Intelligent Scheduling of UAVs and Sensors for Information Age Minimization at Wireless Powered Internet of Things

Jiameng Li, Xiaojie Wang*, Jun Wu, Zhaolong Ning

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Age of Information (AoI) has received much attention from researchers as the latest metric to quantify the freshness of data. It is necessary to jointly schedule Unmanned Aerial Vehicles (UAVs) and sensors to reduce the system AoI in wireless powered Internet of things. However, constraints on UAV flight time, charging time, and data collection time, as well as constraints of half-duplex hardware for sensors make it difficult to efficiently jointly schedule UAVs and sensors by traditional methodes. Thus, we design a multi-agent Deep Reinforcement Learning (DRL)-based UAV cooperative scheduling algorithm that jointly optimizes sensor charging time, UAV trajectories and sensor update scheduling with AoI as the optimization objective. Initially, we define the AoI minimization problem, portraying it as a Markov decision process. Then, we design a multi-agent DRL algorithm founded on factorizing value functions to address this issue. Finally, experiments demonstrate that the MAPLE algorithm can effectively coordinate the scheduling of UAVs and sensors.

Original languageEnglish
Title of host publicationProceedings of the 2024 27th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2024
EditorsWeiming Shen, Weiming Shen, Jean-Paul Barthes, Junzhou Luo, Tie Qiu, Xiaobo Zhou, Jinghui Zhang, Haibin Zhu, Kunkun Peng, Tianyi Xu, Ning Chen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3243-3248
Number of pages6
ISBN (Electronic)9798350349184
DOIs
Publication statusPublished - 2024
Event27th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2024 - Tianjin, China
Duration: 2024 May 82024 May 10

Publication series

NameProceedings of the 2024 27th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2024

Conference

Conference27th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2024
Country/TerritoryChina
CityTianjin
Period24/5/824/5/10

Keywords

  • Age of information
  • Internet of things
  • multi-agent deep reinforcement learning
  • unmanned aerial vehicle
  • wireless power transfer

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Control and Optimization
  • Modelling and Simulation

Fingerprint

Dive into the research topics of 'Intelligent Scheduling of UAVs and Sensors for Information Age Minimization at Wireless Powered Internet of Things'. Together they form a unique fingerprint.

Cite this