A Whittle Index Policy for Dynamic Task Scheduling of Multi-Platform Multi-Sensor Systems

Min Yang, Zengfu Wang, Xiaoxu Wang, Bige Yang

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Task scheduling is key to multi-platform multi-sensor systems, which faces challenges of complex sensor combination and high computational complexity. To deal with these challenges, this research introduces the concept of a sensor resource pool to characterize available sensors, and formulate the optimization problem as a restless multi-armed bandit (RMAB) process, considering both task execution and the limitations of the sensor resource pool. To tackle the formulated RMAB problem, we apply Whittle relaxation. Accordingly, the Whittle index policy is introduced for the dynamic task scheduling of multi-platform multi-sensor systems. Numerical simulations demonstrate the effectiveness of the proposed policy.

源语言英语
主期刊名IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798331515669
DOI
出版状态已出版 - 2024
活动2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, 中国
期限: 22 11月 202424 11月 2024

出版系列

姓名IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

会议

会议2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
国家/地区中国
Zhuhai
时期22/11/2424/11/24

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