A Comparative Study of LoRa and IEEE 802.15.4-Based IoT Deployments Inside School Buildings

Fraile, Lidia Pocero; Tsampas, Stelios; Mylonas, Georgios; Amaxilatis, Dimitrios

doi:10.1109/access.2020.3020685

Cited by 30 publications

(12 citation statements)

References 38 publications

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“…Various experimental tests have been performed in real-world environments. LoRa networks have been studied in cases ranging from indoor [ 18 , 19 ] and urban/suburban [ 20 , 21 ] scenarios to rural [ 22 ] and mountain [ 23 , 24 ] environments. In [ 25 ], the researchers provided a comprehensive evaluation of LoRa networks in urban, suburban, and rural environments, considering both static and dynamic conditions.…”

Section: Related Workmentioning

confidence: 99%

LoRa-Based IoT Network Assessment in Rural and Urban Scenarios

Griva

Boursianis

Wan

et al. 2023

Sensors

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The implementation of smart networks has made great progress due to the development of the Internet of Things (IoT). LoRa is one of the most prominent technologies in the Internet of Things industry, primarily due to its ability to achieve long-distance transmission while consuming less power. In this work, we modeled different environments and assessed the performances of networks by observing the effects of various factors and network parameters. The path loss model, the deployment area size, the transmission power, the spreading factor, the number of nodes and gateways, and the antenna gain have a significant effect on the main performance metrics such as the energy consumption and the data extraction rate of a LoRa network. In order to examine these parameters, we performed simulations in OMNeT++ using the open source framework FLoRa. The scenarios which were investigated in this work include the simulation of rural and urban environments and a parking area model. The results indicate that the optimization of the key parameters could have a huge impact on the deployment of smart networks.

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Section: Related Workmentioning

confidence: 99%

LoRa-Based IoT Network Assessment in Rural and Urban Scenarios

Griva

Boursianis

Wan

et al. 2023

Sensors

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“…LoRa ® is an abbreviation for "Long Range" and is the name of a physical layer proprietary LPWAN technology founded on the spread spectrum modulation technique that is plagiaristic of the Chirp Spread Spectrum (CSS). LoRa has emerged as a boon for the IoT, particularly for wide-area data haulage, due to its low power, low bandwidth, and long range capability [68]- [72]. LoRa devices offer fascinating characteristics for IoT use cases that include long-range communication, low power demand, and secure data transfer.…”

Section: B Iot Lpwan Lora ® and Lorawan ®mentioning

confidence: 99%

An Efficient LoRa-Enabled Smart Fault Detection and Monitoring Platform for the Power Distribution System Using Self-Powered IoT Devices

et al. 2022

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Transient stability and supply disturbances are common yet unwelcome phenomena in power distribution systems, particularly in sub-Saharan Africa. The growing demand for greater reliability and dependability in power delivery has aroused the interest of researchers and renewed the pursuit of advanced technological solutions for fault detection and location determination at medium and low-voltage levels. The length of the distribution network typically ranges from hundreds to thousands of kilometers. In this regard, the management of distribution networks, including the identification of faulty segments, is a significant recurrent challenge facing power-system operators. With the ever-expanding distribution network and regulatory demands for service reliability, the challenge for network operators is daunting. However, the deployment of IoT technologies in the energy distribution infrastructure would significantly accelerate the detection and location of faults, thus transforming the electricity delivery service into one that is responsive, communicative, attractive, and robust. This study proposes, designs, and implements a reasonably priced LoRaWAN-based IoT platform for monitoring distribution networks. The study was conducted in Nakuru County, Kenya on an actual and active distribution network owned and managed by Kenya Power Company. Experimental results showed that a trigger is generated at the network-monitoring center in about 100 msec of the occurrence of a fault on the distribution network, thus enabling quick, prompt, and immediate commencement of reparative action. Furthermore, practical evaluation has shown that this platform is well adapted for the context of developing countries where budgetary constraints and cost prohibitions hinder the upgrade of the legacy grid into fully-fledged smart entities.

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“…Through the above two technologies of sensing and networking, human beings can enjoy applications related to any object of interest around them at any time and in any place by any network access method. IoT has been applied in fields such as smart first aid kits for medical care [10,11], management and environmental monitoring for power systems [12], smart learning services for educational resources [13], and smart green buildings for construction projects [14]. Its application range covers food, clothing, residences, transportation, education, and entertainment, as shown in Fig.…”

Section: Internet Of Thingmentioning

confidence: 99%

“…In this study, the main parameters of the index analysis were the SDNN analysis values, and the index values were analyzed and computed by using an algorithm, using the reference Eqs. shown in ( 11)- (14). The algorithm calculation was performed on the heart rate variability acquired by the electrocardiogram during a short period of time using the smartphone application [33].…”

Section: Hrv Value Time Domain Analysismentioning

confidence: 99%

Using Mobile Technology to Construct a Network Medical Health Care System

Hsiao¹,

Sung²

2022

Intelligent Automation &Amp; Soft Computing

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In this study, a multisensory physiological measurement system was built with wireless transmission technology, using a DSPIC30F4011 as the master control center and equipped with physiological signal acquisition modules such as an electrocardiogram module, blood pressure module, blood oxygen concentration module, and respiratory rate module. The physiological data were transmitted wirelessly to Android-based mobile applications via the TCP/IP or Bluetooth serial ports of Wi-Fi. The Android applications displayed the acquired physiological signals in real time and performed a preliminary abnormity diagnosis based on the measured physiological data and built-in index diagnostic data provided by doctors, such as blood oxygen concentration, systolic pressure, and diastolic pressure. In addition, in this study, the R waves, which are the highest peaks of the PQRST waves in electrocardiograms, were analyzed and detected using the heart rate variability (HRV) for time-frequency analysis and calculation of the RR interval time series. In this study, the heart rate data in the same age group were collected, and the optimal value of the standard deviation of normal to normal (SDNN) during the time domain of a normal heartbeat was found using the particle swarm optimization (PSO) algorithm and set as the risk level of the SDNN time domain analysis. A spectral analysis on the activity of the autonomic nervous system (ANS) was performed and the preliminary analysis results were displayed on the Android handheld devices for comprehensive physiological data analysis and HRV time-frequency analysis. Healthcare needs are distributed at all levels, therefore user-friendly software interfaces have been written to meet the healthcare needs at all ages.

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A Comparative Study of LoRa and IEEE 802.15.4-Based IoT Deployments Inside School Buildings

Cited by 30 publications

References 38 publications

LoRa-Based IoT Network Assessment in Rural and Urban Scenarios

LoRa-Based IoT Network Assessment in Rural and Urban Scenarios

An Efficient LoRa-Enabled Smart Fault Detection and Monitoring Platform for the Power Distribution System Using Self-Powered IoT Devices

Using Mobile Technology to Construct a Network Medical Health Care System

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