Routing Algorithm of Wireless Sensor Network and Robustness Analysis Based on Fuzzy Mathematics

Ying Xiang, Miaochao Chen, Xiaohong Zhuang, Xiaoxing Li


In order to reduce the energy consumption and enhance the robustness of wireless sensor network (WSN), this paper proposes a hierarchical clustering routing algorithm based on fuzzy mathematics (HCRAFM). To make a comprehensive analysis of WSN, it is also necessary to detect the robustness of the network. Facing the multiple random variables, the traditional robustness detection models assume that all nodes have the same weight, making it impossible to quantify the analysis indices or obtain accurate results. Thus, the fuzzy mathematics theory was introduced to the WSN robustness detection, forming a fuzzy comprehensive evaluation method. The simulation results show that the HCRAFM strikes a load balance between WSN nodes, extends the life cycle of each node, and prolongs the service life of the network. In addition, the proposed algorithm is proved to have sound robustness and strong applicability.


Routing Algorithms; Robustness Analysis; Wireless Sensor Network (WSN); Fuzzy Mathematics

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International Journal of Online and Biomedical Engineering (iJOE) – eISSN: 2626-8493
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