Edge based priority-aware dynamic resource allocation for Internet of Things networks
The exponential growth of the edge-based Internet-of-Things (IoT) services and its
ecosystems has recently led to a new type of communication network, the Low Power Wide …
ecosystems has recently led to a new type of communication network, the Low Power Wide …
Intelligent resource allocation in LoRaWAN using machine learning techniques
With the ubiquitous growth of Internet-of-things (IoT) devices, current low-power wide-area
network (LPWAN) technologies will inevitably face performance degradation due to …
network (LPWAN) technologies will inevitably face performance degradation due to …
LoRa-RL: Deep reinforcement learning for resource management in hybrid energy LoRa wireless networks
LoRa wireless networks are considered as a key enabling technology for next-generation
Internet of Things (IoT) systems. New IoT deployments (eg, smart city scenarios) can have …
Internet of Things (IoT) systems. New IoT deployments (eg, smart city scenarios) can have …
Modeling and Optimization of LoRa Networks under Multiple Constraints
H Zhang, Y Song, M Yang, Q Jia - Sensors, 2023 - mdpi.com
With the access of massive terminals of the Internet of Things (IoT), the low-power wide-area
networks (LPWAN) applications represented by Long Range Radio (LoRa) will grow …
networks (LPWAN) applications represented by Long Range Radio (LoRa) will grow …
AI-ERA: Artificial intelligence-empowered resource allocation for LoRa-enabled IoT applications
Adaptive data rate (ADR) is a widely adopted resource assignment approach in long-range
wide-area networks (LoRaWANs) for static Internet of Things (IoT) applications such as …
wide-area networks (LoRaWANs) for static Internet of Things (IoT) applications such as …
A deep reinforcement learning approach for LoRa WAN energy optimization
In almost-majority of IoT (Internet of Things) networks; the wireless sensor nodes are small
and low-cost portable devices. Besides, they are typically battery-powered with a finite …
and low-cost portable devices. Besides, they are typically battery-powered with a finite …
A reinforcement learning based transmission parameter selection and energy management for long range Internet of Things
Internet of Things (IoT) landscape to cover long-range applications. The LoRa-enabled IoT
devices adopt an Adaptive Data Rate-based (ADR) mechanism to assign transmission …
devices adopt an Adaptive Data Rate-based (ADR) mechanism to assign transmission …
Deep reinforcement learning based resource allocation in dense sliced LoRaWAN networks
Long-Range Wide Area Network (LoRaWAN) is a rapidly expanding communication system
for Low Power Wide Area Network (LPWAN) in the Internet of Things (IoTs) deployments. It …
for Low Power Wide Area Network (LPWAN) in the Internet of Things (IoTs) deployments. It …
Intelligent resource allocation in dense lora networks using deep reinforcement learning
The anticipated increase in the count of IoT devices in the coming years motivates the
development of efficient algorithms that can help in their effective management while …
development of efficient algorithms that can help in their effective management while …
Mobility-aware resource assignment to IoT applications in long-range wide area networks
A Farhad, DH Kim, BH Kim, AFY Mohammed… - IEEE …, 2020 - ieeexplore.ieee.org
The long-range wide area network (LoRaWAN) has recently emerged as one of the most
potential technologies for the mobile Internet of Things (IoT) applications. In a LoRaWAN …
potential technologies for the mobile Internet of Things (IoT) applications. In a LoRaWAN …