DocumentCode
2551303
Title
A near optimal solution for network topology reconfigurations with limited link resources
Author
Li, Li ; Jia, Qing-Shan ; Wang, Heng-Tao ; Yuan, Ruixi ; Guan, Xiaohong
Author_Institution
SKLMS Lab., Xi´´an Jiaotong Univ., Xi´´an, China
fYear
2011
fDate
21-25 June 2011
Firstpage
489
Lastpage
494
Abstract
As a promising approach to improve network survivability, reliability and flexibility, topology reconfiguration is extremely important for modern networked infrastructures. In particular, for an existing network and a limited set of newly available resources, it is valuable to determine how to optimally allocate the new resources, such that the resulting network is the most robust and efficient. In this paper, we investigate the problem of network topology reconfiguration (NTR) optimization with limited link resources. A dynamic robustness metric is developed to quantitatively characterize the network robustness and efficiency. We show that the NTR optimization with limited link resources is NP-complete. Therefore, to approximately solve the problem, we develop a preferential configuration node-protecting cycle (PCNC) scheme for sequential link additions. Analysis showed that the PCNC scheme provide an approximate optimal solution under the dynamic robustness metric. Simulation results also showed that the PCNC scheme effectively improves the network robustness and efficiency at the cost of least added link resources.
Keywords
optimisation; telecommunication network reliability; telecommunication network topology; NP-complete problem; NTR optimization; PCNC scheme; dynamic robustness metric; link resources; network flexibility; network reliability; network survivability; network topology reconfiguration; preferential configuration node-protecting cycle; Algorithm design and analysis; Approximation algorithms; Heuristic algorithms; Measurement; Network topology; Optimization; Robustness; link resources; network robustness; network topology reconfiguration; optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2011 9th World Congress on
Conference_Location
Taipei
Print_ISBN
978-1-61284-698-9
Type
conf
DOI
10.1109/WCICA.2011.5970562
Filename
5970562
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