Adaptive Dynamic Programming-Based Multi-Sensor Scheduling for Collaborative Target Tracking in Energy Harvesting Wireless Sensor Networks

Adaptive Dynamic Programming-Based Multi-Sensor Scheduling for Collaborative Target Tracking in Energy Harvesting Wireless Sensor Networks

Collaborative target tracking is one of the most important applications of wireless sensor networks (WSNs), in which the network must rely on sensor scheduling to balance the tracking accuracy and energy consumption, due to the limited network resources for sensing, communication, and computation. W...

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Bibliographic Details
Main Authors: Fen Liu, Wendong Xiao, Shuai Chen, Chengpeng Jiang
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Sensors
Subjects:
energy harvesting
wireless sensor networks
adaptive dynamic programming
target tracking
extended Kalman filter
sensor scheduling
Online Access:https://www.mdpi.com/1424-8220/18/12/4090

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