The document describes an autonomous sensing order selection strategy for cognitive radio networks. The strategy allows multiple cognitive radios to sense channels sequentially for spectrum opportunities in an uncoordinated manner. The proposed adaptive persistent sensing order selection strategy reduces the likelihood of collisions between autonomous cognitive radios compared to random selection. When the number of cognitive radios is less than or equal to the number of channels, the strategy enables the radios to converge to collision-free channel sensing orders. The adaptive persistent strategy also reduces the expected time to arrive at collision-free orders compared to a randomize-after-collision strategy.

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AUTONOMOUS SENSING ORDER SELECTION STRATEGIES EXPLOITING
CHANNEL ACCESS INFORMATION
ABSTRACT:
We design an efficient sensing order selection strategy for a distributed cognitive radio (CR)
network, where two or more autonomous CRs sense the channels sequentially (in some sensing
order) for spectrum opportunities. We are particularly interested in the case where CRs with false
alarms autonomously select the sensing orders in which they visit channels, without coordination
from a centralized entity.
We propose an adaptive persistent sensing order selection strategy and show that this strategy
converges and reduces the likelihood of collisions among the autonomous CRs as compared to a
random selection of sensing orders. We also show that, when the number of CRs is less than or
equal to the number of channels, the proposed strategy enables the CRs to converge to collisionfree channel sensing orders.
The proposed adaptive persistent strategy also reduces the expected time of arrival at collisionfree sensing orders as compared to the randomize after every collision strategy, in which a CR,
upon colliding, randomly selects a new sensing order.