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Towards Real-time Smart Road Construction: Efficient Process Management through the Implementation of Internet of Things

Published: 20 December 2017 Publication History

Abstract

The introduction of the internet had a significant impact on people's lives. The next generation internet, also called the Internet of Things (IoT), takes automation to a whole new level. Currently, IoT is still in its infancy. Still, IoT architectures are being implemented for specific applications and/or use-cases. However, as the number of applications and IoT frameworks increases, so does the number of interfaces, protocols and standards. As a result, interoperability between different platforms has become significantly more complex. In road construction and logistical processes, analysis of collected data and real-time communication between the various actors (e.g. paver, contractor, transporter) allows them to operate their machines more effectively, which significantly improves road quality. However, the significant differences in communication protocols and data storage prevent a straightforward interconnection and interoperability between the various applications involved. This paper introduces a middleware that allows on-demand communication, authentication and information exchange in such heterogeneous environments. We demonstrate and validate this middleware with a use-case and field test in road construction in the context of the RoadIT Technology Transformation (TETRA) project.

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Cited By

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  • (2022)Systematic Review of Authentication and Authorization Advancements for the Internet of ThingsSensors10.3390/s2204136122:4(1361)Online publication date: 10-Feb-2022
  • (2022)Big Data in Construction: Current Applications and Future OpportunitiesBig Data and Cognitive Computing10.3390/bdcc60100186:1(18)Online publication date: 6-Feb-2022
  • (2022)Ways to improve quality control devices when compacting asphalt concrete pavementsPROCEEDINGS OF THE 10TH WORKSHOP ON METALLIZATION AND INTERCONNECTION FOR CRYSTALLINE SILICON SOLAR CELLS10.1063/5.0129898(060007)Online publication date: 2022
  • Show More Cited By

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    Published In

    cover image ACM Other conferences
    BDIOT '17: Proceedings of the International Conference on Big Data and Internet of Thing
    December 2017
    251 pages
    ISBN:9781450354301
    DOI:10.1145/3175684
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 20 December 2017

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    Author Tags

    1. Constrained Application Protocol (CoAP)
    2. Extensible Messaging Presence Protocol (XMPP)
    3. Internet of Things (IoT)
    4. MQ Telemetry Transport (MQTT)
    5. Reference Architecture (RA)
    6. Representational State Transfer (REST)
    7. Technology Transformation (TETRA)

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    BDIOT2017

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    Overall Acceptance Rate 75 of 136 submissions, 55%

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    Cited By

    View all
    • (2022)Systematic Review of Authentication and Authorization Advancements for the Internet of ThingsSensors10.3390/s2204136122:4(1361)Online publication date: 10-Feb-2022
    • (2022)Big Data in Construction: Current Applications and Future OpportunitiesBig Data and Cognitive Computing10.3390/bdcc60100186:1(18)Online publication date: 6-Feb-2022
    • (2022)Ways to improve quality control devices when compacting asphalt concrete pavementsPROCEEDINGS OF THE 10TH WORKSHOP ON METALLIZATION AND INTERCONNECTION FOR CRYSTALLINE SILICON SOLAR CELLS10.1063/5.0129898(060007)Online publication date: 2022
    • (2022)ARaaS: Context-Aware Optimal Charging Distribution Using Deep Reinforcement LearningiCity. Transformative Research for the Livable, Intelligent, and Sustainable City10.1007/978-3-030-92096-8_12(199-209)Online publication date: 17-Oct-2022
    • (2020)Context-Aware Optimal Charging Distribution using Deep Reinforcement LearningProceedings of the 2020 4th International Conference on Big Data and Internet of Things10.1145/3421537.3421547(64-68)Online publication date: 22-Aug-2020
    • (2020)Process and Data Modeling for System Integration – towards Smart Concrete Pavement Construction2020 IEEE/SICE International Symposium on System Integration (SII)10.1109/SII46433.2020.9026278(1248-1253)Online publication date: Jan-2020
    • (2019)Performance Evaluation of MQTT Brokers in the Internet of Things for Smart Cities2019 4th International Conference on Smart and Sustainable Technologies (SpliTech)10.23919/SpliTech.2019.8783166(1-6)Online publication date: Jun-2019
    • (2018)IT in Road ConstructionProceedings of the 2018 2nd International Conference on Big Data and Internet of Things10.1145/3289430.3289434(143-147)Online publication date: 24-Oct-2018
    • (2018)A particle Swarm Optimization-based Heuristic for Optimal Cost Estimation in Internet of Things EnvironmentProceedings of the 2018 2nd International Conference on Big Data and Internet of Things10.1145/3289430.3289433(136-142)Online publication date: 24-Oct-2018

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