Fuzzy trust-based aggregator sensor node election in internet of things. (2016) - Rajesh, G.
Wireless sensor networks (WSNs) act as a fundamental digital backbone, providing a virtual layer where the information about the physical world can be accessed by any computational system, which have limited resources to survive. One of the most important ingredients of the internet of things (IoT) paradigm is the integration of the web-like network with low power sensor nodes lead to lots of research challenges. Since a large-scale of WSN is to be completely integrated into the IoT, it is necessary to consider the various security challenges that come with the integration and is also important to identify and block the malicious nodes in the WSN to defend against network attacks. This paper proposed a fuzzy trusted-based aggregator (FTBA) node election technique for wireless sensor networks. The FTBA scheme performs decision-making function to authenticate the sensor nodes of the network to act as a trusted aggregator by four factors namely, physical factor, remoteness, reputation and aggregation intelligence. The proposed FTBA outperform when compared with existing approaches like LEACH, PEGASIS, and direct transmission in parameters like aggregation ratio, network life time, average node's residual energy and false positive rate of the aggregator election.