Title
Routing Algorithm Of Wireless Sensor Network And Robustness Analysis Based On Fuzzy Mathematics
Abstract
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.
Year
DOI
Venue
2017
10.3991/ijoe.v13i12.7888
INTERNATIONAL JOURNAL OF ONLINE ENGINEERING
Keywords
Field
DocType
Routing Algorithms, Robustness Analysis, Wireless Sensor Network (WSN), Fuzzy Mathematics
Hierarchical clustering,Random variable,Load balancing (computing),Fuzzy logic,Computer network,Fuzzy mathematics,Real-time computing,Robustness (computer science),Engineering,Wireless sensor network,Energy consumption
Journal
Volume
Issue
ISSN
13
12
1868-1646
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Ying Xiang1145.66
Miaochao Chen230.71
Xiaohong Zhuang300.34
Xiaoxing Li400.34