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Fast and low-complexity reinforcement learning for delay-sensitive energy harvesting wireless visual sensing systems

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/b978-012088480-3/50014-xopenalex-snapshot
Quality of Service Support in Multimedia Wireless Environments
inferredcites →https://doi.org/10.1016/c2013-0-10366-2openalex-snapshot
Constrained Optimization and Lagrange Multiplier Methods
inferredcites →https://doi.org/10.1109/18.995554openalex-snapshot
Communication over fading channels with delay constraints
inferredcites →https://doi.org/10.1109/26.803503openalex-snapshot
Finite-state Markov model for Rayleigh fading channels
inferredcites →https://doi.org/10.1109/43.766730openalex-snapshot
Policy optimization for dynamic power management
inferredcites →https://doi.org/10.1109/glocom.2015.7417625openalex-snapshot
Energy Harvesting Multiple Access Channel with Data Arrivals
inferredcites →https://doi.org/10.1109/jcn.2012.6253062openalex-snapshot
Optimal packet scheduling in a multiple access channel with energy harvesting transmitters
inferredcites →https://doi.org/10.1109/jsac.2008.080514openalex-snapshot
An on-line learning algorithm for energy efficient delay constrained scheduling over a fading channel
inferredcites →https://doi.org/10.1109/tac.2011.2166310openalex-snapshot
Near Optimal Power and Rate Control of Multi-Hop Sensor Networks With Energy Replenishment: Basic Limitations With Finite Energy and Data Storage
inferredcites →https://doi.org/10.1109/tc.2002.1047758openalex-snapshot
Dynamic power management for nonstationary service requests
inferredcites →https://doi.org/10.1109/tcomm.2011.112811.100349openalex-snapshot
Optimal Packet Scheduling in an Energy Harvesting Communication System
inferredcites →https://doi.org/10.1109/tcomm.2014.2380316openalex-snapshot
Uplink Scheduling of Visual Sensors: When View Popularity Matters
inferredcites →https://doi.org/10.1109/tit.2003.821989openalex-snapshot
Delay-Bounded Packet Scheduling of Bursty Traffic Over Wireless Channels
inferredcites →https://doi.org/10.1109/tmc.2012.36openalex-snapshot
Joint Physical-Layer and System-Level Power Management for Delay-Sensitive Wireless Communications
inferredcites →https://doi.org/10.1109/tnn.1998.712192openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1109/tsp.2009.2027735openalex-snapshot
Monotonicity of Constrained Optimal Transmission Policies in Correlated Fading Channels With ARQ
inferredcites →https://doi.org/10.1109/tsp.2012.2199984openalex-snapshot
Optimal Energy Allocation for Wireless Communications With Energy Harvesting Constraints
inferredcites →https://doi.org/10.1109/tvt.2012.2213850openalex-snapshot
Structure-Aware Stochastic Control for Transmission Scheduling
inferredcites →https://doi.org/10.1109/twc.2013.030413.121120openalex-snapshot
A Learning Theoretic Approach to Energy Harvesting Communication System Optimization
inferredcites →https://doi.org/10.1109/twc.2015.2489200openalex-snapshot
On the Design of Temporal Compression Strategies for Energy Harvesting Sensor Networks
inferredcites →https://doi.org/10.1201/9781315140223openalex-snapshot
Constrained Markov Decision Processes
inferredcites →https://doi.org/10.1613/jair.301openalex-snapshot
Reinforcement Learning: A Survey

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4685968openalex-extracted
inferred← citeshttps://doi.org/10.1007/s11227-022-04643-9openalex-snapshot
Q-learning-based algorithms for dynamic transmission control in IoT equipment
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110330openalex-snapshot
Deep reinforcement learning enhanced skeleton based pipe routing for high-throughput transmission in flying ad-hoc networks
inferred← citeshttps://doi.org/10.1109/access.2020.3043672openalex-snapshot
Skeleton-Based Swarm Routing (SSR): Intelligent Smooth Routing for Dynamic UAV Networks
inferred← citeshttps://doi.org/10.1109/icc.2018.8422092openalex-snapshot
Structural Properties of Optimal Transmission Policies for Delay-Sensitive Energy Harvesting Wireless Sensors
inferred← citeshttps://doi.org/10.1109/isvlsi49217.2020.00084openalex-snapshot
Action Evaluation Hardware Accelerator for Next-Generation Real-Time Reinforcement Learning in Emerging IoT Systems
inferred← citeshttps://doi.org/10.1109/jiot.2022.3163364openalex-snapshot
Hardware Acceleration for Postdecision State Reinforcement Learning in IoT Systems
inferred← citeshttps://doi.org/10.1109/jiot.2023.3242613openalex-snapshot
Blind Post-Decision State-Based Reinforcement Learning for Intelligent IoT
inferred← citeshttps://doi.org/10.1109/tccn.2019.2949589openalex-snapshot
Distributed Power Control for Large Energy Harvesting Networks: A Multi-Agent Deep Reinforcement Learning Approach
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