reference-selection; subset-references; distributed algorithm; sensor nodes location; successive-refinement; localisation systems;
D O I
10.1504/IJSNET.2013.053718
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Determining the location of nodes is a key part of wireless sensor networks (WSNs). Many WSN applications require knowledge of nodes' locations to perform their functions successfully. Several localisation algorithms rely on using all or most of the available references to enhance their performance. However, to implement an efficient localisation algorithm for WSNs one should reconsider this assumption. This paper introduces an efficient localisation algorithm that is based on a novel smart reference-selection method. This method chooses only those references that would increase the overall localisation accuracy, and it also minimises the number of iterations needed to refine the accuracy of the estimated position. Simulation results confirm that, compared to existing approaches, the proposed reference selection technique and associated localisation algorithm achieves both reliable and accurate position estimate using a minimal number of references. This decreases the computational burden of gathering and analysing location data from the high number of references previously believed to be necessary.
引用
收藏
页码:94 / 111
页数:18
相关论文
共 50 条
  • [1] A distributed fuzzy logic-based root selection algorithm for wireless sensor networks
    Alaybeyoglu, Aysegul
    COMPUTERS & ELECTRICAL ENGINEERING, 2015, 41 : 216 - 225
  • [2] Wireless Sensor Networks and Efficient Localisation
    Kirci, Nar
    Chaouchi, Hakima
    Laouiti, Anis
    2014 INTERNATIONAL CONFERENCE ON FUTURE INTERNET OF THINGS AND CLOUD (FICLOUD), 2014, : 98 - 100
  • [3] An efficient distributed max-flow algorithm for Wireless Sensor Networks
    Homayounnejad, Saman
    Bagheri, Alireza
    JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2015, 54 : 20 - 32
  • [4] Accurate Distributed Range-Based Positioning Algorithm for Wireless Sensor Networks
    Chan, Frankie K. W.
    So, H. C.
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2009, 57 (10) : 4100 - 4105
  • [5] Distributed Energy Efficient Clustering Algorithm for Wireless Sensor Networks
    Arunraja, Muruganantham
    Malathi, Veluchamy
    Sakthivel, Erulappan
    INFORMACIJE MIDEM-JOURNAL OF MICROELECTRONICS ELECTRONIC COMPONENTS AND MATERIALS, 2015, 45 (03): : 180 - 187
  • [6] Efficient Distributed Data Collecting Algorithm in Wireless Sensor Networks
    Zhu, Rongbo
    Shang, Yueyun
    MINES 2009: FIRST INTERNATIONAL CONFERENCE ON MULTIMEDIA INFORMATION NETWORKING AND SECURITY, VOL 1, PROCEEDINGS, 2009, : 249 - 253
  • [7] An efficient distributed algorithm for target-coverage preservation in wireless sensor networks
    Nguyen, Tri Gia
    Phan, Trung V.
    Nguyen, Hai Hoang
    Aimtongkham, Phet
    So-In, Chakchai
    PEER-TO-PEER NETWORKING AND APPLICATIONS, 2021, 14 (02) : 453 - 466
  • [8] An efficient distributed algorithm for target-coverage preservation in wireless sensor networks
    Tri Gia Nguyen
    Trung V. Phan
    Hai Hoang Nguyen
    Phet Aimtongkham
    Chakchai So-In
    Peer-to-Peer Networking and Applications, 2021, 14 : 453 - 466
  • [9] Efficient RSS-based collaborative localisation in wireless sensor networks
    Alhasanat, A.
    Sharif, B.
    Tsimenidis, C.
    Neasham, J.
    INTERNATIONAL JOURNAL OF SENSOR NETWORKS, 2016, 22 (01) : 27 - 36
  • [10] EGL: efficient geometry-based localisation in wireless sensor networks
    Sayyed, Ali
    de Araujo, Gustavo Medeiros
    Becker, Leandro Buss
    INTERNATIONAL JOURNAL OF SENSOR NETWORKS, 2017, 25 (04) : 218 - 228