Ghanavati, Sara, Abawajy, Jemal and Izadi, Davood 2013, A fuzzy technique to control congestion in WSN, in IJCNN 2013 : Proceedings of the International Joint Conference on Neural Networks, IEEE, Piscataway, N.J., pp. 1806-1810, doi: 10.1109/IJCNN.2013.6706958.
Congestion in wireless sensor networks (WSNs) is a crucial issue. That is due to the relatively high node density and source-to-sink communication pattern. Congestion not only causes packet loss, but also leads to excessive energy consumption as well as delay. Therefore, in order to prolong network lifetime and improve fairness and provide better quality of service, developing a novel solution for congestion estimation and control is important to be considered. To address this problem, we propose a type-2 fuzzy logic based algorithm to detect and control congestion level in WSNs. The proposed algorithm considers local information such as packet loss rate and delay to control congestion in the network. Simulation results show that our protocol performs better than a recently developed protocol in prolonging network lifetime as well as decreasing packet loss.
Field of Research
080503 Networking and Communications
Socio Economic Objective
890199 Communication Networks and Services not elsewhere classified
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