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Sensor scheduling method for large-scale WSN multi-target tracking

A technology of multi-target tracking and scheduling method, applied in the field of sensor scheduling for large-scale WSN multi-target tracking

Pending Publication Date: 2022-07-08
SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI
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  • Abstract
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Problems solved by technology

[0004] Compared with a single target, the network is facing greater challenges in performing multi-target tracking tasks

Method used

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  • Sensor scheduling method for large-scale WSN multi-target tracking
  • Sensor scheduling method for large-scale WSN multi-target tracking
  • Sensor scheduling method for large-scale WSN multi-target tracking

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Embodiment Construction

[0026] The present invention will be further described below in conjunction with specific embodiments. It should be understood that these examples are only used to illustrate the present invention and not to limit the scope of the present invention. In addition, it should be understood that after reading the content taught in the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0027] Embodiments of the present invention relate to a sensor scheduling method for large-scale WSN multi-target tracking, such as figure 1It includes the following steps: nodes that perceive the appearance of the target are dynamically clustered based on the delay broadcast, and the nodes in the cluster perform the target sensing work; The data calculates the tracking demand degree of each target; the cluster head feeds back ...

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Abstract

The invention relates to a sensor scheduling method for large-scale WSN (Wireless Sensor Network) multi-target tracking, which comprises the following steps of: dynamically clustering nodes which sense the appearance of a target based on time delay broadcast, and performing target sensing work by the nodes in the cluster; when multiple targets appear in the cluster, the cluster head calculates the tracking demand degree of each target according to the sensing data of the nodes in the cluster at each moment; and the cluster head feeds back the tracking demand degree of each target in the cluster to the nodes in the cluster, and the nodes in the cluster select actions according to the Q value function and the exploration development strategy. According to the invention, resources can be reasonably allocated according to the tracking priority of the target.

Description

technical field [0001] The invention relates to the technical field of wireless sensor networks, in particular to a sensor scheduling method for large-scale WSN multi-target tracking. Background technique [0002] WSN is a network system that integrates monitoring, control and wireless communication functions. It has a wide range of application prospects in many fields such as environmental monitoring, smart home, military operations, and disaster relief. As a key technology used in many applications, target tracking is essentially to estimate the motion state of the target and analyze the relevant properties of the target. The target tracking system based on large-scale WSN has the characteristics of low price, strong robustness, concealment, etc., and has high practical value, especially in unmanned areas, it can complete long-term and reliable regional monitoring tasks. [0003] A large-scale WSN is composed of a large number of sensor nodes. Due to the intensive deploy...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W72/12
CPCH04W72/1263H04W84/18H04W72/20Y02D30/70
Inventor 曲志毅王江赵雪徐慧慧陶绍君
Owner SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI
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