Minimal time broadcasting in cognitive radio networks

  • Authors:
  • Chanaka J. Liyana Arachchige;S. Venkatesan;R. Chandrasekaran;Neeraj Mittal

  • Affiliations:
  • Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, Richardson, TX;Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, Richardson, TX;Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, Richardson, TX;Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, Richardson, TX

  • Venue:
  • ICDCN'11 Proceedings of the 12th international conference on Distributed computing and networking
  • Year:
  • 2011

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Abstract

This paper addresses time-efficient broadcast scheduling problem in Cognitive Radio (CR) Networks. Cognitive Radio is a promising technology that enables the use of unused spectrum in an opportunistic manner. Because of the unique characteristics of CR technology, the broadcast scheduling problem in CR networks needs unique solutions. Even for single channel wireless networks, finding a minimum-length broadcast schedule is an NP-hard problem. In addition, the multi-channel nature of the CR networks, especially the non-uniform channel availability, makes it a more complex problem to solve. In this paper, we first present an Integer Linear Programming formulation (ILP) to determine the minimum broadcast schedule length for a CR network. We then present two heuristics to construct minimal length broadcast schedules. Comparison of optimal results (found by solving the ILP formulation) with the result of the heuristics through simulation shows that both heuristics produce schedules of either optimal or very closer to optimal lengths.