Industrial IoT Technologies and Applications. International Conference, Industrial IoT 2016, GuangZhou, China, March 25-26, 2016, Revised Selected Papers

Research Article

Robust Topology and Chaos Characteristic of Complex Wireless Sensor Network

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  • @INPROCEEDINGS{10.1007/978-3-319-44350-8_16,
        author={Changjian Deng and Heng Zhang},
        title={Robust Topology and Chaos Characteristic of Complex Wireless Sensor Network},
        proceedings={Industrial IoT Technologies and Applications. International Conference, Industrial IoT 2016, GuangZhou, China, March 25-26, 2016, Revised Selected Papers},
        proceedings_a={INDUSTRIALIOT},
        year={2016},
        month={9},
        keywords={Chaos Bifurcation Robust topology Complex wireless sensor network Nonlinear dynamic equation},
        doi={10.1007/978-3-319-44350-8_16}
    }
    
  • Changjian Deng
    Heng Zhang
    Year: 2016
    Robust Topology and Chaos Characteristic of Complex Wireless Sensor Network
    INDUSTRIALIOT
    Springer
    DOI: 10.1007/978-3-319-44350-8_16
Changjian Deng1,*, Heng Zhang2
  • 1: Chengdu University of Information Technology
  • 2: Southwest University
*Contact email: Chengli_dcj@163.com

Abstract

Wireless sensor networks have found their chaos characteristics in their applications, for example, in network coding, synchronizing, network security communicating, and so on. To analyze the robustness of WSN under complex status, the nonlinear dynamic equation of network connectivity changed by attack is proposed, and then the bifurcation of network dynamic connection topology is analyzed in the paper. It shows that there is a limit to predict or control the network topology in the global (or top to down design), but it can be partly overcome by inverse design (or down to top design). This analytical finding is confirmed by numerical simulations; meanwhile it presents an inverse design method that is capable of stabilizing network topology under attack.