Mobile video monitoring system based on cognitive radio and method thereof

Abstract

The invention provides a mobile video monitoring system based on cognitive radio. The mobile video monitoring system comprises a control center and a mobile terminal. The control center is wirelessly communicated with the mobile terminal through an ISM frequency band. The control center is used for monitoring communication quality and determining whether spectrum sensing and channel switching need to be carried out or not according to the communication quality. If data transmission between the mobile terminal and the control center cannot be recovered through the channel switching, the data transmission of the mobile terminal is relayed through a relay robot. The invention further provides a mobile video monitoring method. According to the mobile video monitoring system and the method, the unfixed communication frequency band is adopted, and in the ISM frequency band, channel interference is automatically sensed and avoided, and the interference problem is solved. The wireless signal fading problem is solved through power control and relay transferring, and therefore the real-time performance and reliability of video transmission are guaranteed. The mobile video monitoring system and the method do not depend on the coverage of the commercial wireless network, and have actual application significance in video monitoring in the emergency environment, the severe environment and the unknown environment.

Description

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AI Technical Summary

Benefits of technology

The technical effect that this technology provides overcomes previous methods where only one network covers certain areas or services while others are still being used. This makes it useful even when there may exist multiple communication systems within an area covered by different types of radios (such as cellular).

Problems solved by technology

In this patented technical problem addressed by these inventors relates to improving the performance of video surveillaings during critical situations like fires, terrorist attacks, environmental hazards, industrial accidents, and public safety concerns where there could potentially exist hidden locations within minutes after hours. Current solutions require costly infrastructure installation, time-consumption, limited range, and lacked situational awareness capabilities.

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