Efficient Massive-Device Orchestration Through Reinforcement Learning With Boosted Deep Deterministic Policy Gradient-Reference-Cited by-同舟云学术

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Efficient Massive-Device Orchestration Through Reinforcement Learning With Boosted Deep Deterministic Policy Gradient

Published:2024-02-01 Issue:3 Volume:11 Page:5143-5154
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Shi Haowei¹,Zou Jiadao¹,Zhang Qingxue²^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indianapolis, IN, USA

2. Department of Electrical and Computer Engineering and the Department of Biomedical Engineering, Purdue School of Engineering and Technology, Indianapolis, IN, USA

Funder

NSF CAREER Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

https://ieeexplore.ieee.org/ielam/6488907/10413935/10206030-aam.pdf

Reference27 articles.

1. A survey on technological, business and societal aspects of Internet of Things by Q3, 2017

2. A survey on challenges, technologies and applications of IoT;Suruthi;Int. J. Adv. Res. Comput. Commun. Eng.,2016

3. Low-Cost Sub-5W Processors for Edge HPC

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1. s2Cloud: a novel cloud-based precision health system for smart and secure IoT big data harnessing;Discover Internet of Things;2024-02-29

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