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In this paper, we describe a practical test bed and realization of distributed-sensing algorithm for optimized channel selection. The proposed method is tailored to the IEEE 802.11-based networks and could be highly beneficial for increasing efficiency and reliability of data communications with personal devices and in sensor networks deployed in challenging ISM band environments such as may be seen in hospitals and industrial settings. The test bed is being realized employing the CRC CORAL Cognitive Radio platform. The proposed algorithm for an optimized channel selection is based on a model that combines standard spectrum loading and channel use evaluation parameters, which allows fast and efficient selection of the most suitable channel for transmission. Moreover, the collected radio environment data from several sensing nodes could be stored for future real-time referencing in spectrum access decision making.

Cognitive Radio test bed for optimized channel selection in IEEE 802.11-based networks