A comprehensive review on LoRa implementation in IoT application domains

Lavanya, P.; Subbareddy, I. V.

doi:10.1063/5.0108994

Cited by 2 publications

(4 citation statements)

References 48 publications

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“…Further, it has the advantage of monitoring the temperature sensors, the filters' differential pressure switches, and the fan's current transducers switch, pressure sensor, and duct smoke detector. It can demonstrate a report for all controlled and monitored values based on IoT [41][42][43]. Figure 10 demonstrates different ways for monitoring and controlling devices in BMS, such as remote notification, operator tasks, and a trend viewer.…”

Section: Architecture Of Bms Systemmentioning

confidence: 99%

Section: Internet Of Things (Iot)mentioning

confidence: 99%

“…IoT is adopted for a wide range of industries and other applications (see Figure 14) [41][42][43][44][45][46][47][48]. IoT is recommended to enhance efficiency of operation, provide good customer service, progress in making decisions, and develop the value of businesses [41][42][43][44][45][46][47][48]. The system of IoT is constructed from web-based smart devices that collect, send, and act on data from their environments via sensors, CPUs, and hardware communication.…”

Section: Internet Of Things (Iot)mentioning

confidence: 99%

“…In fact, the IoT can be used to improve how people live, deal with situations, and achieve complete control over many aspects of their lives. Further, IoT is a good choice for businesses because it can provide smart tools to automate facilities and homes [41][42][43][44][45][46]. IoT can provide businesses with detailed information about the performance of machines and accurate status of systems that work to provide logistical operations [41][42][43][44][45][46][47].…”

Section: Internet Of Things (Iot)mentioning

confidence: 99%

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Reliable Integration of Neural Network and Internet of Things for Forecasting, Controlling, and Monitoring of Experimental Building Management System

et al. 2023

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In this paper, Internet of Things (IoT) and artificial intelligence (AI) are employed to solve the issue of energy consumption in a case study of an education laboratory. IoT enables deployment of AI approaches to establish smart systems and manage the sensor signals between different equipment based on smart decisions. As a result, this paper introduces the design and investigation of an experimental building management system (BMS)-based IoT approach to monitor status of sensors and control operation of loads to reduce energy consumption. The proposed BMS is built on integration between a programmable logic controller (PLC), a Node MCU ESP8266, and an Arduino Mega 2560 to perform the roles of transferring and processing data as well as decision-making. The system employs a variety of sensors, including a DHT11 sensor, an IR sensor, a smoke sensor, and an ultrasonic sensor. The collected IoT data from temperature sensors are used to build an artificial neural network (ANN) model to forecast the temperature inside the laboratory. The proposed IoT platform is created by the ThingSpeak platform, the Bylink dashboard, and a mobile application. The experimental results show that the experimental BMS can monitor the sensor data and publish the data on different IoT platforms. In addition, the results demonstrate that operation of the air-conditioning, lighting, firefighting, and ventilation systems could be optimally monitored and managed for a smart system with an architectural design. Furthermore, the results prove that the ANN model can perform a distinct temperature forecasting process based on IoT data.

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Section: Architecture Of Bms Systemmentioning

confidence: 99%