Analysis and assessment of LoRaWAN

Phung, Kieu-Ha; Tran, Hieu Minh; Nguyen, Quan Hai; Hương, Trương Thu; Nguyen, Thanh-Long

doi:10.1109/sigtelcom.2018.8325799

Cited by 37 publications

(15 citation statements)

References 1 publication

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“…This systematic trade-off underpins the long range operation of LP-WAN technologies. The value of σ in LP-WANs is typically lower than -128 dBm (-129 dBm to -155 dBm) and ranges from -90 dBm to -110 dBm [45] in traditional wireless systems such as Wi-Fi [46]. The implication is that in terms of absolute signal power in Watts, LP-WAN receivers can detect wireless signals that are 1000 times weaker than Wi-Fi and other technologies with -100 dBm sensitivity.…”

Section: Link Budget and Implications In Lp-wansmentioning

confidence: 99%

Low-Power Wide Area Network Technologies for Internet-of-Things: A Comparative Review

Ikpehai

Adebisi

Rabie

et al. 2019

IEEE Internet Things J.

245

134

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The rapid growth of Internet-of-Things (IoT) in the current decade has led to the development of a multitude of new access technologies targeted at low-power, wide area networks (LP-WANs). However, this has also created another challenge pertaining to technology selection. This paper reviews the performance of LP-WAN technologies for IoT, including design choices and their implications. We consider Sigfox, LoRaWAN, WavIoT, random phase multiple access (RPMA), narrow band IoT (NB-IoT) as well as LTE-M and assess their performance in terms of signal propagation, coverage and energy conservation. The comparative analyses presented in this paper are based on available data sheets and simulation results. A sensitivity analysis is also conducted to evaluate network performance in response to variations in system design parameters. Results show that each of RPMA, NB-IoT and LTE-M incurs at least 9 dB additional path loss relative to Sigfox and LoRaWAN. This study further reveals that with a 10% improvement in receiver sensitivity, NB-IoT 882 MHz and LoRaWAN can increase coverage by up to 398% and 142% respectively, without adverse effects on the energy requirements. Finally, extreme weather conditions can significantly reduce the active network life of LP-WANs. In particular, the results indicate that operating an IoT device in a temperature of-20 • C can shorten its life by about half; 53% (WavIoT, LoRaWAN, Sigfox, NB-IoT, RPMA) and 48% in LTE-M compared with environmental temperature of 40 • C.

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Section: Link Budget and Implications In Lp-wansmentioning

confidence: 99%

Low-Power Wide Area Network Technologies for Internet-of-Things: A Comparative Review

Ikpehai

Adebisi

Rabie

et al. 2019

IEEE Internet Things J.

245

134

View full text Add to dashboard Cite

show abstract

“…These parameters influence the effective bitrate of the modulation, its resistance to interference noise, and its ease of decoding. Noreen et al [42] provided in depth analysis of the impact of these three parameters on the data rate and time on air, and Phung et al [43] provided an in-depth analysis and assessment of LoRaWAN functional components: its capabilities (total traffic load, packet delivery quality) versus its efficiency (collision and frequency usage).…”

Section: Loramentioning

confidence: 99%

Performance Optimization LoRa Network by Artificial Bee Colony Algorithm to Determination of the Load Profiles in Dwellings

Caño

Sánchez-Sutil

2020

Energies

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This paper presents a system to improve the performance of the Long Range (LoRa) network using an algorithm derived from the artificial bee colony (ABC), which obtains a minimum packet lost rate (PLR) in the LoRa network and allows to more accurately determine load profiles of dwellings, with smaller a time measurement and less data transmission. The developed algorithm calculates the configuration parameters of the LoRa network, monitoring in real time the data traffic, and is implemented in gateway LoRa network monitor (GLNM). Intelligent measurement equipment has been developed to determine the dwelling load profiles. This energy measurement device for dwelling (EMDD) measures the variables and consumption of electricity in each home with measurement times that can be configured. This research also develops the GLNM gateway, which monitors and receives data from the EMDDs installed and uploads them to the cloud using Firebase. This developed system allows to perform demand forecasting studies, analysis of home consumption, optimization of electricity tariffs, etc., applied to smart grids.

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“…End-devices send data to gateways over a single wireless hop and gateways relay messages to/from central network servers through a non-LoRa LPWAN network. Noreen et al [38] provides in depth analysis of the impact of these three parameters on the data rate and time on air, and the paper [39] offers an in-depth analysis and assessment of LoRa LPWAN…”

Section: Lora Networkmentioning

confidence: 99%

“…Noreen et al [38] provides in depth analysis of the impact of these three parameters on the data rate and time on air, and the paper [39] offers an in-depth analysis and assessment of LoRa LPWAN functional components: its capabilities (total traffic load, packet delivery quality) versus its efficiency (collision and frequency usage).…”

Section: Lora Networkmentioning

confidence: 99%

Smart Public Lighting Control and Measurement System Using LoRa Network

Sánchez-Sutil

Caño

2020

Electronics

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The installation of smart meters in smart cities to monitor streetlights (SLs) provides easy access to measurements of electrical variables and lighting levels, which improves the operation of installation. The use of smart meters in cities requires temporary high-resolution data to improve the energy efficiency (EE) of SLs. Long range (LoRa) is an ideal wireless protocol for use in smart cities due to its low energy consumption, secure communications, and long range indoors and outdoors. For this purpose, we developed a low-cost new system and successfully evaluated it by developing three devices, namely the measure and control device for street lights (MCDSL), lighting level measurement device (LLMD) and gateway LoRa network (GWLN), based on the Arduino open-source electronic platform. This paper describes the hardware and software design and its implementation. Further, an algorithm has been developed to enhance the energy efficiency of public lights using MCDSL, the energy efficiency for street lights (EESL) algorithm, that use the illumination level measured on the same set of SLs with a dynamic control, which assumed different lighting levels throughout the night, and adjusted luminous flux based on the traffic intensity of pedestrians. It sends the acquired data through the LoRa low-power wide-area-network (LPWAN) to the cloud.

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Analysis and assessment of LoRaWAN

Cited by 37 publications

References 1 publication

Low-Power Wide Area Network Technologies for Internet-of-Things: A Comparative Review

Low-Power Wide Area Network Technologies for Internet-of-Things: A Comparative Review

Performance Optimization LoRa Network by Artificial Bee Colony Algorithm to Determination of the Load Profiles in Dwellings

Smart Public Lighting Control and Measurement System Using LoRa Network

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