Functional Reputation Based Data Aggregation for Wireless Sensor Networks

In wireless sensor networks, malicious sensor nodes send false data reports to distort aggregation results. Existing trust systems rely on general reputation to mitigate the effect of this attack. This paper presents a novel reliable data aggregation protocol, called RDAT, which is based on the concept of functional reputation. Functional reputation enables data aggregators to evaluate each type of sensor node action using a respective reputation value thereby increasing the accuracy of the trust system. The simulation results show that protocol RDAT significantly improves the reliability of aggregated data in the presence of compromised nodes.