Energy consumption analytical modeling of NB-IoT devices for diverse IoT applications

García-Martín, Juan Pablo; Torralba, A.

doi:10.1016/j.comnet.2023.109855

Cited by 4 publications

(3 citation statements)

References 29 publications

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“…In future work, we also plan to explore different ways of optimizing the communication between the agents, such as using compression techniques, reducing the number of messages between the agents, or implementing selective model updates. Furthermore, we intend to address the question of how to optimize the use of energy and batteries in adaptive smart areas, as presented in [ 53 , 54 ]. Another future work direction is to evaluate the performance and effectiveness of CoL in different scenarios and applications where the agents may have different characteristics, objectives, and constraints, measuring the model’s accuracy, convergence rate, and communication overheads.…”

Section: Discussionmentioning

confidence: 99%

Extending the Framework for Developing Intelligent Virtual Environments (FIVE) with Artifacts for Modeling Internet of Things Devices and a New Decentralized Federated Learning Based on Consensus for Dynamic Networks

Rebollo,

Rincon,

Hernández

et al. 2024

Sensors

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One of the main lines of research in distributed learning in recent years is the one related to Federated Learning (FL). In this work, a decentralized Federated Learning algorithm based on consensus (CoL) is applied to Wireless Ad-hoc Networks (WANETs), where the agents communicate with other agents to share their learning model as they are available to the wireless connection range. When deploying a set of agents, it is essential to study whether all the WANET agents will be reachable before the deployment. The paper proposes to explore it by generating a simulation close to the real world using a framework (FIVE) that allows the easy development and modification of simulations based on Unity and SPADE agents. A fruit orchard with autonomous tractors is presented as a case study. The paper also presents how and why the concept of artifact has been included in the above-mentioned framework as a way to highlight the importance of some devices used in the environment that have to be located in specific places to ensure the full connection of the system. This inclusion is the first step to allow Digital Twins to be modeled with this framework, now allowing a Digital Shadow of those devices.

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Section: Discussionmentioning

confidence: 99%

Extending the Framework for Developing Intelligent Virtual Environments (FIVE) with Artifacts for Modeling Internet of Things Devices and a New Decentralized Federated Learning Based on Consensus for Dynamic Networks

Rebollo,

Rincon,

Hernández

et al. 2024

Sensors

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“…Various approaches are found in the literature to boost the energy efficiency of NB-IoT communication; see [12][13][14][15] and the references within. They include discontinuous reception, power-saving mode, coverage extension and others.…”

Section: Literature Reviewmentioning

confidence: 99%

Enabling Extremely Energy-Efficient End-to-End Secure Communications for Smart Metering Internet of Things Applications Using Static Context Header Compression

Dumay,

Al Haj Hassan,

Surbayrole

et al. 2023

Applied Sciences

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Smart metering IoT applications are among the most energy-critical in the current panorama. Metering sensors are battery-powered and are expected to have a lifetime exceeding ten years. In order to achieve such long operation duration, a generic header compression mechanism named Static Context Header Compression (SCHC) has been introduced and accepted as a standard by the Internet Engineering Task Force (IETF). This paper aims to demonstrate the energy savings enabled by the use of SCHC on a cellular IoT network by the means of real-life implementation and measurements. Experiments are conducted in a controlled environment for different scenarios and considering multiple parameters such as message size and radio conditions. Measurements show the high impact of this header compression mechanism, particularly when the radio conditions are bad and repetitions are used to improve the reliability of the transmission: a reduction of up to 40% in energy consumption is observed. Using SCHC over the non-IP transport mode (NIDD) of NB-IoT compared to the legacy IP mode also enables significant energy savings and allows the latency to be reduced while maintaining the interoperability provided by the IP layer.

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“…Despite significant progress in supporting massive IoT connections with cellular IoT, it is worth pointing out that the devices in cellular IoT utilize active radio frequency units, resulting in relatively high circuit and transmission power consumption. Currently, most cellular IoT technologies operate at the power level of tens to hundreds of milliwatts [13]. However, certain IoT devices are constrained by their physical size and can not accommodate the battery, leading to the extremely-low power consumption requirement in the order of microwatts [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Modern Science Education in China

Wang

2021

Western Influences in the History of Science and Technology in Modern China

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Symbiotic radio (SR) has emerged as a spectrum-and energy-efficient paradigm to support massive Internet of Things (IoT) connections. Two multiple access schemes are proposed in this paper to facilitate the massive IoT connections using the cellular network based on the SR technique, namely, the simultaneous access (SA) scheme and the selection diversity access (SDA) scheme. In the SA scheme, the base station (BS) transmits information to the receiver while multiple IoT devices transmit their information simultaneously by passively backscattering the BS signal to the receiver, while in the SDA scheme, only the IoT device with the strongest backscatter link transmits information to the receiver.In both of the schemes, the receiver jointly decodes the information from the BS and the IoT devices.To evaluate the above two schemes, in this paper, we have derived the closed-form expressions of the ergodic rates and the outage probabilities for the cellular and IoT transmissions. Finally, numerical results are provided to verify the theoretical analysis and compare the two proposed multiple access schemes. When the number of IoT devices is small, the SDA scheme is more appealing since it can significantly reduce the computational complexity while achieving equivalent performance to the SA scheme. When the number of IoT devices is large, the SA scheme is preferable since it guarantees a significantly better rate performance and a lower outage probability.

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Energy consumption analytical modeling of NB-IoT devices for diverse IoT applications

Cited by 4 publications

References 29 publications

Extending the Framework for Developing Intelligent Virtual Environments (FIVE) with Artifacts for Modeling Internet of Things Devices and a New Decentralized Federated Learning Based on Consensus for Dynamic Networks

Extending the Framework for Developing Intelligent Virtual Environments (FIVE) with Artifacts for Modeling Internet of Things Devices and a New Decentralized Federated Learning Based on Consensus for Dynamic Networks

Enabling Extremely Energy-Efficient End-to-End Secure Communications for Smart Metering Internet of Things Applications Using Static Context Header Compression

Modern Science Education in China

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