Hybrid Power Management System for LoRa Communication Using Renewable Energy

Petrariu, Adrian I.; Lavric, Alexandru; Coca, Eugen; Popa, Valeríu

doi:10.1109/jiot.2020.3046324

Cited by 20 publications

(16 citation statements)

References 39 publications

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“…Currently, LoRa devices are used in various IoT applications to address some of the world’s biggest challenges ranging from smart cities [ 125 ], transportation [ 126 ], energy management [ 127 ], health monitoring [ 128 ], pollution control [ 129 ] and smart farming [ 130 ].…”

Section: Low Power Wide Area Network (Lpwans) Technologiesmentioning

confidence: 99%

Survey and Comparative Study of LoRa-Enabled Simulators for Internet of Things and Wireless Sensor Networks

Idris

Karunathilake

Förster

2022

Sensors

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The Internet of Things (IoT) is one of the most important emerging technologies, spanning a myriad of possible applications, especially with the increasing number and variety of connected devices. Several network simulation tools have been developed with widely varying focuses and used in many research fields. Thus, it is critical to simulate the work of such systems and applications before actual deployment. This paper explores the landscape of available IoT and wireless sensor networks (WSNs) simulators and compares their performance using the Low Power Wide Area Network (LPWAN) communication technology called LoRa (Long Range), which has recently gained a lot of interest. Using a systematic approach, we present a chronological survey of available IoT and WSNs simulation tools. With this, we categorized and content-analyzed published scientific papers in the IoT and WSNs simulation tools research domain by highlighting the simulation tools, study type, scope of study and performance measures of the studies. Next, we present an overview of LoRa/LoRaWAN technology by considering its architecture, transmission parameters, device classes and available simulation tools. Furthermore, we discussed three popular open-source simulation tools/frameworks, namely, NS-3, OMNeT++ (FLoRa) and LoRaSim, for the simulation of LoRa/LoRaWAN networks. Finally, we evaluate their performance in terms of Packet Delivery Ratio (PDR), CPU utilization, memory usage, execution time and the number of collisions.

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Section: Low Power Wide Area Network (Lpwans) Technologiesmentioning

confidence: 99%

Survey and Comparative Study of LoRa-Enabled Simulators for Internet of Things and Wireless Sensor Networks

Idris

Karunathilake

Förster

2022

Sensors

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“…This module has a particular feature: a very low-power consumption of only 72 mW at a 1.8 V voltage rating. microcontrol- The MSMN uses the platform proposed in [27] as the main board. This platform has a LoRa communication module to provide a long-distance communication and to cover the areas where other communication types like GSM/GPRS have a poor coverage.…”

Section: Multi-sensor Monitoring Nodementioning

confidence: 99%

“…The solution proposed in [27] is a modular one. Thus, miscellaneous sensors for data acquisition can be integrated on the main board.…”

Section: Multi-sensor Monitoring Nodementioning

confidence: 99%

“…To optimize the energy consumption of the node, the algorithm proposed in [27] is used. Firstly, the MCU, the BME680, and the MQ-131 sensors are woken up.…”

Section: Multi-sensor Monitoring Nodementioning

confidence: 99%

“…The hardware platform from [27] with the new features added will need approximately 243 mA in active mode with SF7 and 352 mA with SF12. These consumption values are given for the worst-case scenario, when all the components from the platform are active at the same time.…”

Section: Multi-sensor Monitoring Nodementioning

confidence: 99%

See 2 more Smart Citations

Large-Scale Internet of Things Multi-Sensor Measurement Node for Smart Grid Enhancement

Petrariu

Coca

Lavric

2021

Sensors

Self Cite

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Electric power infrastructure has revolutionized our world and our way of living has completely changed. The necessary amount of energy is increasing faster than we realize. In these conditions, the grid is forced to run against its limitations, resulting in more frequent blackouts. Thus, urgent solutions need to be found to meet this greater and greater energy demand. By using the internet of things infrastructure, we can remotely manage distribution points, receiving data that can predict any future failure points on the grid. In this work, we present the design of a fully reconfigurable wireless sensor node that can sense the smart grid environment. The proposed prototype uses a modular developed hardware platform that can be easily integrated into the smart grid concept in a scalable manner and collects data using the LoRaWAN communication protocol. The designed architecture was tested for a period of 6 months, revealing the feasibility and scalability of the system, and opening new directions in the remote failure prediction of low voltage/medium voltage switchgears on the electric grid.

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Analysis of energy management in a hybrid renewable power system using MOA technique

Sailaja,

Rahimunnisa

2024

Environ Dev Sustain

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Hybrid Power Management System for LoRa Communication Using Renewable Energy

Cited by 20 publications

References 39 publications

Survey and Comparative Study of LoRa-Enabled Simulators for Internet of Things and Wireless Sensor Networks

Survey and Comparative Study of LoRa-Enabled Simulators for Internet of Things and Wireless Sensor Networks

Large-Scale Internet of Things Multi-Sensor Measurement Node for Smart Grid Enhancement

Analysis of energy management in a hybrid renewable power system using MOA technique

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