Research on trust model based on social network correlation degree analysis in wireless sensor networks

被引:0
|
作者
Zhang, Le-Jun [1 ]
Deng, Xin [1 ]
Guo, Lin [1 ]
Zhang, Jian-Pei [1 ]
Yang, Jing [1 ]
Li, Hong-Bo [1 ]
机构
[1] College of Computer Science and Technology, Harbin Engineering University, Harbin
来源
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2015年 / 44卷 / 01期
关键词
Relational degree analysis; Social network; Trust model; Wireless sensor network;
D O I
10.3969/j.issn.1001-0548.2015.01.018
中图分类号
学科分类号
摘要
Based on the similarity comparison of WSN model and social network model, this paper proposes a trust model based on social network correlation degree in wireless sensor networks (WSN). The computing method of WSN node credit with network correlation degree is built. The sensor node trust update algorithm (SNTUA) is designed based on sliding windows. Simulation experiments prove that SNTUA is better than other two algorithms and the correctness and effectiveness of SNTUA is testified. ©, 2015, Univ. of Electronic Science and Technology of China. All right reserved.
引用
收藏
页码:106 / 111
页数:5
相关论文
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