Trust Model of Wireless Sensor Networks and Its Application in Data Fusion
AbstractIn order to ensure the reliability and credibility of the data in wireless sensor networks (WSNs), this paper proposes a trust evaluation model and data fusion mechanism based on trust. First of all, it gives the model structure. Then, the calculation rules of trust are given. In the trust evaluation model, comprehensive trust consists of three parts: behavior trust, data trust, and historical trust. Data trust can be calculated by processing the sensor data. Based on the behavior of nodes in sensing and forwarding, the behavior trust is obtained. The initial value of historical trust is set to the maximum and updated with comprehensive trust. Comprehensive trust can be obtained by weighted calculation, and then the model is used to construct the trust list and guide the process of data fusion. Using the trust model, simulation results indicate that energy consumption can be reduced by an average of 15%. The detection rate of abnormal nodes is at least 10% higher than that of the lightweight and dependable trust system (LDTS) model. Therefore, this model has good performance in ensuring the reliability and credibility of the data. Moreover, the energy consumption of transmitting was greatly reduced. View Full-Text
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Chen, Z.; Tian, L.; Lin, C. Trust Model of Wireless Sensor Networks and Its Application in Data Fusion. Sensors 2017, 17, 703.
Chen Z, Tian L, Lin C. Trust Model of Wireless Sensor Networks and Its Application in Data Fusion. Sensors. 2017; 17(4):703.Chicago/Turabian Style
Chen, Zhenguo; Tian, Liqin; Lin, Chuang. 2017. "Trust Model of Wireless Sensor Networks and Its Application in Data Fusion." Sensors 17, no. 4: 703.
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