• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

A Hierarchical Autonomous System Based Topology Control Algorithm in Space Information Network

Vol. 9, No. 9, September 29, 2015
10.3837/tiis.2015.09.016, Download Paper (Free):

Abstract

This article investigates the topology control problem in the space information network (SIN) using a hierarchical autonomous system (AS) approach. We propose an AS network topology control (AS-TC) algorithm to minimize the time delay in the SIN. Compared with most existing approaches for SIN where either the purely centralized or the purely distributed control method is adopted, the proposed algorithm is a hybrid control method. In order to reduce the cost of control, the control message exchange is constrained among neighboring sub-AS networks. We prove that the proposed algorithm achieve logical k-connectivity on the condition that the original physical topology is k-connectivity. Simulation results validate the theoretic analysis and effectiveness of the AS-TC algorithm.


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Cite this article

[IEEE Style]
W. Zhang, G. Zhang, L. Gou, B. Kong, D. Bian, "A Hierarchical Autonomous System Based Topology Control Algorithm in Space Information Network," KSII Transactions on Internet and Information Systems, vol. 9, no. 9, pp. 3572-3593, 2015. DOI: 10.3837/tiis.2015.09.016.

[ACM Style]
Wei Zhang, Gengxin Zhang, Liang Gou, Bo Kong, and Dongming Bian. 2015. A Hierarchical Autonomous System Based Topology Control Algorithm in Space Information Network. KSII Transactions on Internet and Information Systems, 9, 9, (2015), 3572-3593. DOI: 10.3837/tiis.2015.09.016.

[BibTeX Style]
@article{tiis:20893, title="A Hierarchical Autonomous System Based Topology Control Algorithm in Space Information Network", author="Wei Zhang and Gengxin Zhang and Liang Gou and Bo Kong and Dongming Bian and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2015.09.016}, volume={9}, number={9}, year="2015", month={September}, pages={3572-3593}}