Body area network real-time data processing method and system based on fog computing and blockchain

Abstract

The invention discloses a real-time data processing method of a body area network based on fog computing and block chain, including: establishing a fog computing layer, the fog computing layer is composed of a body area network gateway node and other fog nodes; deploying an internal block chain, Use the body area network gateway node and other fog nodes directly connected to the body area network gateway node as the nodes of the inner blockchain; deploy the outer blockchain, and use other fog nodes as nodes of the outer blockchain; among them, get health data , and upload the health data to the inner block chain and the outer block chain, and the inner block chain and the outer block chain use the PoI algorithm to select the bookkeeping node. The PoI algorithm includes: replacing the random number in the PoW algorithm with a competitive The device identification information and current timestamp information of the node with the bookkeeping right. The present invention uses a combination of two-layer block chain and fog computing layer to process health data, which effectively improves the security of health data and reduces the time delay of health data, especially emergency health data.

Description

technical field [0001] The invention relates to the field of body area network intelligent medical treatment. More specifically, the present invention relates to a real-time data processing method and system for a body area network based on fog computing and blockchain. Background technique [0002] As a special type of wireless sensor network, body area network has gained extensive attention from all walks of life in the fields of intelligent medical care. The body area network is generally composed of sensors deployed in the body, on the body surface or near the body surface, through which the body temperature, blood pressure, electroencephalogram, electrocardiogram and other physiological parameters are obtained. In traditional applications, these physiological parameters are generally collected through human gateway nodes such as mobile phones, and are simply analyzed and displayed and notified by users, or sent to the remote cloud for further analysis, so as to provide...

AI Technical Summary

Problems solved by technology

However, due to the openness of the Internet, the above-mentioned cloud-based remote intelligent medical system is facing more and more security threats

In addition, due to the remote geographical location of the remote cloud, it will cause a large round-trip communication delay, and due to the unpredictability of Internet network performance, such as network congestion or network unreachability, etc., it will cause body area network data In an emergency, real-time transmission cannot be performed, which poses a serious threat to the patient's life safety

Therefore, the traditional cloud computing-based body area network intelligent medical system needs to be improved urgently in terms of security and real-time indicators.

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