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DBLP
Conference object . 2023
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On Modelling and Validation of the MQTT IoT Protocol for M2M Communication.

Authors: Alejandro Rodríguez 0006; Lars Michael Kristensen; Adrian Rutle;

On Modelling and Validation of the MQTT IoT Protocol for M2M Communication.

Abstract

Machine to Machine (M2M) communication and Internet of Things (IoT) are becoming still more pervasive with the increase of communicating devices used in cyber-physical environments. A prominent approach to communication between distributed devices in highly dynamic IoT environments is the use of publish-subscribe protocols such as the Message Queuing Telemetry Transport (MQTT) protocol. MQTT is designed to be light-weight while still being resilient to connectivity loss, component failures, and loss of packets. We have developed a formal model of the MQTT protocol logic covering all three quality of service levels provided by MQTT (at most once, at least once, and exactly once). For the initial verification of the protocol model, we show how an incremental model checking approach can be used to reduce the effect of the state explosion problem. This is done by exploiting that the MQTT protocol operates in phases comprised of connect, subscribe, publish, unsubscribe, and disconnect.

Country
Norway
Keywords

modelling, coloured petri nets, communication protocols, VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Kommunikasjon og distribuerte systemer: 423, verification, internet of things

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green