ZHANG Le-jun, DENG Xin, GUO Lin, ZHANG Jian-pei, YANG Jing, LI Hong-bo. Research on Trust Model Based on Social Network Correlation Degree Analysis in Wireless Sensor Networks[J]. Journal of University of Electronic Science and Technology of China, 2015, 44(1): 106-111. DOI: 10.3969/j.issn.1001-0548.2015.01.018
Citation: ZHANG Le-jun, DENG Xin, GUO Lin, ZHANG Jian-pei, YANG Jing, LI Hong-bo. Research on Trust Model Based on Social Network Correlation Degree Analysis in Wireless Sensor Networks[J]. Journal of University of Electronic Science and Technology of China, 2015, 44(1): 106-111. DOI: 10.3969/j.issn.1001-0548.2015.01.018

Research on Trust Model Based on Social Network Correlation Degree Analysis in Wireless Sensor Networks

  • 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.
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