Title: A layer-based algorithm for the construction of connected dominating set in WSNs

Authors: Jun Zhang; Yong Tang; Zhang Jun; Wenyong Wang

Addresses: School of Computer Science and Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave., West Hi-Tech Zone, 611731, Chengdu, Sichuan, China ' School of Computer Science and Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave., West Hi-Tech Zone, 611731, Chengdu, Sichuan, China ' School of Computer Science and Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave., West Hi-Tech Zone, 611731, Chengdu, Sichuan, China ' School of Computer Science and Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave., West Hi-Tech Zone, 611731, Chengdu, Sichuan, China

Abstract: A small-sized virtual backbone is desirable to optimise the performance of wireless sensor networks. It is equivalent mathematically to the connected dominating set (CDS) in a graph. In this paper, we propose a layer-based algorithm for the construction of connected dominating set (LCDS). The algorithm divides the network into multiple layers according to the hop counts from a selected source node. Within each layer a local dominating set is constructed by greedy method in distributed manner to cover all the nodes in the next layer and the union of the dominating sets from all layers composes the CDS of the entire network. The experimental results show that LCDS algorithm generates a smaller CDS with less communication overhead even in high node density scenarios and its size varies relatively little with the rapid increase in node density.

Keywords: wireless sensor networks; WSNs; connected dominating set; CDS; virtual backbone; layer-based algorithms; node density.

DOI: 10.1504/IJAACS.2015.069568

International Journal of Autonomous and Adaptive Communications Systems, 2015 Vol.8 No.2/3, pp.320 - 331

Received: 05 Jan 2013
Accepted: 13 Apr 2013
Published online: 27 May 2015 *

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