An innovative LPWA network scheme to increase system reliability in remote monitoring

D’Aloia, Matteo; Longo, Annalisa; Russo, Ruggero; Stanisci, Sante; Amendolare, Davide; Rízzí, María; Vessia, Marco; Lomastro, Federico

doi:10.1109/eesms.2017.8052684

Cited by 8 publications

(4 citation statements)

References 12 publications

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“…Apart from the various analytical models that have been reported [23]- [25], other experimental studies have been conducted to individually evaluate different aspects of LP-WAN including coverage [26], [27], energy consumption [28], capacity [22], [29], [30] and scalability [23], [24], [30]. The main commonality in these and many other existing studies is that they mostly focused on one or two technologies.…”

Section: Related Workmentioning

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.

248

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: Related Workmentioning

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.

248

134

View full text Add to dashboard Cite

show abstract

“…LPWANs are popular for a number of unique characteristics, some of which are: they provide low power consumption rates [4], simplified network topologies, low developmental and purchase cost of devices, long transmission ranges (distance), simple and scalable deployment schemes, thin infrastructure, small data frame sizes, albeit at low data rates [4,5]. These characteristics closely align with the aforementioned demands of many IoT applications, thereby serving to motivate the present drive towards the development and performance improvement of new and existing LPWAN technologies [6][7][8][9][10]. Although LPWANs may not necessarily satisfy all the communication requirements of all the different IoT-based application areas, such as the provision of high data rates, nevertheless, they are envisioned to complement other communication technologies towards guaranteeing the holistic success of all IoT-based applications.…”

Section: Introductionmentioning

confidence: 99%

Low Power Wide Area Network, Cognitive Radio and the Internet of Things: Potentials for Integration

Onumanyi

Abu‐Mahfouz

Hancke

2020

Sensors

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The Internet of Things (IoT) is an emerging paradigm that enables many beneficial and prospective application areas, such as smart metering, smart homes, smart industries, and smart city architectures, to name but a few. These application areas typically comprise end nodes and gateways that are often interconnected by low power wide area network (LPWAN) technologies, which provide low power consumption rates to elongate the battery lifetimes of end nodes, low IoT device development/purchasing costs, long transmission range, and increased scalability, albeit at low data rates. However, most LPWAN technologies are often confronted with a number of physical (PHY) layer challenges, including increased interference, spectral inefficiency, and/or low data rates for which cognitive radio (CR), being a predominantly PHY layer solution, suffices as a potential solution. Consequently, in this article, we survey the potentials of integrating CR in LPWAN for IoT-based applications. First, we present and discuss a detailed list of different state-of-the-art LPWAN technologies; we summarize the most recent LPWAN standardization bodies, alliances, and consortia while emphasizing their disposition towards the integration of CR in LPWAN. We then highlight the concept of CR in LPWAN via a PHY-layer front-end model and discuss the benefits of CR-LPWAN for IoT applications. A number of research challenges and future directions are also presented. This article aims to provide a unique and holistic overview of CR in LPWAN with the intention of emphasizing its potential benefits.

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“…All the indicators data are obtained by calling the operation function every time, and then by careful calculation, which has a certain degree of authenticity and reliability. SINR is specifically the ratio of the signal power (useful signal) to the unwanted noise power [15]. This approach measures the quality of wireless connections.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Effect of the Reliability of the NB-Iot Network on the Intelligent System

Jia

Zhu

et al. 2019

IEEE Access

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With the rapid development of the Internet of Things (IoT) in recent years, the popularization of different segments of IoT has emerged. The IoT technology is slowly evolving toward intelligence, convenience, low power consumption, large connectivity, and wide coverage. This evolution is significantly attributed to the emergence of Narrowband of Internet of Thing (NB-IoT). NB-IoT is an emerging technology with wide-coverage, large-connection, low-power consumption, and low-costs. The intelligent system based on NB-IoT, an important branch of the IoT field, has various functions and is widely used. However, the intelligent system based on NB-IoT also generates reliability problems, caused by hardware, software, and networks. Therefore, this study deeply evaluates the impact of the NB-IoT network on the reliability of IoT intelligent systems. We simulated the real-world scenario by using the ns-3 simulator, and then carried out several data transmission experiments and recorded the relevant data of transmission performance indicators, finally calculated and analyzed the reliability results by using quantitative reliability indicators. The three main experiments respectively change the transmission distance of the NB-IoT signal, increase the access amount of the NB-IoT signal in the system, and increase the obstacles in the transmission path. The experimental results are represented by the signal-to-interference ratio (SINR), throughput rate, packet loss rate, and correct rate of the received data block and loss. Finally, we verify the impact of the NB-IoT network on system reliability on the basis of the experimental results.

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An innovative LPWA network scheme to increase system reliability in remote monitoring

Cited by 8 publications

References 12 publications

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

Low Power Wide Area Network, Cognitive Radio and the Internet of Things: Potentials for Integration

Analysis of the Effect of the Reliability of the NB-Iot Network on the Intelligent System

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