Autonomous Clustering Scheme for Removing the Effects of Heterogeneous Node Degrees in Ad Hoc Networks

Author:

Morita Ryosuke1,Takano Chisa2,Aida Masaki1

Affiliation:

1. Graduate School of System Design, Tokyo Metropolitan University, Tokyo, 191-0065, Japan

2. Graduate School of Information Sciences, Hiroshima City University, Hiroshima, 731-3194, Japan

Abstract

Abstract In large scale mobile ad hoc networks (MANETs), it is effective to reduce the load of routing by introducing hierarchical routing, and it is conducted by clustering of nodes. A clustering mechanism based on the diffusion equation is a typical autonomous clustering in MANETs, and gives appropriate clustering if all the node degrees are uniform. However, node degrees in MANETs are heterogeneous in general, the fact causes the difference in the strength of diffusion effect. This difference causes that the position of cluster head tends to be around the boundary of networks and degrade battery efficiency of nodes. In this paper, by introducing an asymmetric diffusion depending on node degree, we propose a new clustering method independent of heterogeneity of node degrees. We show that the proposed method has efficient characteristics for battery consumption. In addition, we show the comparison of the proposed method with the conventional method with respect to the efficiency of routing.

Publisher

Walter de Gruyter GmbH

Reference10 articles.

1. [1] Aida, M. (2015). Distributed Control and Hierarchical Structure in Information Networks. Corona Publishing Co. Ltd. (in Japanese)

2. [2] Belding-Royer, E. M. (2002). Hierarchical routing in ad hoc mobile networks. Wireless Communications and Mobile Computing, 2(5), 515–532

3. [3] Clark, B.N., Colbourn, C.J., Johnson, D.S. (1990). Unit disk graphs. Discrete mathematics, 86(1-3), 165–177

4. [4] Clausen, T., Jacquet, P. (2003). Optimized link state routing protocol (OLSR) (No. RFC 3626)

5. [5] Kakuda, Y., Ohta, T., Fujimoto, M., Oda, R. (2004). A Class of Hierarchical Routing Protocols Based on Autonomous Clustering for Large Mobile Ad Hoc Networks. IEICE transactions on communications, 87(9), 2500

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