Separability and topology control of quasi unit disk graphs

  • Authors:
  • Jianer Chen;Anxiao (Andrew) Jiang;Iyad A. Kanj;Ge Xia;Fenghui Zhang

  • Affiliations:
  • Department of Computer Science and Engineering, Texas A&M University, College Station, USA 77843;Department of Computer Science and Engineering, Texas A&M University, College Station, USA 77843;School of CTI, DePaul University, Chicago, USA 60604;Department of Computer Science, Lafayette College, Easton, USA 18042;Google Kirkland, Kirkland, USA 98033

  • Venue:
  • Wireless Networks
  • Year:
  • 2011

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Abstract

A deep understanding of the structural properties of wireless networks is critical for evaluating the performance of network protocols and improving their designs. Many protocols for wireless networks--routing, topology control, information storage/retrieval and numerous other applications--have been based on the idealized unit-disk graph (UDG) network model. The significant deviation of the UDG model from many real wireless networks is substantially limiting the applicability of such protocols. A more general network model, the quasi unit-disk graph (quasi-UDG) model, captures much better the characteristics of wireless networks. However, the understanding of the properties of general quasi-UDGs has been very limited, which is impeding the designs of key network protocols and algorithms. In this paper, we present results on two important properties of quasi-UDGs: separability and the existence of power efficient spanners. Network separability is a fundamental property leading to efficient network algorithms and fast parallel computation. We prove that every quasi-UDG has a corresponding grid graph with small balanced separators that captures its connectivity properties. We also study the problem of constructing an energy-efficient backbone for a quasi-UDG. We present a distributed local algorithm that, given a quasi-UDG, constructs a nearly planar backbone with a constant stretch factor and a bounded degree. We demonstrate the excellent performance of these auxiliary graphs through simulations and show their applications in efficient routing.