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Optimizing energy efficiency of LoRaWAN-based wireless underground sensor networks: A multi-agent reinforcement learning approach
Research article (Internet of Things, 2023) · cited 33× · AI/ML
Optimizing energy efficiency of LoRaWAN-based wireless underground sensor networks: A multi-agent reinforcement learning approach
Summary
Optimizing energy efficiency of LoRaWAN-based wireless underground sensor networks: A multi-agent reinforcement learning approach is a scholarly article[1].
Key Facts
Optimizing energy efficiency of LoRaWAN-based wireless underground sensor networks: A multi-agent reinforcement learning approach's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Optimizing energy efficiency of LoRaWAN-based wireless underground sensor networks: A multi-agent reinforcement learning approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-energy-efficiency-of-lorawan-based-wireless-underground-sensor-networks-a-multi-agent-reinforcement-learning-
MLA“Optimizing energy efficiency of LoRaWAN-based wireless underground sensor networks: A multi-agent reinforcement learning approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-energy-efficiency-of-lorawan-based-wireless-underground-sensor-networks-a-multi-agent-reinforcement-learning-.
BibTeX@misc{4ortxyz_optimizing-energy-efficiency-of-lorawan-based-wireless-underground-sensor-networks-a-multi-agent-reinforcement-learning-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing energy efficiency of LoRaWAN-based wireless underground sensor networks: A multi-agent reinforcement learning approach}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-energy-efficiency-of-lorawan-based-wireless-underground-sensor-networks-a-multi-agent-reinforcement-learning-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimizing energy efficiency of LoRaWAN-based wireless underground sensor networks: A multi-agent reinforcement learning approach — https://4ort.xyz/entity/optimizing-energy-efficiency-of-lorawan-based-wireless-underground-sensor-networks-a-multi-agent-reinforcement-learning- (retrieved 2026-05-24)
