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Energy Savings in Wireless Mesh Networks in a Time-Variable Context

Authors:

Antonio Capone,

Filippo Malandra,

Brunilde SansòAuthors Info & Claims

Mobile Networks and Applications, Volume 17, Issue 2

Pages 298 - 311

https://doi.org/10.1007/s11036-011-0339-x

Published: 01 April 2012 Publication History

Abstract

Energy consumption of communication systems is becoming a fundamental issue and, among all the sectors, wireless access networks are largely responsible for the increase in consumption. In addition to the access segment, wireless technologies are also gaining popularity for the backhaul infrastructure of cellular systems mainly due to their cost and easy deployment. In this context, Wireless Mesh Networks (WMN) are commonly considered the most suitable architecture because of their versatility that allows flexible configurations. In this paper we combine the flexibility of WMN with the need for energy consumption reduction by presenting an optimization framework for network management that takes into account the trade off between the network energy needs and the daily variations of the demand. A resolution approach and a thorough discussion on the details related to WMN energy management are also presented.

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Cited By

Poudel SMoh SShen J(2020)Energy Conservation Techniques for Flying Ad Hoc Networks.The 9th International Conference on Smart Media and Applications10.1145/3426020.3426024(15-21)Online publication date: 17-Sep-2020
https://dl.acm.org/doi/10.1145/3426020.3426024
Prakash BJayashri SPrabaharan G(2020)RETRACTED ARTICLE: Hybrid evolutionary algorithm (NNACOR) for energy minimization in a wireless mesh topology towards green computingSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-019-04592-124:14(10893-10902)Online publication date: 1-Jul-2020
https://dl.acm.org/doi/10.1007/s00500-019-04592-1
Wu WLuo JDong KYang MLing Z(2018)Energy-Efficient User Association with Congestion Avoidance and Migration Constraint in Green WLANsWireless Communications & Mobile Computing10.1155/2018/95961412018Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1155/2018/9596141
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Energy Savings in Wireless Mesh Networks in a Time-Variable Context
1. General and reference
  1. Cross-computing tools and techniques
2. Networks
  1. Network types

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cover image Mobile Networks and Applications

Mobile Networks and Applications Volume 17, Issue 2

April 2012

164 pages

ISSN:1383-469X

Issue’s Table of Contents

Copyright © Copyright © 2012 Springer Science+Business Media, LLC.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 April 2012

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Cited By

Poudel SMoh SShen J(2020)Energy Conservation Techniques for Flying Ad Hoc Networks.The 9th International Conference on Smart Media and Applications10.1145/3426020.3426024(15-21)Online publication date: 17-Sep-2020
https://dl.acm.org/doi/10.1145/3426020.3426024
Prakash BJayashri SPrabaharan G(2020)RETRACTED ARTICLE: Hybrid evolutionary algorithm (NNACOR) for energy minimization in a wireless mesh topology towards green computingSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-019-04592-124:14(10893-10902)Online publication date: 1-Jul-2020
https://dl.acm.org/doi/10.1007/s00500-019-04592-1
Wu WLuo JDong KYang MLing Z(2018)Energy-Efficient User Association with Congestion Avoidance and Migration Constraint in Green WLANsWireless Communications & Mobile Computing10.1155/2018/95961412018Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1155/2018/9596141
(2017)Energy-efficient activation of nodes and radios in multi-radio WLAN mesh networksInternational Journal of Sensor Networks10.1504/IJSNET.2017.08340723:3(187-200)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1504/IJSNET.2017.083407
Hammami SAfifi H(2017)Fault-tolerant dynamic planning for wireless mesh networks based on real load profilesComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2017.06.008128:C(94-107)Online publication date: 9-Dec-2017
https://dl.acm.org/doi/10.1016/j.comnet.2017.06.008
Myasnikov DSiemenikhin K(2016)Control of M|M|1|N queue parameters under constraintsJournal of Computer and Systems Sciences International10.1134/S106423071506012X55:1(59-78)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1134/S106423071506012X
Gupta LJain RVaszkun G(2016)Survey of Important Issues in UAV Communication NetworksIEEE Communications Surveys & Tutorials10.1109/COMST.2015.249529718:2(1123-1152)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.1109/COMST.2015.2495297
Mamechaoui SSenouci SDidi FPujolle G(2015)Energy Efficient Management for Wireless Mesh Networks with Green RoutersMobile Networks and Applications10.1007/s11036-015-0601-820:5(567-582)Online publication date: 1-Oct-2015
https://dl.acm.org/doi/10.1007/s11036-015-0601-8
Amokrane ALangar RBoutaba RPujolle GMedhi D(2012)A green framework for energy efficient management in TDMA-based wireless mesh networksProceedings of the 8th International Conference on Network and Service Management10.5555/2499406.2499458(322-328)Online publication date: 22-Oct-2012
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Boiardi SCapone ASansó B(2012)Joint design and management of energy-aware Mesh NetworksAd Hoc Networks10.1016/j.adhoc.2012.04.00510:7(1482-1496)Online publication date: 1-Sep-2012
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