Dynamic topologies for sustainable and energy efficient traffic routing

Kist, Alexander A. and Aldraho, Abdelnour (2011) Dynamic topologies for sustainable and energy efficient traffic routing. Computer Networks, 55 (9). pp. 2271-2288. ISSN 1389-1286

Abstract

In light of the global focus on greenhouse gas emissions, energy consumption of communication networks has become an important research area. Networks are major energy consumers and are generally dimensioned for peak loads. For extended periods, resources consume power, but are lightly or unused. This research investigates the concept of dynamic topologies, i.e. networks that adapt their topology according to traffic volume. The key aim of this study is to investigate power reductions that can be achieved by dynamic topologies. It proposes a network transformation and introduces mathematical programming models that results in energy optimal topologies for given traffic loads. This paper focuses on the optimisation problems and investigates gains in static environments. Numerical results are presented for example networks using a large set of traffic matrices. For the test networks, dynamic topologies reduce the average network power consumption, depending on the network load, by approximately 12-52%.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version due to publisher copyright policy.
Depositing User: Dr Alexander Kist
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 21 Jun 2011 11:54
Last Modified: 25 Aug 2014 02:45
Uncontrolled Keywords: energy efficient networking; network optimisation; network transformation; dynamic topologies
Fields of Research (FOR2008): 09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
10 Technology > 1005 Communications Technologies > 100503 Computer Communications Networks
01 Mathematical Sciences > 0101 Pure Mathematics > 010112 Topology
Socio-Economic Objective (SEO2008): B Economic Development > 85 Energy > 8507 Energy Conservation and Efficiency > 850799 Energy Conservation and Efficiency not elsewhere classified
Identification Number or DOI: doi: 10.1016/j.comnet.2011.03.008
URI: http://eprints.usq.edu.au/id/eprint/19221

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