Title | ||
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Accelerated Structure-Aware Reinforcement Learning for Delay-Sensitive Energy Harvesting Wireless Sensors |
Abstract | ||
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We consider a time-slotted energy-harvesting wireless sensor transmitting delay-sensitive data over a fading channel. The sensor injects captured data packets into its transmission queue and relies on ambient energy harvested from the environment to transmit them. We aim to find the optimal scheduling policy that decides how many packets to transmit in each time slot to minimize the expected queui... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TSP.2020.2973125 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Sensors,Batteries,Heuristic algorithms,Energy harvesting,Complexity theory,Approximation algorithms,Signal processing algorithms | Job shop scheduling,Computer science,Scheduling (computing),Queuing delay,Network packet,Queue,Communication channel,Markov decision process,Real-time computing,Distributed computing,Reinforcement learning | Journal |
Volume | ISSN | Citations |
68 | 1053-587X | 3 |
PageRank | References | Authors |
0.37 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nikhilesh Sharma | 1 | 5 | 2.42 |
Nicholas Mastronarde | 2 | 240 | 26.93 |
Jacob Chakareski | 3 | 532 | 58.87 |