Sensing Users Selection with Overhead Reduction for Cognitive Wireless Ad-Hoc Networks

Cognitive Wireless Ad-Hoc Networks use cooperation in order to sense the spectrum accurately. However, the space diversity provided by the cooperative sensing is only efficient when the sensing users are selected appropriately. This paper proposes a distributed probability-based mechanism that allows the Secondary Users to decide what channels should be sensed by each user in order to reduce the sensing overhead.

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