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An efficient connected dominating set algorithm in WSNs based on the induced tree of the crossed cube Cover

An efficient connected dominating set algorithm in WSNs based on the induced tree of the crossed cube

By: Jing Zhang,  Shu-Ming Zhou,  Li Xu,  Wei Wu and  Xiucai Ye  
Open Access
|Jun 2015

Abstract

The connected dominating set (CDS) has become a well-known approach for constructing a virtual backbone in wireless sensor networks. Then traffic can forwarded by the virtual backbone and other nodes turn off their radios to save energy. Furthermore, a smaller CDS incurs fewer interference problems. However, constructing a minimum CDS is an NP-hard problem, and thus most researchers concentrate on how to derive approximate algorithms. In this paper, a novel algorithm based on the induced tree of the crossed cube (ITCC) is presented. The ITCC is to find a maximal independent set (MIS), which is based on building an induced tree of the crossed cube network, and then to connect the MIS nodes to form a CDS. The priority of an induced tree is determined according to a new parameter, the degree of the node in the square of a graph. This paper presents the proof that the ITCC generates a CDS with a lower approximation ratio. Furthermore, it is proved that the cardinality of the induced trees is a Fibonacci sequence, and an upper bound to the number of the dominating set is established. The simulations show that the algorithm provides the smallest CDS size compared with some other traditional algorithms.

DOI: https://doi.org/10.1515/amcs-2015-0023 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 295 - 309
Submitted on: Jan 3, 2014
Published on: Jun 25, 2015
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2015 Jing Zhang, Shu-Ming Zhou, Li Xu, Wei Wu, Xiucai Ye, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.