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COALA: A Protocol for the Avoidance and Alleviation of Congestion in Wireless Sensor Networks

Kandris, Dionisis, Tselikis, George, Anastasiadis, Eleftherios, Panaousis, Emmanouil and Dagiuklas, Tasos (2017) COALA: A Protocol for the Avoidance and Alleviation of Congestion in Wireless Sensor Networks Sensors, 17 (11).

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The occurrence of congestion has an extremely deleterious impact on the performance of Wireless Sensor Networks (WSNs). This article presents a novel protocol, named COALA (COngestion ALleviation and Avoidance), which aims to act both proactively, in order to avoid the creation of congestion in WSNs, and reactively, so as to mitigate the diffusion of upcoming congestion through alternative path routing. Its operation is based on the utilization of an accumulative cost function, which considers both static and dynamic metrics in order to send data through the paths that are less probable to be congested. COALA is validated through simulation tests, which exhibit its ability to achieve remarkable reduction of loss ratios, transmission delays and energy dissipation. Moreover, the appropriate adjustment of the weighting of the accumulative cost function enables the algorithm to adapt to the performance criteria of individual case scenarios.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
Kandris, Dionisis
Tselikis, George
Anastasiadis, Eleftherios
Dagiuklas, Tasos
Date : 31 October 2017
DOI : 10.3390/s17112502
Copyright Disclaimer : © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
Uncontrolled Keywords : Wireless Sensor Networks; Congestion avoidance; Congestion control; Load balancing; Energy efficiency; Routing protocol
Additional Information : (This article belongs to the Special Issue 'Soft Sensors and Intelligent Algorithms for Data Fusion')
Depositing User : Clive Harris
Date Deposited : 02 Nov 2017 15:50
Last Modified : 16 Jan 2019 19:03

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