• DocumentCode
    2845415
  • Title

    A Constant-Approximation for Maximum Weight Independent Set of Links under the SINR Model

  • Author

    Wang, Lixin ; Abubucker, C.P. ; Lawless, Williams F. ; Baker, Anthony J.

  • Author_Institution
    Dept. of Math., Sci. & Technol., Paine Coll., Augusta, GA, USA
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    9
  • Lastpage
    14
  • Abstract
    In this paper we study the following optimization problem in a plane multihop wireless network under the physical interference model. Given a multihop wireless network and a positive link weight (or demand) function, select a set of independent links whose total weight is maximized. This problem is known to be NP-hard. The best known approximation algorithm for this problem achieves logarithmic factor approximation with power control. In this work, we present a constant-approximation algorithm for the problem with the power assignment specified in this paper when the link weight-to-length ratio is bounded. Moreover, our constant-approximation bound is valid regardless of the value of the noise power and the lengths of the communication links.
  • Keywords
    approximation theory; optimisation; radio links; radiofrequency interference; set theory; NP-hard problem; SINR model; communication link; constant approximation algorithm; independent link; link weight-to-length ratio; logarithmic factor approximation; maximum weight independent set; optimization problem; physical interference model; plane multihop wireless network; positive link weight function; power assignment; power control; Algorithm design and analysis; Approximation algorithms; Approximation methods; Interference; Noise; Spread spectrum communication; Wireless networks; Physical interference model; approximation algorithm; link scheduling; maximum independent set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Ad-hoc and Sensor Networks (MSN), 2011 Seventh International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4577-2178-6
  • Type

    conf

  • DOI
    10.1109/MSN.2011.1
  • Filename
    6117388