Name
Abstract | ||
|---|---|---|
In this paper, we investigate the joint optimization of power, electricity cost and propagation delay in IP over WDM networks employing renewable energy. We develop a mixed integer linear programming (MILP) model to jointly minimize the three parameters and compare its results to the results of optimizing these parameters individually. The models results show that the joint optimization maintains the power consumption and electricity cost savings obtained by the non-renewable power-minimized and the electricity cost-minimized models while hardly affecting the propagation delay. Compared to the delay-minimized model, the joint optimization model achieves power consumption and electricity cost savings of 73% and 74%, respectively under the non-bypass approach considering a unicasting traffic profile. The power and cost savings under an anycasting traffic profile increases to 82%. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICC.2013.6654885 | ICC |
Keywords | Field | DocType |
electricity cost saving,ip networks,power optimization,ip over wdm network,power consumption,delay minimized model,wavelength division multiplexing,renewable energy,optical fibre networks,nonrenewable power minimization,integer programming,telecommunication power management,renewable energy sources,linear programming,joint optimization,propagation delay,mixed integer linear programming,electricity cost-minimized model,milp,optimization,electricity | Wavelength-division multiplexing,Mathematical optimization,Renewable energy,Propagation delay,Electricity cost,Computer science,Electricity,Integer programming,Linear programming,Power consumption | Conference |
ISSN | Citations | PageRank |
1550-3607 | 2 | 0.70 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaowen Dong | 1 | 249 | 22.07 |
| Taisir E. H. El-Gorashi | 2 | 37 | 12.43 |
| J. M.H. Elmirghani | 3 | 591 | 110.47 |