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A fuzzy technique to control congestion in WSN
conference contribution
posted on 2013-01-01, 00:00 authored by Sara Ghanavati, Jemal AbawajyJemal Abawajy, Davood IzadiCongestion 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.
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Event
International Joint Conference on Neural Networks (2013 : Dallas, Texas)Pagination
1806 - 1810Publisher
IEEELocation
Dallas, TexasPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2013-08-04End date
2013-08-09ISBN-13
9781467361293Language
engPublication classification
E1 Full written paper - refereed; E Conference publicationCopyright notice
2013, IEEETitle of proceedings
IJCNN 2013 : Proceedings of the International Joint Conference on Neural NetworksUsage metrics
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