SELECTION OF PROTOCOLS FOR DATA TRANSMISSION FROM INTERNET OF THINGS DEVICES TO CLOUD PROVIDERS

Author:

Shykhmat A., ,Veres V.

Abstract

The Internet of Things (IoT) enables the creation of networks between devices, people, applications, and the Internet, creating new ecosystems with higher productivity, better energy efficiency, and higher profitability. Nodes in these networks must have the ability to communicate and exchange data, which requires the use of data transfer protocols. However, choosing the right protocol for a specific use case is not always straightforward. This paper provides an overview of two existing data transfer protocols, MQTT and HTTP, compares the amount of tariffed traffic generated by each protocol, and evaluates the efficiency of protocol costs. The research showed that in comparison to AWS IoT Core, GCP IoT Core is more expensive for all evaluated scenarios and is not recommended for use. For scenarios with frequent data transfer, the best solution is to use the MQTT bridge provided by AWS IoT Core. If the number of connected devices exceeds 10 million with a high frequency of data transmission every 1 minute, it is advisable to consider using a standalone MQTT broker or another TCP-based protocol such as CoAP. In the case of less frequent data transmission (every 10 minutes or less), an HTTP bridge may be a solution for up to 100 million devices. As a result of the research, a decision tree was created to select the best protocol for specific use cases. Keywords - IoT, data transfer protocols, HTTP, MQTT, AWS, GCP, IoT Core

Publisher

Lviv Polytechnic National University

Reference27 articles.

1. 1. P. Pierleoni, R. Concetti, A. Belli and L. Palma, "Amazon, Google and Microsoft Solutions for IoT:

2. Architectures and a Performance Comparison," in IEEE Access, vol. 8, pp. 5455-5470, 2020, doi:

3. 10.1109/ACCESS.2019.2961511.

4. 2. B. Wukkadada, K. Wankhede, R. Nambiar and A. Nair, "Comparison with HTTP and MQTT In Internet of

5. Things (IoT)," 2018 International Conference on Inventive Research in Computing Applications (ICIRCA),

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3