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Minimum Total Communication Power Connected Dominating Set in Wireless Networks

  • Conference paper
Wireless Algorithms, Systems, and Applications (WASA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7405))

Abstract

A virtual backbone of a wireless network is a connected subset of nodes responsible for routing messages in the network. A node in the subset is likely to be exhausted much faster than the others due to its heavy duties. This situation can be more aggravated if the node uses higher communication power to form the virtual backbone. In this paper, we introduce the minimum total communication power connected dominating set (MTCPCDS) problem, whose goal is to compute a virtual backbone with minimum total communication power. We show this problem is NP-hard and propose two distributed algorithms. Especially, the first algorithm, MST-MTCPCDS, has a worst case performance guarantee. A simulations is conducted to evaluate the performance of our algorithms.

This work was supported in part by the NSFC under Grants No. 61070191 and 91124001, the Fundamental Research Funds for the Central Universities,and the Research Funds of Renmin University of China 12XNH179, and Research Fund for the Doctoral Program of Higher Education of China No. 20100004110001. This work was also supported in part by US National Science Foundation (NSF) CREST No. HRD-0833184 and by US Army Research Office (ARO) No. W911NF-0810510. This work was partially supported by the NSF under Grant No. HRD-0833184, IIS-0513669, CCF-0621829, and CNS-0524429.

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Li, D., Kim, D., Zhu, Q., Liu, L., Wu, W. (2012). Minimum Total Communication Power Connected Dominating Set in Wireless Networks. In: Wang, X., Zheng, R., Jing, T., Xing, K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2012. Lecture Notes in Computer Science, vol 7405. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31869-6_11

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  • DOI: https://doi.org/10.1007/978-3-642-31869-6_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31868-9

  • Online ISBN: 978-3-642-31869-6

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