On the Performance of Narrow-band Internet of Things (NB-IoT) for Delay-tolerant Services

Možný, Radek; Mašek, Pavel; Štůsek, Martin; Zeman, Krystof; Ometov, Aleksandr; Hošek, Jiří

doi:10.1109/tsp.2019.8768871

Cited by 20 publications

(17 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several works have evaluated NB-IoT technology in terms of its UE's power consumption analysis and battery life-time estimations [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22] that can be categorized into analytical, simulations, and experimental measurements based analysis. Most of these works provide analytical models with simulation based energy estimations [6]- [14].…”

Section: A State Of the Artmentioning

confidence: 99%

Section: A State Of the Artmentioning

confidence: 99%

“…Several works have also provided experimental power consumption analysis of the NB-IoT technology, such as [15]- [22]. For example, the work in [15] focuses on the design of an NB-IoT prototype for delay-tolerant applications while operating in different coverage levels of the network. Although this work provides power consumption measurements of the NB-IoT UE as a whole, the individual power consumption details for each state of the operating mode of radio/node are missing.…”

Section: A State Of the Artmentioning

confidence: 99%

See 2 more Smart Citations

An Empirical Modelling for the Baseline Energy Consumption of an NB-IoT Radio Transceiver

Khan¹,

Alam²,

Moullec³

et al. 2021

Preprint

View full text Add to dashboard Cite

NarrowBand Internet of Things (NB-IoT) is an emerging cellular IoT technology that offers attractive features for deploying low-power wide area networks suitable for implementing massive machine type communications. NB-IoT features include e.g. extended coverage and deep penetration for massive connectivity, longer battery-life, appropriate throughput and desired latency at lower bandwidth. Regarding the device energy consumption, NB-IoT is mostly under-estimated for its control and signaling overheads, which calls for a better understanding of the energy consumption profiling of an NB-IoT radio transceiver. With this aim, this work presents a thorough investigation of the energy consumption profiling of Radio Resource Control (RRC) communication protocol between an NB-IoT radio transceiver and a cellular base-station. Using two different commercial off the shelf NB-IoT boards and two Mobile Network Operators (MNOs) NB-IoT test networks operational at Tallinn University of Technology, Estonia, we propose an empirical baseline energy consumption model. Based on comprehensive analyses of the profile traces from the widely used BG96 NB-IoT module operating in various states of RRC protocol, our results indicate that the proposed model accurately depicts the baseline energy consumption of an NB-IoT radio transceiver while operating at different coverage class levels. The evaluation errors for our proposed model vary between 0.33% and 15.38%.<br>

show abstract

Section: A State Of the Artmentioning

confidence: 99%

Section: A State Of the Artmentioning

confidence: 99%

Section: A State Of the Artmentioning

confidence: 99%

See 1 more Smart Citation

An Empirical Modelling for the Baseline Energy Consumption of an NB-IoT Radio Transceiver

Khan¹,

Alam²,

Moullec³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…While some measurements have been done, not all of them were performed in a real-world environment, which is essential to verify the end-user QoS. Mozny et al [7] analyzed attachment delay, latency, and message overhead under laboratory conditions. The analysis was based on five samples per measurement, which is a relatively low sample size.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Analysis of Narrowband IoT Quality of Service

Matz

Fernández-Prieto

Canada-Bago

et al. 2020

Sensors

View full text Add to dashboard Cite

Narrowband-IoT (NB-IoT) is part of a novel group of access technologies referred to as Low-Power Wide Area Networks (LPWANs), which provide energy-efficient and long-range network access to IoT devices. Although NB-IoT Release 13 has been deployed by Mobile Network Operators (MNO), detailed Quality of Service (QoS) evaluations in public networks are still rare. In this paper, systematic physical layer measurements are conducted, and the application layer performance is verified. Special consideration is given to the influence of the radio parameters on the application layer QoS. Additionally, NB-IoT is discussed in the context of typical smart metering use cases. The results indicate that NB-IoT meets most theoretical Third Generation Partnership Project (3GPP) design goals in a commercial deployment. NB-IoT provides a wide coverage by using signal repetitions, which improve the receiver sensitivity, but simultaneously increase the system latency. The maximum data rates are consistent over a wide range of coverage situations. Overall, NB-IoT is a reliable and flexible LPWAN technology for sensor applications even under challenging radio conditions. Four smart metering transmission categories are analyzed, and NB-IoT is verified to be appropriate for applications that are not latency sensitive.

show abstract

“…After broad adoption of the Internet of Things (IoT), growing interest from industry, researchers, governments, and developers was given to IoT's particular niche -Industrial IoT (IIoT) [5]. This sector aims at covering the machine-to-machine communications (M2M) domain and topics related to modern Wireless Sensor Networks (WSNs) including ones operating in both licensed [6,7] and unlicensed bands [8,9].…”

Section: Introductionmentioning

confidence: 99%

Environmental Monitoring with Distributed Mesh Networks: An Overview and Practical Implementation Perspective for Urban Scenario

Ometov

Bezzateev

Voloshina

et al. 2019

Sensors

Self Cite

View full text Add to dashboard Cite

Almost inevitable climate change and increasing pollution levels around the world are the most significant drivers for the environmental monitoring evolution. Recent activities in the field of wireless sensor networks have made tremendous progress concerning conventional centralized sensor networks known for decades. However, most systems developed today still face challenges while estimating the trade-off between their flexibility and security. In this work, we provide an overview of the environmental monitoring strategies and applications. We conclude that wireless sensor networks of tomorrow would mostly have a distributed nature. Furthermore, we present the results of the developed secure distributed monitoring framework from both hardware and software perspectives. The developed mechanisms provide an ability for sensors to communicate in both infrastructure and mesh modes. The system allows each sensor node to act as a relay, which increases the system failure resistance and improves the scalability. Moreover, we employ an authentication mechanism to ensure the transparent migration of the nodes between different network segments while maintaining a high level of system security. Finally, we report on the real-life deployment results.

show abstract

On the Performance of Narrow-band Internet of Things (NB-IoT) for Delay-tolerant Services

Cited by 20 publications

References 7 publications

An Empirical Modelling for the Baseline Energy Consumption of an NB-IoT Radio Transceiver

An Empirical Modelling for the Baseline Energy Consumption of an NB-IoT Radio Transceiver

A Systematic Analysis of Narrowband IoT Quality of Service

Environmental Monitoring with Distributed Mesh Networks: An Overview and Practical Implementation Perspective for Urban Scenario

Contact Info

Product

Resources

About