Simple approximation algorithms and PTASs for various problems in wireless ad hoc networks

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Abstract

A wireless ad hoc network is often composed of a set V of n wireless devices distributed in a two-dimensional domain. For each wireless device (also called node) uV, there is a transmission region within which signal-to-noise-ratio (SNR) is at least a threshold γ so that the signal transmitted by u can be correctly received by other nodes with high probability. The transmission region is often modeled as a disk centered at the node u. In addition, for each node u, there is an interference region within which the transmission from u makes the signal-to-interference-and-noise-ratio (SINR) of the legitimate receiver smaller than the threshold γ so that the legitimate receiver cannot correctly receive the message from the legitimate transmitter.

In this paper, we first present new graph models to model the communication graphs and the interference graphs defined by wireless ad hoc networks with attention to interference-free channel assignment or scheduling. Then we propose some simple approximation algorithms and/or PTASs (polynomial time approximation scheme) to approximate several classical graph problems such as maximum independent set, minimum vertex cover and minimum vertex coloring in these graph models. In addition, we also discuss various possible applications for these simple approximation algorithms and/or PTASs in wireless ad hoc networks.

Section snippets

Dr. Xiang-Yang Li has been an Assistant Professor of Computer Science at the Illinois Institute of Technology since 2000. He obtained his M.S. (2000) and Ph.D. (2001) degrees in Computer Science from the University of Illinois at Urbana-Champaign. He received his Bachelor degree in Computer Science and Bachelor degree in Business Management from the Tsinghua University, PR China in 1995. His research interests span wireless ad hoc and sensor networks, non-cooperative computing, computational

References (53)

  • H. Breu et al.

    Unit disk graph recognition is NP-hard

    Comput. Geom. Theory Appl.

    (1998)
  • B. Clark et al.

    Unit disk graphs

    Discrete Math.

    (1990)
  • D.S. Hochbaum

    Efficient bounds for the stable set, vertex cover, and set packing problems

    Discrete Appl. Math.

    (1983)
  • G. Szekeres et al.

    An inequality for the chromatic number of a graph

    J. Combin. Theory

    (1968)
  • K. Alzoubi et al.

    Geometric spanners for wireless ad hoc networks

    IEEE Trans. on Parallel Distrib. Process.

    (2003)
  • K.M. Alzoubi et al.

    New distributed algorithm for connected dominating set in wireless ad hoc networks

  • A.D. Amis et al.

    Load-balancing clusters in wireless ad hoc networks

  • S. Basagni

    Distributed clustering for ad hoc networks

  • S. Basagni

    Finding a maximal weighted independent set in wireless networks

    Telecommunication Systems, Mobile Comput. Wireless Networks

    (2001)
  • C. Bettstetter et al.

    Scenario-based stability analysis of the distributed mobility-adaptive clustering (DMAC) algorithm

  • T. Chan, Polynomial-time approximation schemes for packing and piercing fat objects, 2001, J. Algorithms, submitted for...
  • M. Chatterjee et al.

    A weight based distributed clustering algorithm for mobile ad hoc networks

  • M. Chatterjee et al.

    WCAA weighted clustering algorithm for mobile ad hoc networks

    J. Cluster Comput.

    (2002)
  • X. Cheng et al.

    Polynomial-time approximation scheme for minimum connected dominating set in ad hoc wireless networks

    Networks

    (2003)
  • X. Cheng, B. Narahari, R. Simha, M.X. Cheng, D. Liu, Strong minimum energy topology in wireless sensor networks:...
  • B. Das et al.

    Routing in ad-hoc networks using minimum connected dominating sets

  • O. Egecioglu et al.

    Minimum-energy broadcast in simple graphs with limited node power

  • T. Erlebach et al.

    Polynomial-time approximation schemes for geometric graphs

  • M.C. Golumbic

    Algorithmic Graph Theory and Perfect Graphs

    (1980)
  • I. Harry et al.

    NC-approximation schemes for NP- and PSPACE-hard problems for geometric graphs

    J. Algorithms

    (1998)
  • D.S. Hochbaum et al.

    Approximation schemes for covering and packing problems in image processing and vlsi

    J. Assoc. Comput. Mach.

    (1985)
  • O. Kachirski et al.

    Intrusion detection using mobile agents in wireless ad hoc networks

  • J.M. Keil, D. Schaefer, An optimal algorithm for finding dominating cycles in circular-arc graphs, Discrete Appl. Math....
  • U.C. Kozat et al.

    Virtual dynamic backbone for mobile ad hoc networks

  • V.S.A. Kumar et al.

    End-to-end packet-scheduling in wireless ad-hoc networks

  • J. Li et al.

    Capacity of ad hoc wireless networks

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    Dr. Xiang-Yang Li has been an Assistant Professor of Computer Science at the Illinois Institute of Technology since 2000. He obtained his M.S. (2000) and Ph.D. (2001) degrees in Computer Science from the University of Illinois at Urbana-Champaign. He received his Bachelor degree in Computer Science and Bachelor degree in Business Management from the Tsinghua University, PR China in 1995. His research interests span wireless ad hoc and sensor networks, non-cooperative computing, computational geometry, optical networks, and cryptography. Recently, he focuses on performing research on the cooperation, energy efficiency, and distributed algorithms for wireless ad hoc and sensor networks. He has published about 60 conference papers in top-quality conferences such as ACM MobiCom, ACM MobiHoc, ACM SODA, ACM STOC, IEEE INFOCOM, etc. He has more than 30 journal papers published or accepted for publication. He has been a Guest Editor of special issues for ACM Mobile Networks and Applications, IEEE Journal on Selected Areas in Communications. He is a Member of the ACM and IEEE.

    Dr. Yu Wang is an Assistant Professor in the Department of Computer Science, University of North Carolina at Charlotte. He received his Ph.D. degree in Computer Science from the Illinois Institute of Technology in 2004, his B.S. degree and M.S. degrees in Computer Science from the Tsinghua University, China, in 1998 and 2000. His current research interests include computer networks, wireless networks, mobile computing, algorithm design, and artificial intelligence. His recent work focuses on designing power–efficient algorithms for wireless ad hoc networks and sensor networks. He has published more than 40 papers in peer-reviewed journals and conferences. He has served as a program committee member for several conferences (such as IEEE INFOCOM, IEEE GLOBECOM, IEEE MASS, IEEE ICCCN, etc.). His paper titled ”Sparse Power Efficient Topology for Wireless Networks” won a Best Paper Award from the 35th IEEE Hawaii International Conference on System Sciences in 2002. He is a Member of the ACM, IEEE, and SIAM.

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    The author is partially supported by NSF CCR-0311174.

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