Article
04 March 2019
Published
Institute of Electrical and Electronics Engineers (IEEE)
10.1109/access.2019.2902371
QA75 Electronic computers. Computer science
004 Data processing & computer science
Italian Government; “COGITO—Sistema dinamico e cognitivo per consentire agli edifici di apprendere ed adattarsi” Project
Savaglio, C., Pace, P., Aloi, G., Liotta, A., & Fortino, G. (2019). Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks. IEEE Access, 7, 29355-29364. https://doi.org/10.1109/access.2019.2902371
Professor of Data Science and Intelligent SystemsSchool of Computing
0131 455 2850
A.Liotta@napier.ac.uk
General Engineering; General Materials Science; General Computer Science
1MB
Copyright 2019 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information