Start Submission Become a Reviewer

Reading: Fuzzy based congestion detection and control algorithm for energy efficient wireless sensor...

Download

A- A+
Alt. Display

Research Articles

Fuzzy based congestion detection and control algorithm for energy efficient wireless sensor network (WSN)

Authors:

A. Ramasamy Rajeswari ,

Rohini College of Engineering and Technology, Kanyakumari, India, IN
About A.
Department of Computer Science and Engineering
X close

S. Ganapathy,

Vellore Institute of Technology, Chennai, India, IN
About S.
Centre for Cyber-Physical Systems & School of Computer Science and Engineering
X close

K. Kulothungan,

Anna University, Chennai, India, IN
About K.
Department of Information and Technology, CEG Campus
X close

A Kannan

Vellore Institute of Technology, Vellore, India, IN
About A
School of Computer Science and Engineering
X close

Abstract

A wireless sensor network (WSN) is built by numerous tiny, resource aware sensor nodes to facilitate and develop various fields such as the military, health care, disaster management etc.  One of the major design issues in WSN is congestion detection and control. Data collisions, channel contention, and buffer overflow are considered to be a few important factors that may lead to a congestion problem. Congestion causes increase in packet drop rate and thus network efficiency is decreased.  Hence, the network performance and quality of service may be degraded. Therefore congestion detection and control are vital and critical challenges to be addressed. In this paper, a novel energy efficient fuzzy based congestion detection and control algorithm (EE-FBCDCA) has been proposed with the objective of addressing the energy aware congestion detection and control mechanism.  The proposed work consists of three phases, namely, 1) Fuzzy inference system based congestion detection, 2) Congestion notification phase and 3) Fuzzy inference system based congestion control. In this work, once the congestion is detected and upon receiving the notification message, the intermediate nodes will adjust their respective transmission rate to prevent further drop of packets. Thus, EE- FBCDCA detects and control the congestion more effectively to improve the QoS of the network. The proposed work is implemented and analysed by using MATLAB, and the performance is compared with the existing HTCCFL and FBACC. The simulation results of EE- FBCDCA shows enhanced network lifetime, energy efficiency, and reliability. 

How to Cite: Ramasamy Rajeswari, A., Ganapathy, S., Kulothungan, K. and Kannan, A., 2022. Fuzzy based congestion detection and control algorithm for energy efficient wireless sensor network (WSN). Journal of the National Science Foundation of Sri Lanka, 50(3), pp.563–576. DOI: http://doi.org/10.4038/jnsfsr.v50i3.10398
Published on 31 Oct 2022.
Peer Reviewed

Downloads

  • PDF (EN)

    comments powered by Disqus