Title: Constructing minimum interference connected dominating set for multi-channel multi-radio multi-hop wireless network

Authors: Shan Shan; Weili Wu; Wei Wang; Hongjie Du; Xiaofeng Gao; Ailian Jiang

Addresses: Department of Computer Science, University of Texas at Dallas, Richardson, TX 75080, USA. ' Department of Computer Science, University of Texas at Dallas, Richardson, TX 75080, USA. ' Department of Mathematics, Xi'an Jiaotong University, Xi'an, China. ' Department of Computer Science, University of Texas at Dallas, Richardson, TX 75080, USA. ' Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China. ' Department of Computer Science, Taiyuan University of Technology, Taiyuan, China

Abstract: Multi-hop wireless networks have no fixed physical backbone infrastructure, so Connected Dominating Set (CDS) is frequently selected as virtual backbone to improve network efficiency. Interference is a big problem which prevents wireless networks from reaching efficiency; however, previous works construct CDS as virtual backbone without consideration of interference. In this paper, we consider the problem of how to construct Minimum Interference Connected Dominating Set (MICDS) in multi-channel multi-radio multi-hop wireless networks. Multi-channel communication helps to reduce interference and improve network performance. A two-phase algorithm named MIS-colouring is presented for MICDS problem, and theoretical analysis is also given. However, due to the characteristics of the problem itself, it is quite difficult to compute the approximation ratio for MIS-colouring. Simulation results show that through proper CDS structure selection and channel assignment, MIS-colouring algorithm can minimise the total interference of CDS as a virtual backbone for multi-channel multi-radio multi-hop wireless networks.

Keywords: wireless sensor networks; MSNs; virtual backbone; interference; multi-channel wireless networks; network efficiency; connected dominating sets; channel assignment.

DOI: 10.1504/IJSNET.2012.045961

International Journal of Sensor Networks, 2012 Vol.11 No.2, pp.100 - 108

Available online: 19 Mar 2012 *

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