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General Information
    • ISSN: 2010-3719
    • Frequency: Bimonthly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Associate Executive Editor: Ms. Jennifer Zeng
    • Executive Editor: Mr. Ron C. Wu
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET).
    • E-mail ijiee@ejournal.net

Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, IJIEE will be recognized among the readers in the related field."
IJIEE 2012 Vol.2(3): 395-399 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2012.V2.123

Design a New Fuzzy Congestion Controller in Wireless Sensor Networks

M. Samimi, A. Rezaee, and M. H. Yaghmaee

Abstract—Wireless Sensor Networks (WSNs) become active suddenly, when an event occurs in order to respond to the event. Depending on the network and the application, there exist different levels of congestion that need to be controlled. This article presents the design of a new fuzzy congestion controller (FCC) in WSNs. This FCC detects and avoids congestion by developing the ad hoc fuzzy rules base as well as membership functions. In this concept, two parameters have been used as the sign of congestion: a) Channel load b) The size of queue within intermediate nodes. These parameters constitute the input to FCC. The output of this FCC (sending rate) derives from the conjunction with Fuzzy Rules Base and Fuzzy Inference Engine. The congestion is controlled by the sending rate. The simulation results reveal that usage of fuzzy congestion controller has reduced packet-loss about 16%, comparing with non-fuzzy methods. It has also increased throughput and saving energy.

Index Terms—Congestion; fuzzy rules, fuzzy sets, membership function, sending rate.

The authors are with the Department of Computer Engineering Islamic Azad University, Mashhad Branch, Faculty of Payam Nour, Islamic Azad University, Mashhad Branch, Mashhad, Iran (eamil:Samimi1598@yahoo.com, A_Rezaee@pnu.ac.ir, Yaghmaee@ieee.org)


Cite: M. Samimi, A. Rezaee, and M. H. Yaghmaee, "Design a New Fuzzy Congestion Controller in Wireless Sensor Networks," International Journal of Information and Electronics Engineering vol. 2, no. 3, pp. 395-399, 2012.

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