Scalability Analysis of Data Transfer in Massive Internet of Things Applications

Olli Mammela; Pekka Karhula; Jukka Makela

doi:10.1109/ISCC47284.2019.8969722

Scalability Analysis of Data Transfer in Massive Internet of Things Applications

Olli Mammela, Pekka Karhula, Jukka Makela

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

2 Citations (Scopus)

Abstract

This work analyzes the data transfer of massive Internet of Things (IoT) applications through network simulations. We focus on an environment, in which a massive number of IoT devices are sending data to a server located in the cloud. In the future, there will be an enormous number of IoT devices that generate an extensive amount of data to the mobile network. It has been estimated that approximately 28 billion connected IoT devices will exist by 2021. The number of IoT devices and the amount of data sent by the devices requires careful planning of the network infrastructure. This is why scalability analysis of the data transfer is very important. IoT devices are conventionally connected to the Internet via information brokers or gateway nodes. However, a single information broker may not be able to support the data transfer of a massive IoT node population. Our results show that once the sensor node population reaches to a massive level, more information brokers or gateway nodes are needed in the network. The results of this work can be very useful when designing the network infrastructure in massive IoT scenarios.

Original language	English
Title of host publication	Proceedings - IEEE Symposium on Computers and Communications
Publisher	IEEE Institute of Electrical and Electronic Engineers
ISBN (Electronic)	978-1-72812-999-0
DOIs	https://doi.org/10.1109/ISCC47284.2019.8969722
Publication status	Published - Jun 2019
MoE publication type	A4 Article in a conference publication
Event	2019 IEEE Symposium on Computers and Communications, ISCC 2019 - Barcelona, Spain Duration: 29 Jun 2019 → 3 Jul 2019

Conference

Conference	2019 IEEE Symposium on Computers and Communications, ISCC 2019
Country/Territory	Spain
City	Barcelona
Period	29/06/19 → 3/07/19

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10.1109/ISCC47284.2019.8969722

Cite this

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title = "Scalability Analysis of Data Transfer in Massive Internet of Things Applications",

abstract = "This work analyzes the data transfer of massive Internet of Things (IoT) applications through network simulations. We focus on an environment, in which a massive number of IoT devices are sending data to a server located in the cloud. In the future, there will be an enormous number of IoT devices that generate an extensive amount of data to the mobile network. It has been estimated that approximately 28 billion connected IoT devices will exist by 2021. The number of IoT devices and the amount of data sent by the devices requires careful planning of the network infrastructure. This is why scalability analysis of the data transfer is very important. IoT devices are conventionally connected to the Internet via information brokers or gateway nodes. However, a single information broker may not be able to support the data transfer of a massive IoT node population. Our results show that once the sensor node population reaches to a massive level, more information brokers or gateway nodes are needed in the network. The results of this work can be very useful when designing the network infrastructure in massive IoT scenarios.",

author = "Olli Mammela and Pekka Karhula and Jukka Makela",

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year = "2019",

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doi = "10.1109/ISCC47284.2019.8969722",

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Mammela, O, Karhula, P & Makela, J 2019, Scalability Analysis of Data Transfer in Massive Internet of Things Applications. in Proceedings - IEEE Symposium on Computers and Communications., 8969722, IEEE Institute of Electrical and Electronic Engineers, 2019 IEEE Symposium on Computers and Communications, ISCC 2019, Barcelona, Spain, 29/06/19. https://doi.org/10.1109/ISCC47284.2019.8969722

Scalability Analysis of Data Transfer in Massive Internet of Things Applications. / Mammela, Olli; Karhula, Pekka; Makela, Jukka.
Proceedings - IEEE Symposium on Computers and Communications. IEEE Institute of Electrical and Electronic Engineers, 2019. 8969722.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Karhula, Pekka

AU - Makela, Jukka

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AB - This work analyzes the data transfer of massive Internet of Things (IoT) applications through network simulations. We focus on an environment, in which a massive number of IoT devices are sending data to a server located in the cloud. In the future, there will be an enormous number of IoT devices that generate an extensive amount of data to the mobile network. It has been estimated that approximately 28 billion connected IoT devices will exist by 2021. The number of IoT devices and the amount of data sent by the devices requires careful planning of the network infrastructure. This is why scalability analysis of the data transfer is very important. IoT devices are conventionally connected to the Internet via information brokers or gateway nodes. However, a single information broker may not be able to support the data transfer of a massive IoT node population. Our results show that once the sensor node population reaches to a massive level, more information brokers or gateway nodes are needed in the network. The results of this work can be very useful when designing the network infrastructure in massive IoT scenarios.

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Scalability Analysis of Data Transfer in Massive Internet of Things Applications

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