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http://dx.doi.org/10.3837/tiis.2015.04.007

Energy-saving Strategy Based on an Immunization Algorithm for Network Traffic  

Zhao, Dongyan (Institute of Advanced Network Technology and New Services, University of Science and Technology, Beijing (USTB))
Long, Keping (Institute of Advanced Network Technology and New Services, University of Science and Technology, Beijing (USTB))
Wang, Dongxue (The University-enterprise R & D Center of Measuring and Testing Technology & Instrument and Meter Engineering, College of Electronic Science, Northeast Petroleum University)
Zheng, Yichuan (Institute of Advanced Network Technology and New Services, University of Science and Technology, Beijing (USTB))
Tu, Jiajing (Institute of Advanced Network Technology and New Services, University of Science and Technology, Beijing (USTB))
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.9, no.4, 2015 , pp. 1392-1403 More about this Journal
Abstract
The rapid development of both communication traffic and increasing optical network sizes has increased energy consumption. Traditional algorithms and strategies don't apply to controlling the expanded network. Immunization algorithms originated from the complex system theory are feasible for large-scale systems based on a scale-free network model. This paper proposes the immunization strategy for complex systems which includes random and targeted immunizations to solve energy consumption issues and uses traffic to judge the energy savings from the node immunization. The simulation results verify the effectiveness of the proposed strategy. Furthermore, this paper provides a possibility for saving energy with optical transmission networks.
Keywords
random immunization; targeted immunization; energy consumption; traffic; complex system;
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