Radiofrequency energy source optimal deployment method for supplying energy to body area network node

Abstract

The invention discloses a radiofrequency energy source optimal deployment method for supplying energy to a body area network node. The method comprises the following steps: modeling a mobility pattern of a user into a graph constructed by residence points and track edges; and iteratively calculating the position of a new energy source in stages according to different target functions, wherein charging power of the body area network node on all residence points is higher than energy consumption power under the action of the new energy source in a first stage, maximum energy accumulated net consumption values of all track edges do not exceed an energy storage element capacity of the node under the action of the new energy source in a second stage, and an actual energy non-interruption probability of the body area network node meets a system requirement under the action of the new energy source in a third stage. The method is suitable for scenes in which the body area network node can be charged through capture of radiofrequency energy; the energy source can be deployed reasonably according to the mobility pattern of the user; an energy non-interruption requirement of a system is met; and the deployment cost is lowered.

Description

technical field [0001] The invention relates to a method for optimal deployment of a radio frequency energy source for supplying energy to nodes of a body area network, and the method is suitable for a body area network that captures radio frequency energy. Background technique [0002] With the development of wearable technology and wireless communication technology, smart sensing devices are increasingly used for human body monitoring. These devices capture various user data and upload them to the Internet cloud anytime and anywhere, becoming a new entrance to the Internet of Things. This kind of wireless network composed of body wearable sensors or biosensors implanted in the human body is called "body area network". Continuous physiological monitoring and early warning of diabetes and other patients. With the increasing popularity of implantable smart devices, the body area network will integrate with people and become an integral part of daily life. [0003] Tradition...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the shortcomings of the existing radio frequency energy source position planning methods that cannot adapt to the user's mobile mode and cannot meet the requirements of the probability of uninterrupted energy, the present invention provides a body area network that is suitable for the mobile mode of users and effectively meets the requirements of the probability of uninterrupted energy. Optimal deployment method of radio frequency energy source for node energy supply

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