Optimizing energy efficiency of LoRaWAN-based wireless underground sensor networks: A multi-agent reinforcement learning approach (2023)
Attributed to:
UKCRIC - National Buried Infrastructure Facility
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.iot.2023.100776
Publication URI: https://api.elsevier.com/content/abstract/scopus_id/85152257820
Type: Journal Article/Review
Parent Publication: Internet of Things