Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Measurement-based characterization of 802.11 in a hotspot setting
Proceedings of the 2005 ACM SIGCOMM workshop on Experimental approaches to wireless network design and analysis
Understanding congestion in IEEE 802.11b wireless networks
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Self-management in chaotic wireless deployments
Wireless Networks
White space networking with wi-fi like connectivity
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
CoCast: multicast mobile ad hoc networks using cognitive radio
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
In-Band Spectrum Sensing in IEEE 802.22 WRANs for Incumbent Protection
IEEE Transactions on Mobile Computing
Rate Adaptation in Congested Wireless Networks through Real-Time Measurements
IEEE Transactions on Mobile Computing
Sensing-Throughput Tradeoff for Cognitive Radio Networks
IEEE Transactions on Wireless Communications
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The emergence of multi-channel wireless networks and cognitive radio networks has rendered dynamic channel selection an important task, and many existing channel selection schemes factor in the amount of wireless activities that take place in each channel, or channel load, to achieve load balance and maximize the utilization of wireless resources. In such environments, a monitoring node must sense the channel to estimate the channel load, yet when the node is equipped with a single radio interface, in which case the lone interface must be used for both channel sensing and data communication, there can be only a fixed amount of time allotted to channel sensing. In this paper, we show that a careful scheduling of channel sensing is needed to improve the accuracy of channel load estimation, and based on our findings, we devise a sensing strategy that minimizes the estimation error. Evaluation shows that our scheme can reduce the relative estimation error by as much as 40% in a heavily loaded channel environment.