Self-Regeneration Based Method for Topology Control with Intrusion Tolerance in Wireless Sensor Networks
Wang Liangmin, and Ma Jianfeng
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Two key problems of topology controlling are pointed out for unattended wireless sensor networks which are deployed in hostile region. Firstly, how to get an intrusion-tolerant architecture with intrusion in existence; Secondly, how to sustain a connected network when all deployed nodes will be exhausted ultimately. To solve these two problems, A novel approach for topology control is presented, which disassembles into three phases, such as topology discovery, topology update and topology regeneration. In topology discovery phase, a tricolor based method is proposed to build architecture with high tolerance ability, in which black nodes are selected as cluster and grey nodes are in dormancy, so the networks are sparse and tolerant. In update and regeneration phases, the newly deployed nodes are regarded as renewable resource to replace the failure nodes, fill in the consumed energy, enhance the debased tolerance, and prolong network life. The topology constructed by this approach is proved to be intrusion tolerant. Some attributes of the integrated method are shown by simulations, such as the parameter of distribution of cluster head, the relation between the density of nodes and the number of clusters, and the advantage of replenishing residual energy. Finally, the differences of that from related work are given by comparison.