A Qualitative Comparison Model for Application Layer IoT Protocols

Kakakhel, Syed Rameez Ullah; Westerlund, Tomi; Daneshtalab, Masoud; Zou, Zhuo; Plosila, Juha; Tenhunen, Hannu

doi:10.1109/fmec.2019.8795324

Cited by 7 publications

(5 citation statements)

References 7 publications

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“…The authors of [4] compared IoT communication protocols focusing on the main characteristics and behavior of different energy efficiency indicators, security, data transfer rate, and others. This research is aimed at the development of guidelines for the developers selecting the optimal protocol [5][6][7][8][9]. At present, the research on communication protocols used between embedded IoT systems and the cloud is also conducted [10].…”

Section: Related Literaturementioning

confidence: 99%

Automation of the Protocol Selection Process for IoT Systems

Kozel¹,

Ivanchuk²,

Drozdova³

et al. 2022

IJC

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The Internet of Things is designed to eliminate or minimize human participation in functioning intelligent devices connected to a network for improving human living conditions and their comfort in different spheres. The rapid expansion of the Internet of Things leads to a steady increase in the number of signaling protocols and data structure protocols being developed and used in the IoT, and thus, it complicates their selection when designing the IoT system. In addition, when designing a wireless IoT network, the problem of selecting an energy-efficient protocol arises, as the constant exchange of data depletes the power supply that IoT devices are equipped with. Thus, human intervention for regular battery maintenance is required. A set of rules and criteria for the selection of optimal combination of protocols when designing the IoT system is proposed. The assessment of distributed protocols according to selected criteria based on the Boolean functions has been conducted. The developed program that enables choosing the optimal combination of protocols has been presented. Automation of the protocol selection process at the initial stage will make it possible to reduce the time for designing the IoT system.

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Section: Related Literaturementioning

confidence: 99%

Automation of the Protocol Selection Process for IoT Systems

Kozel¹,

Ivanchuk²,

Drozdova³

et al. 2022

IJC

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“…Below is a brief of the classification model presented in [18]. There are five main categories in this section, namely, Communication Attributes, Security Attributes, Connection Attributes, Operational Attributes and Message and Payload support.…”

Section: Iot Protocols and Smart Grid Attributesmentioning

confidence: 99%

“…All of these have sub-categories that further expand on the main characteristics. We provide a brief description of these attributes here, for deeper explanation we refer authors to [18].…”

Section: Iot Protocols and Smart Grid Attributesmentioning

confidence: 99%

IoT Protocol Selection for Smart Grid Applications: Merging Qualitative and Quantitative Metrics

Ullah

Kakakhel

Westerlund

et al. 2020

2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO)

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The concept of Internet of Things (IoT) implies that objects are connected to share information with each other and/or with a platform based on standardized communication protocols such as MQTT and HTTP. Recently, their performance has received much attention due to more widespread utilization. But, the vital aspect of the adoption of these IoT protocols is not just performance per se but also their feature set. However, comparative analysis that takes into account both the features and performance aspects are rarely presented. This paper investigates a combination of a qualitative comparison model (based on communication, operational and security attributes) with quantitative metrics in terms of CPU/memory utilization and time consumption. Quantitative metrics are collected for two of the four IoT protocols. Our analysis shows that there is no onesize-fits-all solution in terms of application layer IoT protocols. Additionally we emphasize that, on a higher level, both qualitative and quantitative measures are necessary for IoT stakeholders to consider before selecting the most appropriate protocol for the specific application to be deployed. We illustrate the results using a smart grid example simulating a collection of 1000 smart meters connected to the grid.

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“…It extends the Cloud Computing paradigm to the network edge, creating a wider range of applications and services [66]. The main benefits of Fog Computing are low latency, efficiency, throughput, and reliability of data delivery in a heterogeneous ecosystem [42,49]. However, the variety of device heterogeneity and dynamic negotiations, highly variable and unpredictable of the fog network contributes to decreasing data transfers due to the properties of the communication protocols used.…”

Section: Introductionmentioning

confidence: 99%

“…QoS for IoT Components for IoT[64] Rameez et al[42] define 19 attributes in 5 categories (Communication Attributes, Security Attributes, Connection Attributes, Operational Attributes, and Message and Payload support) essential categories specific to MQTT, HTTP, CoAP and XMPP protocols, for IoT for IoT stakeholders, presented in Table…”

mentioning

confidence: 99%

MiddleFog: A Middleware for Protocol Interoperability in Heterogeneous IoT Environments

Santos,

Geyer,

Anjos

et al. 2024

Preprint

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A Qualitative Comparison Model for Application Layer IoT Protocols

Cited by 7 publications

References 7 publications

Automation of the Protocol Selection Process for IoT Systems

Automation of the Protocol Selection Process for IoT Systems

IoT Protocol Selection for Smart Grid Applications: Merging Qualitative and Quantitative Metrics

MiddleFog: A Middleware for Protocol Interoperability in Heterogeneous IoT Environments

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