Resilient Wireless Sensor Networks Using Topology Control: A Review

被引:16
|
作者
Huang, Yuanjiang [1 ]
Martinez, Jose-Fernan [1 ]
Sendra, Juana [1 ]
Lopez, Lourdes [1 ]
机构
[1] Univ Politecn Madrid, Ctr Invest Tecnol Software & Sistemas Multimedia, Madrid 28031, Spain
关键词
wireless sensor networks; fault-tolerant; resilience; self-healing; fault tolerance; topology control; RELAY NODE PLACEMENT; MOBILE AD HOC; DISJOINT PATHS; ATTACK TOLERANCE; FAULT-DETECTION; K-CONNECTIVITY; COVERAGE; ALGORITHMS; COMMUNICATION; SURVIVABILITY;
D O I
10.3390/s151024735
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Wireless sensor networks (WSNs) may be deployed in failure-prone environments, and WSNs nodes easily fail due to unreliable wireless connections, malicious attacks and resource-constrained features. Nevertheless, if WSNs can tolerate at most losing k - 1 nodes while the rest of nodes remain connected, the network is called k - connected. k is one of the most important indicators for WSNs' self-healing capability. Following a WSN design flow, this paper surveys resilience issues from the topology control and multi-path routing point of view. This paper provides a discussion on transmission and failure models, which have an important impact on research results. Afterwards, this paper reviews theoretical results and representative topology control approaches to guarantee WSNs to be k - connected at three different network deployment stages: pre-deployment, post-deployment and re-deployment. Multi-path routing protocols are discussed, and many NP-complete or NP-hard problems regarding topology control are identified. The challenging open issues are discussed at the end. This paper can serve as a guideline to design resilient WSNs.
引用
收藏
页码:24735 / 24770
页数:36
相关论文
共 50 条
  • [31] Research on Interference and Topology Control in Wireless Sensor Networks
    Song, Tao
    INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS, PTS 1-4, 2013, 241-244 : 1033 - 1037
  • [32] A Generalized Probabilistic Topology Control for Wireless Sensor Networks
    Liu, Yunhuai
    Ni, Lionel
    IEEE INFOCOM 2009 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS, VOLS 1-5, 2009, : 2776 - 2780
  • [33] Context Aware Topology Control in Wireless Sensor Networks
    Bhajantri, Lokesh B.
    Pavithra, H. C.
    Patil, Meera
    PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON APPLIED AND THEORETICAL COMPUTING AND COMMUNICATION TECHNOLOGY (ICATCCT), 2016, : 825 - 830
  • [34] Topology control in the presence of jammers for wireless sensor networks
    Bhavathankar, Prasenjit
    Mondal, Ayan
    Misra, Sudip
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2017, 30 (13)
  • [35] Wireless Sensor Networks - A Comparative Study for Energy Minimization Using Topology Control
    Deshpande, Abhishek
    Montiel, Claudio
    McLauchlan, Lifford
    2014 SIXTH ANNUAL IEEE GREEN TECHNOLOGIES CONFERENCE (GREENTECH 2014), 2014, : 44 - 48
  • [36] Sensor-DMAC: Dynamic topology control for wireless sensor networks
    Basagni, S
    Carosi, A
    Petrioli, C
    VTC2004-FALL: 2004 IEEE 60TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-7: WIRELESS TECHNOLOGIES FOR GLOBAL SECURITY, 2004, : 2930 - 2935
  • [37] On the Topology of Wireless Sensor Networks
    Yang, Sen
    Wang, Xinbing
    Fu, Luoyi
    2012 PROCEEDINGS IEEE INFOCOM, 2012, : 2095 - 2103
  • [38] Resilient and scalable wireless sensor networks
    Chia, Kim Boon
    Su, Weilian
    Ha, Tri T.
    MILCOM 2006, VOLS 1-7, 2006, : 3042 - +
  • [39] Distributed topology control in wireless sensor networks with asymmetric links
    Liu, JL
    Li, BC
    GLOBECOM'03: IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-7, 2003, : 1257 - 1262
  • [40] Topology Control for Diverse Coverage in Underwater Wireless Sensor Networks
    Liu, Linfeng
    Du, Jingli
    Liu, Ye
    ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS, 2016, 11 (03)