Adaptive Scheduling: A Reinforcement Learning Whittle Index Approach for Wireless Sensor Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Jonah, Sokipriala, Yoo, Seong Ki, Sthapit, Saurav |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fair and Efficient Scheduling for Sensor Networks via Online Whittle Index Policy
by: Jonah, Sokipriala, et al.
Published: (2026)
by: Jonah, Sokipriala, et al.
Published: (2026)
Whittle Index Learning Algorithms for Restless Bandits with Constant Stepsizes
by: Mittal, Vishesh, et al.
Published: (2024)
by: Mittal, Vishesh, et al.
Published: (2024)
Adaptive Biased User Scheduling for Heterogeneous Wireless Federate Learning Network
by: Wu, Changxiang, et al.
Published: (2025)
by: Wu, Changxiang, et al.
Published: (2025)
Multi-Task Lifelong Reinforcement Learning for Wireless Sensor Networks
by: Firouzjaei, Hossein Mohammadi, et al.
Published: (2025)
by: Firouzjaei, Hossein Mohammadi, et al.
Published: (2025)
Windex: Realtime Neural Whittle Indexing for Scalable Service Guarantees in NextG Cellular Networks
by: Bura, Archana, et al.
Published: (2024)
by: Bura, Archana, et al.
Published: (2024)
Backpressure-based Mean-field Type Game for Scheduling in Multi-Hop Wireless Sensor Networks
by: Choutri, Salah Eddine, et al.
Published: (2025)
by: Choutri, Salah Eddine, et al.
Published: (2025)
Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
by: Pang, Gaoyang, et al.
Published: (2021)
by: Pang, Gaoyang, et al.
Published: (2021)
ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule
by: Huang, Yilie, et al.
Published: (2026)
by: Huang, Yilie, et al.
Published: (2026)
Multilinear Extensions in Submodular Optimization for Optimal Sensor Scheduling in Nonlinear Networks
by: Kazma, Mohamad H., et al.
Published: (2024)
by: Kazma, Mohamad H., et al.
Published: (2024)
A Survey of Freshness-Aware Wireless Networking with Reinforcement Learning
by: Alibotaiken, Alimu, et al.
Published: (2025)
by: Alibotaiken, Alimu, et al.
Published: (2025)
Adaptive Gain Scheduling using Reinforcement Learning for Quadcopter Control
by: Timmerman, Mike, et al.
Published: (2024)
by: Timmerman, Mike, et al.
Published: (2024)
Joint Communication Scheduling and Resource Allocation for Distributed Edge Learning: Seamless Integration in Next-Generation Wireless Networks
by: Zheng, Paul, et al.
Published: (2025)
by: Zheng, Paul, et al.
Published: (2025)
Exploiting Sparsity for Localization of Large-Scale Wireless Sensor Networks
by: Khan, Shiraz, et al.
Published: (2023)
by: Khan, Shiraz, et al.
Published: (2023)
A Versatile Door Opening System with Mobile Manipulator through Adaptive Position-Force Control and Reinforcement Learning
by: Kang, Gyuree, et al.
Published: (2023)
by: Kang, Gyuree, et al.
Published: (2023)
Whittle's index-based age-of-information minimization in multi-energy harvesting source networks
by: Jaiswal, Akanksha, et al.
Published: (2024)
by: Jaiswal, Akanksha, et al.
Published: (2024)
Optimal Downlink-Uplink Scheduling of Wireless Networked Control for Industrial IoT
by: Huang, Kang, et al.
Published: (2019)
by: Huang, Kang, et al.
Published: (2019)
Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G
by: Zhang, Jiayi, et al.
Published: (2025)
by: Zhang, Jiayi, et al.
Published: (2025)
Adaptive Decentralized Federated Learning in Energy and Latency Constrained Wireless Networks
by: Yan, Zhigang, et al.
Published: (2024)
by: Yan, Zhigang, et al.
Published: (2024)
Wireless Interconnection Network (WINE) for Post-Exascale High-Performance Computing
by: Kim, Hong Ki, et al.
Published: (2024)
by: Kim, Hong Ki, et al.
Published: (2024)
A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach
by: Wang, Taiyi, et al.
Published: (2025)
by: Wang, Taiyi, et al.
Published: (2025)
Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach
by: Zhao, Zihuai, et al.
Published: (2022)
by: Zhao, Zihuai, et al.
Published: (2022)
Hierarchical Event-triggered Learning for Cyclically Excited Systems with Application to Wireless Sensor Networks
by: Beuchert, Jonas, et al.
Published: (2019)
by: Beuchert, Jonas, et al.
Published: (2019)
Online Reinforcement Learning for Safe Gain Scheduling in Nonlinear Quadrotor Control
by: Zahed, Muhammad Junayed Hasan, et al.
Published: (2026)
by: Zahed, Muhammad Junayed Hasan, et al.
Published: (2026)
Secure Event-Triggered Distributed Kalman Filters for State Estimation over Wireless Sensor Networks
by: Mustafa, Aquib, et al.
Published: (2019)
by: Mustafa, Aquib, et al.
Published: (2019)
Microgrid Optimal State Estimation Over IoT Wireless Sensor Networks With Event-Based Measurements
by: Alavi, Seyed Amir, et al.
Published: (2019)
by: Alavi, Seyed Amir, et al.
Published: (2019)
Improved Soft-k-Means Clustering Algorithm for Balancing Energy Consumption in Wireless Sensor Networks
by: Zhu, Botao, et al.
Published: (2024)
by: Zhu, Botao, et al.
Published: (2024)
Multi-Sensor Scheduling for Remote State Estimation over Wireless MIMO Fading Channels with Semantic Over-the-Air Aggregation
by: Tang, Minjie, et al.
Published: (2026)
by: Tang, Minjie, et al.
Published: (2026)
Cooperative Energy Scheduling of Multi-Microgrids Based on Risk-Sensitive Reinforcement Learning
by: Zhang, Rongxiang, et al.
Published: (2025)
by: Zhang, Rongxiang, et al.
Published: (2025)
Electric Arc Furnaces Scheduling under Electricity Price Volatility with Reinforcement Learning
by: Pi, Ruonan, et al.
Published: (2025)
by: Pi, Ruonan, et al.
Published: (2025)
Improving Mixed-Criticality Scheduling with Reinforcement Learning
by: El-Mahdy, Muhammad, et al.
Published: (2025)
by: El-Mahdy, Muhammad, et al.
Published: (2025)
Adaptive Cooperative Streaming of Holographic Video Over Wireless Networks: A Proximal Policy Optimization Solution
by: Wen, Wanli, et al.
Published: (2024)
by: Wen, Wanli, et al.
Published: (2024)
Precise Insulin Delivery for Artificial Pancreas: A Reinforcement Learning Optimized Adaptive Fuzzy Control Approach
by: Mameche, Omar, et al.
Published: (2025)
by: Mameche, Omar, et al.
Published: (2025)
Decision-Focused Learning for Neural Network-Constrained HVAC Scheduling
by: Favaro, Pietro, et al.
Published: (2025)
by: Favaro, Pietro, et al.
Published: (2025)
Bandwidth-Constrained Sensor Scheduling: A Trade-off between Fairness and Efficiency
by: Zhong, Yuxing, et al.
Published: (2025)
by: Zhong, Yuxing, et al.
Published: (2025)
Enhancing Battlefield Awareness: An Aerial RIS-assisted ISAC System with Deep Reinforcement Learning
by: Cho, Hyunsang, et al.
Published: (2024)
by: Cho, Hyunsang, et al.
Published: (2024)
Adaptive Real-Time Scheduling Algorithms for Embedded Systems
by: Benmachiche, Abdelmadjid, et al.
Published: (2025)
by: Benmachiche, Abdelmadjid, et al.
Published: (2025)
Latency and Energy Minimization in NOMA-Assisted MEC Network: A Federated Deep Reinforcement Learning Approach
by: Ahmadi, Arian, et al.
Published: (2024)
by: Ahmadi, Arian, et al.
Published: (2024)
Physical Informed-Inspired Deep Reinforcement Learning Based Bi-Level Programming for Microgrid Scheduling
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Optimal Scheduling of Multiple Sensors over Lossy and Bandwidth Limited Channels
by: Wu, Shuang, et al.
Published: (2018)
by: Wu, Shuang, et al.
Published: (2018)
OpenSense: An Open-World Sensing Framework for Incremental Learning and Dynamic Sensor Scheduling on Embedded Edge Devices
by: Bukhari, Abdulrahman, et al.
Published: (2023)
by: Bukhari, Abdulrahman, et al.
Published: (2023)
Similar Items
-
Fair and Efficient Scheduling for Sensor Networks via Online Whittle Index Policy
by: Jonah, Sokipriala, et al.
Published: (2026) -
Whittle Index Learning Algorithms for Restless Bandits with Constant Stepsizes
by: Mittal, Vishesh, et al.
Published: (2024) -
Adaptive Biased User Scheduling for Heterogeneous Wireless Federate Learning Network
by: Wu, Changxiang, et al.
Published: (2025) -
Multi-Task Lifelong Reinforcement Learning for Wireless Sensor Networks
by: Firouzjaei, Hossein Mohammadi, et al.
Published: (2025) -
Windex: Realtime Neural Whittle Indexing for Scalable Service Guarantees in NextG Cellular Networks
by: Bura, Archana, et al.
Published: (2024)