By Topic

Distributed Cluster-Based Fault-Tolerant Topology Control for Space Information Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Ning Ye ; Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China ; Zhiliang Zhu ; Jun Liu ; Jiping Shi

Space information networks are a new type of self-organizing networks constituted by communication and information systems of land, sea, air and space. The performances of space information networks are closely related to their distinguishing characteristics such as large scale, high component complexity and high link redundancy. The paper proposed a distributed cluster-based and fault-tolerant topology control algorithm to construct a more efficient and failure-resistant topology for space information networks. Within each cluster, nodes discover local topology and compute appropriate transmitted powers reaching all nodes in their close vicinity through k optimal vertex-disjoint paths to achieve k-connectivity of the whole cluster. Between each pair of adjacent clusters, k disjoint links connecting the two clusters are maintained by finding out optimal matching of weighted bipartite graphs formed by topology of border nodes and their connections, which arranges inter-cluster relaying optimally. In the third phase, nodes adjust their transmitted power according to the logical topology generated by intra-cluster and inter-cluster topology control. Simulation results show performances such as invulnerability, reliability and validity are enhanced under the proposed topology control algorithm.

Published in:

Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2010 International Conference on

Date of Conference:

10-12 Oct. 2010