Fuzzy Based Trust Estimation for Congestion Control in Wireless Sensor Networks

• Published in: 2009 International Conference on Intelligent Networking and Collaborative Systems pp. 233 - 236
• Main Authors: Zarei, M., Rahmani, A.M., Sasan, A., Teshnehlab, M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.11.2009
• Subjects: Communication system traffic control; congestion; Control systems; Fuzzy control; Fuzzy Inference System (FIS); Fuzzy logic; Fuzzy sets; Fuzzy systems; malicious node; Sensor phenomena and characterization; Telecommunication traffic; Traffic control; trust; Wireless Sensor Network (WSN); Wireless sensor networks
• ISBN: 9781424451654; 1424451655
• DOI: 10.1109/INCOS.2009.16

In this paper we present a novel congestion control scheme based on fuzzy logic systems for a wireless sensor network (WSN). In sensor networks existence of malicious nodes is undeniable. These nodes aggravate congestion problem by diffusing useless packets. In our approach using in-network fuzzy based processing, each node monitors the behavior of its neighbor nodes estimating their related trust. Therefore, malicious nodes will be detected and isolated to reduce congestion rate contributed by relative packets. Results show our proposed scheme increases packet delivery of legitimate nodes up to 27.5% and reduces packet loss ratio up to 40% when 16% of all nodes are inferred as malicious.