Title: Fuzzy trust-based aggregator sensor node election in internet of things

Authors: G. Rajesh; X. Mercilin Raajini; B. Vinayagasundaram

Addresses: Department of Information Technology, Anna University, Chennai, India ' Department of Electronics and Communication Engineering, Vel Tech Multi Tech Dr.Rangarajan Dr. Sakunthla Engineering College, Chennai, India ' Department of Information Technology, Anna University, Chennai, India

Abstract: 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.

Keywords: internet of things; IoT; fuzzy logic; aggregator election; wireless sensor networks; WSNs; trustworthiness; trust; sensor nodes; network security; network attacks; aggregation ratio; network lifetime; residual energy; false positives; node authentication; physical factor; remoteness; reputation; aggregation intelligence.

DOI: 10.1504/IJIPT.2016.079550

International Journal of Internet Protocol Technology, 2016 Vol.9 No.2/3, pp.151 - 160

Received: 09 Feb 2016
Accepted: 15 Jul 2016

Published online: 30 Sep 2016 *

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