Energy and channel allocation method and device for a multi-hop cognitive wireless network

Abstract

The invention discloses a method and device for energy and channel allocation of a multi-hop cognitive wireless network. The method includes: S1. Obtaining energy queues, data queues and preset virtual queues of IoT nodes; the virtual queues are used to control The data delay of the Internet of Things node; S2. constructing the offset impairment function of Lyapunov function according to the energy queue, data queue and virtual queue; S3. to minimize the linear upper bound of the offset impairment function As an optimization target, the linear upper bound of the offset impairment function is optimized to obtain the energy obtained by the Internet of Things node from the environment, the collected data, the amount of discarded data, and the link channel allocation; S4. The energy harvested in the environment, the collected data, the amount of discarded data, and the link channel allocation are distributed to the IoT nodes. It has the advantages of effectively reducing the maximum finite delay of IoT nodes and better optimizing network efficiency.

Description

technical field [0001] The present invention relates to the technical field of the Internet of Things, in particular to a method and device for energy and channel allocation of a multi-hop cognitive wireless network. Background technique [0002] With the vigorous development of Internet of Things (IoT) technology, the era of interconnection of all things is coming. As one of the key technologies in the sensing layer of the Internet of Things, radio technology is crucial to promoting the development of the Internet of Things. However, the blowout development of radio application technology has made spectrum a scarce resource. In order to make full use of spectrum resources, the academic community has proposed a cognitive radio network, which allows unlicensed users to use the idle spectrum in an opportunistic access manner. In addition, due to the broadcast nature of wireless channels, multiple unlicensed users may interfere with each other when accessing the same idle spe...

AI Technical Summary

Problems solved by technology

[0005] At present, there has been some research on the channel allocation scheme of cognitive radio network, but the existing research only considers a certain problem of cognitive wireless network in the application of the Internet of Things, and it is difficult to realize that cognitive wireless network considers link Optimization of conflict issues, multi-hop issues, energy consumption issues, joint channel allocation issues, delay issues, etc.

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