Cooperative spectrum sensing with sensing task allocation in cognitive radio networks
In the cooperative spectrum sensing with multi-primary-user, one secondary user may have different detection performance for different primary user, due to the different distance to the primary users. A novel idea for the cooperative sensing is to allocate the secondary users with excellent detection performance to sense the corresponding primary user. The sensing task allocation is based on this idea in this paper. We formulate the problem to an optimization problem, but its a NP-hard problem. Then we propose a greedy search algorithm with which have comparable performance with that of brute-force search and have much less computational complexity. At last, we analysis the impacts of the user number and the distance to the systemic cooperative sensing time, validating the advantage of sensing task allocation.