Name
Title | ||
|---|---|---|
Energy Efficient Exponentially Weighted Algorithm - Based Resource Allocation in LoRa Networks |
Abstract | ||
|---|---|---|
Low-power wide-area networks (LPWANs) increasingly attract attention in the IoT community. The provision of long communication ranges with low energy consumption is the main reason behind LPWAN’s growing popularity. Energy efficiency is crucial for LPWAN devices that are mostly battery-powered and required to function in a crowded environment. To reduce energy consumption over these networks, mini... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/5GWF52925.2021.00045 | 2021 IEEE 4th 5G World Forum (5GWF) |
Keywords | DocType | ISBN |
IoT,LoRaWAN,resource allocation,energy efficient,reinforcement learning,MAB,EXP3 | Conference | 978-1-6654-4308-1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yalda Sani | 1 | 0 | 0.34 |
| Messaoud Ahmed Ouameur | 2 | 4 | 2.12 |
| Daniel Massicotte | 3 | 6 | 2.86 |
| Tristan Martin | 4 | 0 | 0.34 |