A Systematic Literature Review of LoRaWAN: Sensors and Applications
V Bonilla, B Campoverde, SG Yoo - Sensors, 2023 - mdpi.com
LoRaWAN is a communication protocol designed especially for Internet of Things (IoT)
applications that offers benefits such as long-distance connection and low power …
applications that offers benefits such as long-distance connection and low power …
Towards lorawan without data loss: Studying the performance of different channel access approaches
The Long Range Wide Area Network (LoRaWAN) is one of the fastest growing Internet of
Things (IoT) access protocols. It operates in the license free 868 MHz band and gives …
Things (IoT) access protocols. It operates in the license free 868 MHz band and gives …
QoS-aware sensor virtualization for provisioning green sensors-as-a-service
D Rajavel, A Chakraborty… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This work addresses the problem of efficient virtual sensor formation in sensor-cloud for
provisioning green Internet of Things (IoT)-based services. The sustainability of sensor …
provisioning green Internet of Things (IoT)-based services. The sustainability of sensor …
Assessment of Optimal Time Scheduled Channel Access in LoRaWAN
F Loh, D Raunecker, T Hoβfeld - ICC 2024-IEEE International …, 2024 - ieeexplore.ieee.org
Continuous advancements in smart solutions are consistently making their way into the
market. To address the growing demand for connectivity across the globe, the deployment of …
market. To address the growing demand for connectivity across the globe, the deployment of …
A reinforcement learning assisted backoff algorithm for LoRa networks
The Long Range (LoRa) networks are able to provide both long-range coverage and low
power consumption for sensing devices. These features make it one of the most attractive …
power consumption for sensing devices. These features make it one of the most attractive …
Distributed deep reinforcement learning resource allocation scheme for industry 4.0 device-to-device scenarios
This paper proposes a distributed deep reinforcement learning (DRL) methodology for
autonomous mobile robots (AMRs) to manage radio resources in an indoor factory with no …
autonomous mobile robots (AMRs) to manage radio resources in an indoor factory with no …
Secure Transmission of Immutable Data for Low-Power, Long-Range Wireless IoT Services
A Baumgartner, N Akkari, S Barua… - … on Blockchain and …, 2024 - ieeexplore.ieee.org
In this work, we propose a network hierarchy to enable low-power IoT services applying the
directed-acyclic graph (DAG) based Distributed Ledger Technology (DLT) IOT Λ Streams on …
directed-acyclic graph (DAG) based Distributed Ledger Technology (DLT) IOT Λ Streams on …
[PDF][PDF] Dbm: Decentralized burst mitigation for self-organizing lora deployments
This work proposes a novel approach to disperse dense transmission intervals and reduce
bursty traffic patterns without the need for centralized control. Furthermore, by keeping the …
bursty traffic patterns without the need for centralized control. Furthermore, by keeping the …
DBM: Decentralized Burst Mitigation for Periodic LoRa Devices Using Self-Organizing Radio Access
The steady growth of IoT networks and the rise of LoRa and LoRaWAN as a wireless
communication protocol in smart city deployments invoke the need for energy efficient and …
communication protocol in smart city deployments invoke the need for energy efficient and …
Desynchronized Channel Access with Carrier Sensing for large-scale wireless IoT Networks
T Tuchscherer, A Baumgartner… - … and Applications; 27th …, 2023 - ieeexplore.ieee.org
Internet-of-Things (IoT) services frequently depend on data collected by a large number of
battery-powered, wireless end devices. Therefore in the last couple of years beyond mobile …
battery-powered, wireless end devices. Therefore in the last couple of years beyond mobile …