Abstract:

In view of high energy consumption and low quality of service existing in the access control process of the cognitive wireless sensor networks, a cognitive adaptive access control strategy is proposed. Firstly, the access control strategy model is established, and representative nodes are used to reduce the energy consumption and communication overhead. Secondly, a new adaptive method of sensing model selection and duty cycle adjustment is proposed to improve the sensing efficiency, and the influence on the system throughput and frame delivery rate are analyzed deeply. Finally, the simulation results show that the proposed access control strategy needs less communication overhead and has higher throughputs compared with the existing methods under the condition of achieving the same detection target, and the loss of the quality of service caused by avoiding the primary user is less.