• Title of article

    Improving densely deployed wireless network performance in unlicensed spectrum through hidden-node aware channel assignment

  • Author/Authors

    Manitpornsut، نويسنده , , Suparerk and Landfeldt، نويسنده , , Bjِrn and Boukerche، نويسنده , , Azzedine، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2011
  • Pages
    16
  • From page
    825
  • To page
    840
  • Abstract
    It is well known that a wireless local area network (WLAN) based on the IEEE 802.11 standard suffers from interference and scalability problems due to the limited number of non-overlapping channels. In order to mitigate the interference problem, channel assignment algorithms has been a popular research topic in recent years. It has been shown that such algorithms can greatly reduce the interference among wireless access points. However, in this paper, we show that previously proposed channel assignment algorithms may lead to an increased number of hidden nodes in dense network deployments. We also show that this can significantly decrease the performance of the network. Furthermore, we present results from experiments showing that the Request to send (RTS)/Clear to send (CTS) mechanism is unable to solve the hidden node problem in infrastructure WLANs, and therefore careful consideration needs to be taken when choosing channel assignment strategies in densely deployed wireless networks. To this end, we propose both a centralized channel assignment algorithm and a distributed channel assignment algorithm. Using a simulation study, we show that the proposed algorithms can outperform traditional channel assignment in densely deployed scenarios, in terms of QoS sensitive VoIP support without compromising the aggregate throughput, and that they are therefore a better performing alternative in such settings.
  • Keywords
    Radio spectrum management , WIRELESS LAN , Wireless network performance , channel assignment
  • Journal title
    Performance Evaluation
  • Serial Year
    2011
  • Journal title
    Performance Evaluation
  • Record number

    1570641