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The Journal of Supercomputing

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04-08-2022

Enabling efficient and reliable IoT deployment in 5G and LTE cellular areas for optimized service provisioning

Author: Mina Malekzadeh

Published in: The Journal of Supercomputing | Issue 2/2023

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Abstract

Reliable and efficient delivery of diverse services with different requirements is among the main challenges of IoT systems. The challenges become particularly significant for IoT deployment in larger areas and high-performance services. The low-rate wireless personal area networks, as standard IoT systems, are well suited for a wide range of multi-purpose IoT services. However, their coverage distance and data rate constraints can limit the given IoT applications and restrict the creation of new ones. Accordingly, this work proposes a model that aims to correlate and expand the standard IoT systems from personal to wide areas, thus improving performance in terms of providing fast data processing and distant connectivity for IoT data access. The model develops two IoT systems for these purposes. The first system, 5GIoT, is based on 5G cellular, while the second, LTEIoT, is based on 4G long-term evolution (LTE). The precise assessment requires a reference system, for which the model further includes a standard IoT system. The model is implemented and results are obtained to determine the performance of the systems for diverse IoT use cases. The level of improvement provided by the 5GIoT and LTEIoT systems is determined by comparing them to each other as well as to the standard IoT system to evaluate their advantages and limitations in the IoT domain. The results show the relatively close performance of 5GIoT and LTEIoT systems while they both outperform the standard IoT by offering higher speed and distance coverage.

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Title: Enabling efficient and reliable IoT deployment in 5G and LTE cellular areas for optimized service provisioning
Author: Mina Malekzadeh
Publication date: 04-08-2022
Publisher: Springer US
Published in: The Journal of Supercomputing / Issue 2/2023
Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-022-04722-x

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