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Multi-Radio Perspectives for Massive MTC Localization: Energy Consumption and Utility

Research output: Chapter in Book/Report/Conference proceedingConference paper

Konstantin Mikhaylov, Mikko Valkama, Maria A. Lema, Sergey Andreev, Rohit Gupta, Olga Galinina, Giuseppe Destino, Toktam Mahmoodi, Mischa Dohler, Yevgeni Koucheryavy

Original languageEnglish
Title of host publication11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2019
PublisherIEEE Computer Society
Volume2019-October
ISBN (Electronic)9781728157634
DOIs
Publication statusPublished - 1 Oct 2019
Event11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2019 - Dublin, Ireland
Duration: 28 Oct 201930 Oct 2019

Conference

Conference11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2019
CountryIreland
CityDublin
Period28/10/201930/10/2019

King's Authors

Abstract

The value of the location data for the Internet of Things (IoT) devices is undisputed, and today's radio technologies provide various means to obtain these data. In this paper, we shed light on the utility of the four illustrative radio-based localization techniques, including satellite navigation and the use of BLE, LoRaWAN, and Cat-NB1 communication technologies. First, we instrument a prototype device comprising all these solutions, thus confirming the feasibility of multi-radio-enabled IoT devices supporting localization. Then, we employ this prototype to empirically assess the energy utility of different localization approaches. Our results demonstrate that in terms of energy consumption, the difference between these techniques approaches five orders of magnitude. By conducting a follow-up survey of the relevant research papers, we assess other important performance metrics, such as the operating environment and the required infrastructure, as well as their effect on the localization accuracy. By combining these results, we show that multi-radio-enabled localization solutions are more flexible than those based on a single localization solution and provide space for further optimizations, especially with regards to energy consumption. Development of such devices is an crucial step toward enabling 'anytime, anywhere' localization for IoT devices.

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