ELISE: A Reinforcement Learning Framework to Optimize the Slotframe Size of the TSCH Protocol in IoT Networks-Reference-Cited by-同舟云学术

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ELISE: A Reinforcement Learning Framework to Optimize the Slotframe Size of the TSCH Protocol in IoT Networks

Published:2024-06 Issue:2 Volume:18 Page:1068-1079
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Jurado-Lasso F. Fernando¹^ORCID,Barzegaran Mohammadreza²^ORCID,Jurado J. F.³^ORCID,Fafoutis Xenofon¹^ORCID

Affiliation:

1. Embedded Systems Engineering section, DTU Compute, Technical University of Denmark, Lyngby, Denmark

2. Center for Pervasive Communications and Computing, University of California, Irvine, CA, USA

3. Department of Basic Science, Faculty of Engineering and Administration, Universidad Nacional de Colombia Sede Palmira, Palmira, Colombia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4267003/10566074/10473707.pdf?arnumber=10473707

Reference32 articles.

1. Multisource Energy Harvesting System for a Wireless Sensor Network Node in the Field Environment

2. Survey on the Characterization and Classification of Wireless Sensor Network Applications

3. Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends

4. 6TiSCH: deterministic IP-enabled industrial internet (of things)

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