Benyamin Teymuri

ORCID: 0000-0002-1402-472X
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About
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Research Areas
  • IoT Networks and Protocols
  • Energy Harvesting in Wireless Networks
  • Age of Information Optimization
  • Wireless Body Area Networks
  • Bluetooth and Wireless Communication Technologies

Amirkabir University of Technology
2022-2023

In the Internet of Things (IoT), Low-Power Wide-Area Networks (LPWANs) are designed to provide low energy consumption while maintaining a long communications’ range for End Devices (EDs). LoRa is communication protocol that can cover wide with consumption. To evaluate efficiency Network (LoRaWAN), three criteria be considered, namely, Packet Delivery Rate (PDR), Energy Consumption (EC), and coverage area. A set transmission parameters have configured establish link. These affect data rate,...

10.3390/s23042363 article EN cc-by Sensors 2023-02-20

This paper focuses on improving the resource allocation algorithm in terms of packet delivery ratio (PDR), i.e., number successfully received packets sent by end devices (EDs) a long-range wide-area network (LoRaWAN). Setting transmission parameters significantly affects PDR. Employing reinforcement learning (RL), we propose that enables EDs to conFigure their distributed manner. We model problem as multi-armed bandit (MAB) and then address it proposing two-phase named MIX-MAB, which...

10.1109/vtc2022-spring54318.2022.9860807 article EN 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring) 2022-06-01

The long-range and low energy consumption re-quirements in Internet of Things (IoT) applications have led to a new wireless communication technology known as Low Power Wide Area Network (LPWANs). In recent years, the Long Range (LoRa) protocol has gained lot attention one most promising technologies LPWAN. Choosing right combination transmission parameters is major challenge LoRa networks. LoRa, an Adaptive Data Rate (ADR) mechanism executed configure each End Device's (ED) trans-mission...

10.1109/wimob55322.2022.9941614 article EN 2022-10-10

This paper focuses on improving the resource allocation algorithm in terms of packet delivery ratio (PDR), i.e., number successfully received packets sent by end devices (EDs) a long-range wide-area network (LoRaWAN). Setting transmission parameters significantly affects PDR. Employing reinforcement learning (RL), we propose that enables EDs to configure their distributed manner. We model problem as multi-armed bandit (MAB) and then address it proposing two-phase named MIX-MAB, which...

10.48550/arxiv.2206.03401 preprint EN cc-by arXiv (Cornell University) 2022-01-01

The long-range and low energy consumption requirements in Internet of Things (IoT) applications have led to a new wireless communication technology known as Low Power Wide Area Network (LPWANs). In recent years, the Long Range (LoRa) protocol has gained lot attention one most promising technologies LPWAN. Choosing right combination transmission parameters is major challenge LoRa networks. LoRa, an Adaptive Data Rate (ADR) mechanism executed configure each End Device's (ED) parameters,...

10.48550/arxiv.2210.14583 preprint EN other-oa arXiv (Cornell University) 2022-01-01
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