Enabling energy efficient and resilient networks using dynamic topologies

Aldraho, Abdelnour and Kist, Alexander A. (2012) Enabling energy efficient and resilient networks using dynamic topologies. In: 2012 Sustainable Internet and ICT for Sustainability (SustainIT 2012), 4-5 Oct 2012, Pisa, Italy.


Communication networks are dimensioned for peak loads, but load fluctuates and networks are often underutilized. Energy consumption of routers and communication links is largely load independent, i.e. lightly loaded network have similar power consumptions than highly loaded networks. In light of the global focus on energy efficiency and greenhouse gas emissions, ideally, networks exhibit load proportional energy profiles. At the same time it is imperative that communication networks are resilient to link failure. This
paper introduces the concept of resilient dynamic topologies where networks have the ability to reduce the number of active nodes and links during lightly loaded periods while maintaining resilience to link failures. Mathematical programming models are presented that result in reduced optimal network configurations. Using a sample network, energy consumption of networks with dynamic topologies and resilient dynamic topologies are compared. It is concluded that reduced resilient topologies with smaller energy footprints are feasible.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version due to publisher copyright policy. Article number6388040.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 01 Apr 2013 05:34
Last Modified: 17 Sep 2014 03:29
Uncontrolled Keywords: energy efficiency, computer networks, resilience
Fields of Research : 10 Technology > 1005 Communications Technologies > 100503 Computer Communications Networks
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
URI: http://eprints.usq.edu.au/id/eprint/22364

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