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Aiming at the current shortage of spectrum resources and insufficient energy supply in wireless sensor networks, this paper constructs a new type of cognitive multicast wireless sensor network, and studies the cooperative transmission of information and energy suitable for this network. Taking the sum energy collected by all secondary users in the network as the optimization goal, combined with the multicast technology, under the constraints of the interference of the secondary users to the primary user, the signal-to-interference noise ratio of the secondary user, and the transmit power of the secondary transmitter, the A nonlinear nonconvex optimization problem is presented. Aiming at this optimization problem, an algorithm based on positive semi-definite relaxation is proposed to prolong the lifetime of the network. On this basis, an optimization algorithm based on sequential parameter convex approximation technique is proposed to reduce the complexity. Simulation results show that the proposed algorithm can effectively improve the performance of secondary user energy harvesting.