An Application Based Comparative Study of LPWAN Technologies for IoT Environment

Iqbal, Mehzabien; Abdullah, Abu Yousha Md; Shabnam, Farzana

doi:10.1109/tensymp50017.2020.9230597

Cited by 35 publications

(21 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The reach of LPWANs varies but can be greater than 15000 meters depending on the specific technology, with payloads of up to 1000 bytes [51], [65]. As such, the term LPWAN does not refer to a specific technology but is a generic term used for various long-reach but low-power-consuming networking technologies that come in various shapes, sizes, and flavors [66]. LPWANs can be proprietary or open-standard, and they can use licensed or unlicensed frequency bands [67].…”

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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…LPWAN is wireless communication network for long range communication system based on Low Power device and small packet data transmission [4]. Judging from the power usage and communication distance between each device can be seen in Fig.…”

Section: A Radio Frequencymentioning

confidence: 99%

Improving UAV Radio Control System with 433 MHz Radio Wave Using Lo-Ra based on QCZEK Model Communication System

Fadila

2022

View full text Add to dashboard Cite

UAV must have a reliable control system considering the UAV is an unmanned vehicle that relies on human control on the ground. Most of control system used in UAVs uses a 2.4 GHz as it frequency. This frequency has disadvantaged for UAV because it is mainly used for Wi-Fi communication system so when users of UAV’s fly in urban areas where full of Wi-Fi system, there will be interference within UAV control system and Wi-Fi, so failsafe will often occur. From the theory, different frequencies produce different criteria for radiofrequency communication system to synchronize and manage and secure communication between transmitter and receiver. In this study, we will discuss the application of 433 MHz frequency for the control system for UAV. The goal of this research is to establish a reliable control system of UAV when used for the long-range mission. To make this control system, we use the Lo-Ra module with STM32 based Microcontroller designed for QCZEK TX/RX model communication. After several testing on the ground and the air, the purpose system serve 14 % longer distance than TBS system or market build system and 6 times longer distances than 2.4Ghz frequencies.

show abstract

“…Core IoT technology can be further decomposed according to the type of computation to: (1) IoT platform, (2) Raspberry Pi, (3) Arduino Uno, (4) Wireless Sensor Network (WSN), (5) sensors, and (6) actuators. Respectively, passive monitoring technology can be categorized to: (1) Radio Frequency IDentifier (RFID) equipment, (2) Global Positioning System (GPS) device, (3) Ethernet protocol, (4) Wi-Fi, (5) Bluetooth, (6) ZigBee, (7) Near Field Communication (NFC), (8) 4G, (9) 5G, and (10) Low Power Wide Area Networks (LPWAN), which contain technologies such as SigFox, LoRa, LTE-M or NB-IoT, [16], [17], [18], [19], [20], [21], [22], [23]. Active monitoring devices are divided to: (1) cameras, (2) microphones, (3) smartphones, (4) smart watches, and (5) Autonomous Teller Machines (ATM).…”

Section: Proposed Taxonomymentioning

confidence: 99%

Challenges and Solutions of Surveillance Systems in IoT-Enabled Smart Campus: A Survey

Anagnostopoulos¹,

Kostakos

Zaslavsky

et al. 2021

IEEE Access

View full text Add to dashboard Cite

A Smart Campus is a miniature of a Smart City with a more demanding framework that enables learning, social interaction and creativity. To ensure a Smart Campus uninterruptible secure operation, a key requirement is that daily routines and activities are performed protected in an environment monitored unobtrusively by a robust surveillance system. The various components that compose such an environment, buildings, labs, public spaces, smart lighting, smart parking, or even smart traffic lights, require us to focus on surveillance systems, and recognize which detection activities to establish. In this paper, we perform a comparative assessment in the area of surveillance systems for Smart Campuses. A proposed taxonomy for IoT-enabled Smart Campus unfold five research dimensions: (1) physical infrastructure; (2) enabling technologies; (3) software analytics; (4) system security; and (5) research methodology. By applying this taxonomy and by adopting a weighted scoring model on the surveyed systems, we first present the state-ofthe-art, and then we make a comparative assessment and classify the systems. We extract valuable conclusions and inferences from this classification, providing insights and directions towards required services offered by surveillance systems for Smart Campus.

show abstract

An Application Based Comparative Study of LPWAN Technologies for IoT Environment

Cited by 35 publications

References 14 publications

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

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

Improving UAV Radio Control System with 433 MHz Radio Wave Using Lo-Ra based on QCZEK Model Communication System

Challenges and Solutions of Surveillance Systems in IoT-Enabled Smart Campus: A Survey

Contact Info

Product

Resources

About