A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 2 Issue 3
Jul.  2015

IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor: 7.847, Top 10% (SCI Q1)
    CiteScore: 13.0, Top 5% (Q1)
    Google Scholar h5-index: 51, TOP 8
Turn off MathJax
Article Contents
Xiaoyuan Luo, Liu Feng, Jing Yan and Xinping Guan, "Dynamic Coverage with Wireless Sensor and Actor Networks in Underwater Environment," IEEE/CAA J. of Autom. Sinica, vol. 2, no. 3, pp. 274-281, 2015.
Citation: Xiaoyuan Luo, Liu Feng, Jing Yan and Xinping Guan, "Dynamic Coverage with Wireless Sensor and Actor Networks in Underwater Environment," IEEE/CAA J. of Autom. Sinica, vol. 2, no. 3, pp. 274-281, 2015.

Dynamic Coverage with Wireless Sensor and Actor Networks in Underwater Environment

Funds:

This work was supported in part by National Basic Research Program of China (973 Program) (2010CB731803), National Natural Science Foundation of China (61375105), China Postdoctoral Science Foundation Funded Project (2015M570235), Youth Foundation of Hebei Educational Committee (QN2015187), and Science Foundation of Yanshan University (B832, 14LGA010).

  • This paper studies the problem of dynamic coverage with wireless sensor and actor networks (WSANs) in underwater environment. Different from most existing works, the WSANs consist of two kinds of nodes, i.e., sensor nodes (SNs) which cannot move autonomously and actor nodes (ANs) which can move autonomously according to the performance requirement. The problem of how to coordinate two kinds of nodes to facilitate dynamic coverage in underwater environment is challenging due to their heterogeneous capabilities. To reduce redundancy of communication links and improve connectivity between ANs and SNs in underwater WSANs, a min-weighted rigid graph based topology optimization scheme is first developed, such that the underwater communication energy consumption can be saved. With the optimized topology, a dynamic coverage strategy is proposed to improve the coverage among SNs and ANs for underwater WSAN where underwater fluid motions are considered. Furthermore, it is proved that the network coverage area is connected by using the min-weighted rigid graph. Finally, simulation results are presented to show the effectiveness of the main results.

     

  • loading
  • [1]
    Yan J, Guan X P, Luo X Y, Chen C L. A cooperative pursuit-evasion game in wireless sensor and actor networks. Journal of Parallel and Distributed Computing, 2013, 73(9):1267-1276
    [2]
    Chao C M, Wang Y Z, Lu M W. Multiple-rendezvous multichannel MAC protocol design for underwater sensor networks. IEEE Transactions on Systems, Man, and Cybernetics:Systems, 2013, 43(1):128-138
    [3]
    Pandey P, Hajimirsadeghi M, Pompili D. Region of feasibility of interference alignment in underwater sensor networks. IEEE Journal of Oceanic Engineering, 2014, 39(1):189-202
    [4]
    Wu L H, Li Y P, Su S J, Yan P, Qin Y. Hydrodynamic analysis of AUV underwater docking with a cone-shaped dock under ocean currents. Ocean Engineering, 2014, 85:110-126
    [5]
    Smith S L, Schwager M, Rus D. Persistent robotic tasks:monitoring and sweeping in changing environments. IEEE Transactions on Robotics, 2012, 28(2):410-426
    [6]
    Smith R N, Schwager M, Smith S L, Jones B H, Rus D, Sukhatme G S. Persistent ocean monitoring with underwater gliders:adapting sampling resolution. Journal of Field Robotics, 2011, 28(5):714-741
    [7]
    Huang J J, Sun L J, Wang R C, Huang H P. Improved virtual potential field algorithm based on probability model in three-dimensional directional sensor networks. International Journal of Distributed Sensor Networks, 2012, Article ID 942080
    [8]
    Xia Na, Zheng Yu-Chen, Du Hua-Zheng, Xu Chao-Nong, Zheng Rong. Rigidity driven underwater sensor self-organized deployment. Chinese Journal of Computers, 2013, 36(3):494-505(in Chinese)
    [9]
    Lee T S, Lee B H. A new hybrid terrain coverage method for underwater robotic exploration. Journal of Marine Science and Technology, 2014, 19(1):75-89
    [10]
    Luo X Y, Yan Y L, Li S B, Guan X P. Topology control based on optimally rigid graph in wireless sensor networks. Computer Networks, 2013, 57(4):1037-1047
    [11]
    Yan J, Chen C L, Luo X Y, Liang H, Guan X P, Yang X. Topology optimization-based distributed estimation in relay assisted wireless sensor networks. IET Control Theory and Applications, 2014, 8(18):2219-2229
    [12]
    Akkaya K, Janapala S. Maximizing connected coverage via controlled actor relocation in wireless sensor and actor networks. Computer Networks, 2008, 52(14):2779-2796
    [13]
    Zamanifar A, Sharifi M, Kashefi O. Self actor-actor connectivity restoration in wireless sensor and actor networks. In:Proceedings of the 1st Asian Conference on Intelligent Information and Database Systems. Quang binh, Vietnami:IEEE, 2009. 442-447
    [14]
    Pompili D, Melodia T, Akyildiz I F. Three-dimensional and twodimensional deployment analysis for underwater acoustic sensor networks. Ad Hoc Networks, 2009, 7(4):778-790
    [15]
    Anderson B D O, Yu C B, Fidan B, Hendrickx J M. Rigid graph control architectures for autonomous formations. IEEE Control Systems Magazine, 2008, 28(6):48-63
    [16]
    Eren T, Anderson B D O, Morse A S. Operations on rigid formations of autonomous agents. Communications in Information and Systems, 2004, 3(4):223-258
    [17]
    Wang Q, Chen J, Fang H, Ma Q. Flocking control for multi-agent systems with stream-based obstacle avoidance. Transactions of the Institute of Measurement and Control, 2014, 36(3):391-398
    [18]
    Arakawa A. Computational design for long-term numerical integration of the equations of fluid motion:two-dimensional incompressible flow. Part I. Journal of Computational Physics, 1966, 1(1):119-143
    [19]
    Li Xiao-Lei, Shao Zhi-Jiang, Qian Ji-Xin. An optimizing method based on autonomous animats:fish-swarm algorithm. System Engineering Theory and Practice, 2002, 22(11):32-38(in Chinese)
    [20]
    Zhu Z S, So A M-C, Ye Y Y. Universal rigidity:towards accurate and efficient localization of wireless networks. In:Proceedings of the 2010 IEEE INFOCOM. San Diego, CA:IEEE, 2010. 1-9

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

    Article Metrics

    Article views (1071) PDF downloads(10) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return