Energy-Saving Solutions for Cellular Internet of Things–A Survey

Abbas, Muhammad Tahir; Grinnemo, Karl-Johan; Eklund, Johan; Alfredsson, Stefan; Rajiullah, Mohammad; Brunström, Anna; Caso, Giuseppe; Kousias, Konstantinos; Alay, Özgü

doi:10.1109/access.2022.3182400

Cited by 7 publications

(2 citation statements)

References 62 publications

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“…In addition to the internal RF receiver for passive data acquisition, the TSMA6 can be connected to external devices to collect active data for one or more 3GPP technologies, which are also controlled by the ROMES software. In the Oslo campaign the setup included an Exelonix NB-IoT USB device for the collection of power consumption and active data for NB-IoT [32], while in the Rome campaign, this device was replaced with a Samsung S20 5G mobile phone, which was used to collect 5G active data. The setup used in the Rome campaign is presented in Figure 1 and is drawn from [33].…”

Section: Measurement Setupmentioning

confidence: 99%

Positioning by Multicell Fingerprinting in Urban NB-IoT Networks

Nardis

Caso

Alay

et al. 2023

Sensors

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Narrowband Internet of Things (NB-IoT) has quickly become a leading technology in the deployment of IoT systems and services, owing to its appealing features in terms of coverage and energy efficiency, as well as compatibility with existing mobile networks. Increasingly, IoT services and applications require location information to be paired with data collected by devices; NB-IoT still lacks, however, reliable positioning methods. Time-based techniques inherited from long-term evolution (LTE) are not yet widely available in existing networks and are expected to perform poorly on NB-IoT signals due to their narrow bandwidth. This investigation proposes a set of strategies for NB-IoT positioning based on fingerprinting that use coverage and radio information from multiple cells. The proposed strategies were evaluated on two large-scale datasets made available under an open-source license that include experimental data from multiple NB-IoT operators in two large cities: Oslo, Norway, and Rome, Italy. Results showed that the proposed strategies, using a combination of coverage and radio information from multiple cells, outperform current state-of-the-art approaches based on single cell fingerprinting, with a minimum average positioning error of about 20 m when using data for a single operator that was consistent across the two datasets vs. about 70 m for the current state-of-the-art approaches. The combination of data from multiple operators and data smoothing further improved positioning accuracy, leading to a minimum average positioning error below 15 m in both urban environments.

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Section: Measurement Setupmentioning

confidence: 99%

Positioning by Multicell Fingerprinting in Urban NB-IoT Networks

Nardis

Caso

Alay

et al. 2023

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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