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FEBA: a bandwidth allocation algorithm for service differentiation in IEEE 802.16 mesh networks

Authors:

Claudio Cicconetti,

Ian F. Akyildiz,

Luciano LenziniAuthors Info & Claims

IEEE/ACM Transactions on Networking (TON), Volume 17, Issue 3

Pages 884 - 897

https://doi.org/10.1109/TNET.2008.2005221

Published: 01 June 2009 Publication History

Abstract

In wireless mesh networks, the end-to-end throughput of traffic flows depends on the path length, i.e., the higher the number of hops, the lower becomes the throughput. In this paper, a fair end-to-end bandwidth allocation (FEBA) algorithm is introduced to solve this problem. FEBA is implemented at the medium access control (MAC) layer of single-radio, multiple channels IEEE 802.16 mesh nodes, operated in a distributed coordinated scheduling mode. FEBA negotiates bandwidth among neighbors to assign a fair share proportional to a specified weight to each end-to-end traffic flow. This way traffic flows are served in a differentiated manner, with higher priority traffic flows being allocated more bandwidth on the average than the lower priority traffic flows. In fact, a node requests/grants bandwidth from/to its neighbors in a round-robin fashion where the amount of service depends on both the load on its different links and the priority of currently active traffic flows. If multiple channels are available, they are all shared evenly in order to increase the network capacity due to frequency reuse. The performance of FEBA is evaluated by extensive simulations. It is shown that wireless resources are shared fairly among best-effort traffic flows, while multimedia streams are provided with a differentiated service that enables quality of service.

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Cited By

Alsarhan AQuttoum AKilani Y(2017)Optimizing Spectrum Sharing in Wireless Mesh Network Using Cognitive TechnologyWireless Personal Communications: An International Journal10.1007/s11277-017-4274-496:2(1887-1905)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1007/s11277-017-4274-4
Kumuthini CKrishnakumari P(2016)Evolving intuitionistic fuzzy priority classifier with bio-inspiration based scheduling scheme for WiMAX in vehicular ad-hoc networksWireless Networks10.1007/s11276-015-0978-022:2(403-415)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1007/s11276-015-0978-0
Pounambal MKrishna P(2016)Efficient channel assignment method for multimedia traffic in wireless mesh networksInternational Journal of Communication Systems10.1002/dac.300029:5(929-941)Online publication date: 25-Mar-2016
https://dl.acm.org/doi/10.1002/dac.3000
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Published In

cover image IEEE/ACM Transactions on Networking

IEEE/ACM Transactions on Networking Volume 17, Issue 3

June 2009

329 pages

ISSN:1063-6692

Issue’s Table of Contents

Publisher

IEEE Press

Publication History

Published: 01 June 2009

Revised: 19 March 2008

Received: 02 August 2007

Published in TON Volume 17, Issue 3

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Cited By

Alsarhan AQuttoum AKilani Y(2017)Optimizing Spectrum Sharing in Wireless Mesh Network Using Cognitive TechnologyWireless Personal Communications: An International Journal10.1007/s11277-017-4274-496:2(1887-1905)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1007/s11277-017-4274-4
Kumuthini CKrishnakumari P(2016)Evolving intuitionistic fuzzy priority classifier with bio-inspiration based scheduling scheme for WiMAX in vehicular ad-hoc networksWireless Networks10.1007/s11276-015-0978-022:2(403-415)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1007/s11276-015-0978-0
Pounambal MKrishna P(2016)Efficient channel assignment method for multimedia traffic in wireless mesh networksInternational Journal of Communication Systems10.1002/dac.300029:5(929-941)Online publication date: 25-Mar-2016
https://dl.acm.org/doi/10.1002/dac.3000
Xu DLiu X(2015)Throughput-fairness optimization in energy-limited user-relay wireless networksWireless Networks10.1007/s11276-014-0829-421:3(1047-1060)Online publication date: 1-Apr-2015
https://dl.acm.org/doi/10.1007/s11276-014-0829-4
Reddy CKrishna P(2014)Cross Layer Based Congestion Control in Wireless Mesh NetworksCybernetics and Information Technologies10.2478/cait-2014-002014:2(65-80)Online publication date: 1-Jul-2014
https://dl.acm.org/doi/10.2478/cait-2014-0020
Vijayalayan KHarwood AKarunasekera S(2013)Distributed scheduling schemes for wireless mesh networksACM Computing Surveys10.1145/2522968.252298246:1(1-34)Online publication date: 11-Jul-2013
https://dl.acm.org/doi/10.1145/2522968.2522982
Ahmed IMohammed AAlnuweiri H(2013)On the fairness of resource allocation in wireless mesh networksWireless Networks10.1007/s11276-013-0544-619:6(1451-1468)Online publication date: 1-Aug-2013
https://dl.acm.org/doi/10.1007/s11276-013-0544-6
Fowler SZhang X(2012)Ubiquitous fair bandwidth allocation for multimedia traffic on a WiMAX mesh network with multi-channelsInternational Journal of Ad Hoc and Ubiquitous Computing10.1504/IJAHUC.2012.0470099:4(224-240)Online publication date: 1-May-2012
https://dl.acm.org/doi/10.1504/IJAHUC.2012.047009
Tu YChen MSun Y(2011)Adaptive on-the-go scheduling for end-to-end delay control in TDMA-based wireless mesh networksProceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part II10.5555/2008826.2008851(263-274)Online publication date: 9-May-2011
https://dl.acm.org/doi/10.5555/2008826.2008851
Vejarano GMcNair JPerrone LStea GLiu JUhrmacher AVillén-Altamirano M(2010)WiMAX-RBDS-SimProceedings of the 3rd International ICST Conference on Simulation Tools and Techniques10.5555/1808143.1808178(1-10)Online publication date: 15-Mar-2010
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