An optimal deployment method of radio frequency energy source for powering body area network nodes

A radio frequency energy, body area network technology, applied in network topology, network planning, vehicle components, etc., can solve problems such as the inability to meet the requirement of energy uninterrupted probability and the inability to adapt to user mobility patterns, and achieve the effect of reducing deployment costs.

Active Publication Date: 2020-03-27
ZHEJIANG UNIV OF TECH
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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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  • An optimal deployment method of radio frequency energy source for powering body area network nodes
  • An optimal deployment method of radio frequency energy source for powering body area network nodes
  • An optimal deployment method of radio frequency energy source for powering body area network nodes

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Embodiment Construction

[0037] The present invention will be further described below in conjunction with the accompanying drawings.

[0038] refer to Figure 1 ~ Figure 3 , a method for optimally deploying a radio frequency energy source for powering a body area network node, comprising the following steps:

[0039]Step 1. The body area network node is located on the user's body surface or in the body, and collects and communicates data by capturing the wireless signal energy sent by the surrounding radio frequency energy source. When a user moves in a certain area, there are generally several staying points with a long staying time and some relatively fixed moving trajectories. Therefore, based on the above characteristics, the user's mobility pattern is firstly modeled. According to the location information of multiple mobile users in a certain area within a certain period of time, the mobile model of group users is used as a set of frequent stay points V={v 1 ,v 2 ,...,v N} and the clustering...

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Abstract

A radio frequency energy source optimal deployment method for powering body area network nodes, comprising the following steps: modeling the user's movement pattern as a graph composed of stay points and trajectory edges; iteratively calculating new energy in stages according to different objective functions The position of the source, in the first stage, the new energy source makes the charging power of the body area network nodes at all stay points greater than the energy consumption power; in the second stage, the new energy source makes the maximum cumulative net energy consumption of all trajectory edges not exceed The capacity of the energy storage element of the node; in the third stage, the new energy source makes the actual energy non-interruption probability of the body area network node meet the system requirements. This method is suitable for scenarios where body area network nodes can capture radio frequency energy for charging, and can reasonably deploy energy sources according to the user's mobility patterns, meet the system's energy uninterrupted requirements, and reduce deployment costs.

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...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W16/18H04W84/18H04B13/00G06K9/62H02J7/00H02J50/20
CPCH02J7/025H02J50/20H04B13/005H04W16/18H04W84/18G06F18/23
Inventor 李燕君陈雨哲池凯凯朱艺华
Owner ZHEJIANG UNIV OF TECH
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