Cluster-based efficient information dissemination in dynamic networks

Author:

Yang Zhiwei12,Wu Weigang23,Li Yong23,Chen Yishun23

Affiliation:

1. College of Computational Science, Zhongkai University of Agriculture and Engineering, Guangzhou, China

2. School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China

3. Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China

Abstract

Dynamic network is an abstraction of networks with frequent topology changes arising from node mobility or other reasons. In this article, we first propose a dynamic network model, named ( T, L)-HiNet, to extend existing dynamic network models with clusters. ( T, L)-HiNet includes several properties defining the stability of cluster hierarchy in a dynamic network, including cluster head set, cluster member set and the connections among them. Based on ( T, L)-HiNet, we design several hierarchical information dissemination algorithms for different scenarios of dynamics. Furthermore, we extend the ( T, L)-HiNet model and corresponding algorithms in two directions, that is, stability of cluster head set and cluster size. The correctness of our algorithms is proved rigorously, and their performance is evaluated via both numerical analysis and simulations. The results show that compared with the algorithm recently proposed by Kuhn et al., our design can significantly reduce communication cost and also time cost.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Guangzhou Science and Technology Bureau

MOE-CMCC Joint Research Fund of China

National Key Research and Development Program of China

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

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