Mohamed Amine Kafi
Congestion control protocols in wireless sensor networks: A survey
Kafi, Mohamed Amine; Djenouri, Djamel; Ben-Othman, Jalel; Badache, Nadjib
Authors
Dr Djamel Djenouri Djamel.Djenouri@uwe.ac.uk
Associate Professor in Computer Science
Jalel Ben-Othman
Nadjib Badache
Abstract
The performance of wireless sensor networks (WSN) is affected by the lossy communication medium, application diversity, dense deployment, limited processing power and storage capacity, frequent topology change. All these limitations provide significant and unique design challenges to data transport control in wireless sensor networks. An effective transport protocol should consider reliable message delivery, energy-efficiency, quality of service and congestion control. The latter is vital for achieving a high throughput and a long network lifetime. Despite the huge number of protocols proposed in the literature, congestion control in WSN remains challenging. A review and taxonomy of the state-of-the-art protocols from the literature up to 2013 is provided in this paper. First, depending on the control policy, the protocols are divided into resource control vs. traffic control. Traffic control protocols are either reactive or preventive (avoiding). Reactive solutions are classified following the reaction scale, while preventive solutions are split up into buffer limitation vs. interference control. Resource control protocols are classified according to the type of resource to be tuned. © 2014 IEEE.
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 1, 2014 |
Online Publication Date | Mar 5, 2014 |
Publication Date | Jul 1, 2014 |
Deposit Date | Jan 21, 2020 |
Publicly Available Date | Jan 23, 2020 |
Journal | IEEE Communications Surveys and Tutorials |
Print ISSN | 1553-877X |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 16 |
Issue | 3 |
Pages | 1369-1390 |
DOI | https://doi.org/10.1109/SURV.2014.021714.00123 |
Keywords | Electrical and Electronic Engineering |
Public URL | https://uwe-repository.worktribe.com/output/5199767 |
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(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
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