Q learning based adaptive protocol parameters for WSNs-Reference-Cited by-同舟云学术

Q learning based adaptive protocol parameters for WSNs

Published:2023-02 Issue:1 Volume:25 Page:76-87
ISSN:1229-2370
Container-title:Journal of Communications and Networks
language:
Short-container-title:J. Commun. Netw.

Author:

Karunanayake Piumika N.¹,Könsgen Andreas²,Weerawardane Thushara³,Förster Anna²

Affiliation:

1. Department of Sustainable Communication Networks, University of Bremen, Germany and with Department of Electrical Electronics & Telecommunication Engineering, General Sir John Kotelawala Defence University, Sri Lanka

2. Department of Sustainable Communication Networks, University of Bremen, Germany

3. Department of Electrical Electronics & Telecommunication Engineering, General Sir John Kotelawala Defence University, Sri Lanka

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/5449605/10077469/09944618.pdf?arnumber=9944618

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reinforcement Learning based Hybrid Optimum Route Identification Scheme in WSN;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

2. RiSi: Spectro-temporal RAN-agnostic Modulation Identification for OFDMA Signals;2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM);2024-06-04

3. Q-Learning and Efficient Low-Quantity Charge Method for Nodes to Extend the Lifetime of Wireless Sensor Networks;Electronics;2023-11-17