Analysis of the Impact of Interaction Patterns and IoT Protocols on Energy Consumption of IoT Consumer Applications

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Nowadays, it is estimated that half the connected devices are related to the Internet of Things (IoT). The IoT paradigm contributes to the increase of the Information Technology energy demand. The energy demand is due on one side to the huge number of IoT devices, and on the other side to the plethora of IoT end user applications consuming data produced by those devices. However, taking into account energy consumption in the development of such applications, consuming data produced by IoT devices is still challenging. There is a lack of knowledge on what are the best practises to develop green IoT applications. The work presented in this paper aims to raise the awareness of application designers concerning the impact of the choice of IoT protocols and interaction patterns on the energy consumption of the applications. For this purpose, we have experimentally analysed the energy consumption of HTTP and MQTT, which are two of the most popular, mature and stable protocols for IoT consumer applications. For the HTTP protocol, we have studied both the publish-subscribe and the request-reply interaction patterns. For MQTT, we have studied the publish-subscribe interaction pattern with the three available Quality of Services. We also examine the impact of message payload on energy consumption. The results show that the publish/subscribe interaction pattern has lower energy consumption (around 92% less) than the synchronous interaction pattern and HTTP consumes 20% more energy than the MQTT protocol for the publish/subscribe interaction pattern. Finally, we show that the payload has a low impact on energy consumption, having a 9% overhead on payloads ranging from 24 to 3120 bytes.

Original languageEnglish
Title of host publicationDistributed Applications and Interoperable Systems - 22nd IFIP WG 6.1 International Conference, DAIS 2022, Held as Part of the 17th International Federated Conference on Distributed Computing Techniques, DisCoTec 2022, Proceedings
EditorsDavid Eyers, Spyros Voulgaris
PublisherSpringer Science and Business Media Deutschland GmbH
Pages131-147
Number of pages17
ISBN (Print)9783031160912
DOIs
Publication statusPublished - 1 Jan 2022
Event22nd IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems, DAIS 2022 Held as part of the 17th International Federated Conference on Distributed Computing Techniques, DisCoTec 2022 - Lucca, Italy
Duration: 13 Jun 202217 Jun 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13272 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems, DAIS 2022 Held as part of the 17th International Federated Conference on Distributed Computing Techniques, DisCoTec 2022
Country/TerritoryItaly
CityLucca
Period13/06/2217/06/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Energy Consumption
  • Green IT
  • Interaction patterns
  • Internet of Things applications
  • IoT Platforms
  • IoT protocols
  • Middleware

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