A Trust Secure Data Aggregation Model with Multiple Attributes for WSNs

Abstract

Wireless Sensor Networks (WSNs) are composed of many resource-limited nodes which may be laid in an unattended way. As a result, the sensing data in the transmission mechanism are sensitive to attacks launched by adversaries. In this paper, we propose a novel Trust Secure Data Aggregation Model (TSDAM) with multiple attributes for WSNs. Firstly, we calculate the direct trust based on the data accuracy, the energy consumption and the forwarding behavior of nodes. Secondly, the indirect trust is evaluated according to the communication behavior and the recommended credibility of neighbor nodes. Finally, the comprehensive trust is generated depending on various trusts, such as the direct and the indirect trust. Different from other mechanisms, TSDAM also selects the trust path according to the self-recommendation which is an attribute to indicate the willingness whether a node hope to participate in the communication process or not. The simulations show that TSDAM not only improves the reliability of the relay node, but also promotes the efficiency and accuracy of data aggregation.