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
Link To Document :
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