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A fuzzy technique to control congestion in WSN

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.

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Title A fuzzy technique to control congestion in WSN
Author(s) Ghanavati, Sara
Abawajy, JemalORCID iD for Abawajy, Jemal
Izadi, Davood
Conference name International Joint Conference on Neural Networks (2013 : Dallas, Texas)
Conference location Dallas, Texas
Conference dates 4-9 Aug. 2013
Title of proceedings IJCNN 2013 : Proceedings of the International Joint Conference on Neural Networks
Editor(s) [Unknown]
Publication date 2013
Conference series International Joint Conference on Neural Networks
Start page 1806
End page 1810
Total pages 5
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) wireless sensor networks (WSN)
congestion control method
type2 fuzzy logic system
Summary 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.
ISBN 9781467361293
Language eng
DOI 10.1109/IJCNN.2013.6706958
Field of Research 080503 Networking and Communications
Socio Economic Objective 890199 Communication Networks and Services not elsewhere classified
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
HERDC collection year 2013
Copyright notice ©2013, IEEE
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Document type: Conference Paper
Collection: School of Information Technology
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Created: Wed, 23 Oct 2013, 10:04:30 EST

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