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Sensors 2017, 17(4), 703; doi:10.3390/s17040703

Trust Model of Wireless Sensor Networks and Its Application in Data Fusion

1
Hebei Engineering Technology Research Center for IOT Data acquisition & Processing, North China Institute of Science and Technology, East Yanjiao, Beijing 101601, China
2
School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China
3
Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
*
Author to whom correspondence should be addressed.
Received: 5 December 2016 / Revised: 24 March 2017 / Accepted: 27 March 2017 / Published: 28 March 2017
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Abstract

In 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
Keywords: trust evaluation model; wireless sensor networks; sensor data; data fusion trust evaluation model; wireless sensor networks; sensor data; data fusion
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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.

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