Channel Selection Method for Cognitive Wireless Sensor Networks

Abstract

The invention discloses a channel selection method of a cognitive wireless sensor network, which includes acquiring network parameter information of a cognitive wireless sensor network; selecting whether to access the channel; calculating channel income of each channel; selecting a channel as an access channel ;Update the system state; Find the optimal channel selection combination to complete the channel selection of cognitive wireless sensor network. Considering from the perspective of cognitive users, the present invention designs a channel revenue function as an evaluation index to evaluate the quality of channel selection, and through continuous interaction and learning with the environment, guides secondary users to select channels with better channel quality for cognitive users to transmit data, thereby The frequency of channel switching of the secondary user in the communication process is reduced, the service quality of the cognitive user is guaranteed, and the communication quality and spectrum utilization rate are improved while reducing the interference to the primary user.

Description

technical field [0001] The invention specifically relates to a channel selection method of a cognitive wireless sensor network. Background technique [0002] With the continuous development of science and technology, information technology is also changing with each passing day, wireless sensor networks have been widely used, such as smart home, smart city, military, anti-terrorism, disaster relief, environmental monitoring and other fields. Since the wireless sensor network is composed of a large number of cheap miniature sensor nodes, the communication between the nodes uses the unlicensed spectrum, and the number of devices using the unlicensed spectrum increases exponentially with the development of wireless communication technology, resulting in congestion. The reliability cannot be guaranteed, which greatly limits the development of wireless sensor networks. Introducing cognitive radio technology into the sensor network is currently the best way to solve the above pro...

AI Technical Summary

Problems solved by technology

Most of the current work assumes that the cognitive user (SU) can obtain accurate information of the PU in the channel selection strategy, and it will not change within a unit time t. However, in practice, it is difficult for the SU to obtain accurate information about the PU, and the PU It is possible to re-occupy the channel within the unit time t. If the channel is randomly selected from the idle channel set for access, it is very likely to select a channel frequently used by the PU, which will increase the collision rate between the PU and the SU, resulting in the channel failure of the SU. The switching becomes frequent, which increases the delay and affects the system throughput, and the system performance will be significantly reduced due to the huge cost of frequent channel switching

Images