• DocumentCode
    798532
  • Title

    Design and analysis of an MST-based topology control algorithm

  • Author

    Li, Ning ; Hou, Jennifer C. ; Sha, Lui

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Illinois, Urbana, IL, USA
  • Volume
    4
  • Issue
    3
  • fYear
    2005
  • fDate
    5/1/2005 12:00:00 AM
  • Firstpage
    1195
  • Lastpage
    1206
  • Abstract
    In this paper, we present a minimum spanning tree (MST)-based algorithm, called local minimum spanning tree (LMST), for topology control in wireless multihop networks. In this algorithm, each node builds its LMST independently and only keeps on-tree nodes that are one-hop away as its neighbors in the final topology. We analytically prove several important properties of LMST: 1) the topology derived under LMST preserves the network connectivity; 2) the node degree of any node in the resulting topology is bounded by 6; and 3) the topology can be transformed into one with bidirectional links (without impairing the network connectivity) after removal of all unidirectional links. Simulation results show that LMST can increase the network capacity as well as reduce the energy consumption.
  • Keywords
    radio links; radio networks; telecommunication congestion control; telecommunication network topology; trees (mathematics); energy consumption reduction; local minimum spanning tree; network capacity; network connectivity; topology control; wireless multihop networks; Algorithm design and analysis; Capacitive sensors; Clustering algorithms; Collaboration; Communication system control; Energy consumption; Mobile ad hoc networks; Network topology; Spread spectrum communication; Wireless sensor networks; Graph theory; spatial reuse; topology control;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2005.846971
  • Filename
    1427709