Channel selection method for cognitive wireless sensor network

Abstract

The invention discloses a channel selection method for a cognitive wireless sensor network, comprising: acquiring network parameter information of the cognitive wireless sensor network; selecting whether to access the channel; calculating channel revenue of each channel; selecting a channel as an access channel; updating the system state; and finding the optimal channel selection combination to complete the channel selection of the cognitive wireless sensor network. By considering from the perspective of cognitive users, the invention designs the channel revenue function as an evaluation indexto evaluate the quality of channel selection, and guides the secondary user to select a channel with better channel quality to supply cognitive users to transmit data by continuously interacting andlearning with the environment, thereby reducing the number of channel switching times of the secondary user in the communication process, guaranteeing the quality of service of the cognitive user, andimproving the communication quality as well as spectrum utilization rate 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

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