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A node optimization deployment method suitable for wireless locatable sensor networks

A sensing node and positioning sensing technology, applied in wireless communication, network topology, network planning, etc., can solve the problems of building an energy transmission model, not considering the impact of dynamic charging problems, and node resource planning.

Active Publication Date: 2022-08-09
广东冠兴科技发展有限公司
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AI Technical Summary

Problems solved by technology

When the charger charges the sensor node, the microwave energy transmitted in the space will attenuate with the increase of the distance. When no sensor node receives the energy, there will be energy waste. Therefore, the charger and the sensor node The location deployment has a great influence on the node resource planning problem
However, the existing wireless charging research usually fixes the position of the sensor node, then deploys the mobile charging device in the network, and uses the path optimization algorithm to plan its optimal route, without considering the dynamic change of the sensor node position deployment. Impact on Charging Issues
At the same time, in the existing research on the energy transfer model, the sensor node is usually based on an adaptive distributed algorithm, and communicates with the surrounding common nodes by adjusting its own optimal data transmission rate, link flow, and routing path, without antenna-based Radiation features to build energy transfer models

Method used

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  • A node optimization deployment method suitable for wireless locatable sensor networks
  • A node optimization deployment method suitable for wireless locatable sensor networks
  • A node optimization deployment method suitable for wireless locatable sensor networks

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Embodiment Construction

[0021] First, build a wireless locatable sensor network system based on chargers, sensor nodes, common nodes and service stations, with the goal of reducing the charging deactivation time of the system, improving the positioning accuracy and coverage of the system, and popularizing it based on marketization. According to the classical electromagnetic field theory, the gain estimation model of the dipole antenna in the discrete state is obtained.

[0022] like figure 2 The schematic diagram of the coordinate system of the dipole tag antenna is shown. Assuming that the antenna size satisfies the "half wavelength" condition, its gain estimation model can be described as

[0023]

[0024] Among them, O e Form a ray vector with a point A in space θ e for the Z axis to the ray vector to the angle, φ e is the ray vector After projecting on the XOY plane, the X-axis to the angle of the projection.

[0025] Then, build like Figure 4 In the application scenario of the wi...

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Abstract

The invention belongs to the field of wireless sensor networks, and relates to a node optimization deployment method suitable for wireless locatable sensor networks. The method aims to deal with the optimal deployment of wireless locatable sensor network nodes. The steps are: obtaining an antenna gain estimation model of the sensor node in a discrete state; building a dual-dipole antenna radiation gain model and a field strength estimation model in a simultaneous state The optimization objective function is obtained through the communication between the mobile charger, the sensor node and the ordinary node; the multi-task evolutionary algorithm based on the information positive migration mechanism is used to optimize the objective function, and the optimal deployment method of the sensor node is obtained. The characteristics of the invention are that the energy utilization rate of the charger is effectively improved, the charging deactivation time is reduced, and the requirements of high-precision positioning and wide-area coverage of the whole system are achieved at the same time.

Description

technical field [0001] The invention belongs to the field of wireless sensor networks, and relates to a node optimization deployment method suitable for wireless locatable sensor networks. Background technique [0002] Thanks to the rapid development of wireless communication technology, remote sensing technology, computer technology and microelectronic manufacturing technology, Wireless Rechargeable Sensor Networks (WRSNs) have emerged and been widely used. Different from traditional battery-powered nodes, sensor nodes in wireless rechargeable sensor networks collect energy through radio frequency signals and other energy sources. The charging process is less affected by changes in the surrounding environment, which can effectively extend the normal working life of the network. In WRSNs, the deployment method of sensor nodes is an important factor affecting the charging time, charging efficiency and the positioning accuracy of common nodes. The optimal deployment of nodes b...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W16/20H04W16/22H04W84/18H04B17/391H04B17/327
CPCH04W16/20H04W16/225H04W84/18H04B17/391H04B17/327Y02D30/70
Inventor 史伟光王山川王薇
Owner 广东冠兴科技发展有限公司
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