An Improved Q-Learning-Based Sensor-Scheduling Algorithm for Multi-Target Tracking

An Improved Q-Learning-Based Sensor-Scheduling Algorithm for Multi-Target Tracking

Target tracking is an essential issue in wireless sensor networks (WSNs). Compared with single-target tracking, how to guarantee the performance of multi-target tracking is more challenging because the system needs to balance the tracking resource for each target according to different target proper...

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Bibliographic Details
Main Authors: Zhiyi Qu, Xue Zhao, Huihui Xu, Hongying Tang, Jiang Wang, Baoqing Li
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
wireless sensor networks
multi-target tracking
sensor scheduling
target priority
task allocation
tracking accuracy
Online Access:https://www.mdpi.com/1424-8220/22/18/6972

Internet

https://www.mdpi.com/1424-8220/22/18/6972

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