Technology Selection for IoT-Based Smart Transportation Systems
In this paper, the authors consider the selection of the appropriate technology in Internet of Things (IoT) environments. Specific IoT-based applications, including innovative tracking solutions in automotive or transportation systems, require the mobility of the IoT device under different IoT technologies. Selecting the best technology for connectivity based on several criteria is essential in this context. The authors investigate four LPWAN technologies and they study two well-known multi-attribute decision-making algorithms, TOPSIS and SAW, to select the appropriate IoT technology based on criteria such as bit rate, coverage, power consumption, etc. These two algorithms were implemented to select the best technology depending on the requirements of the application. The obtained results showed that the TOPSIS method gives better results than SAW in the selection and the sorting of the technologies. However, the running time of SAW is smaller.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9789811537493
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Supplemental Notes:
- © Springer Nature Singapore Pte Ltd. 2020.
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Corporate Authors:
Springer Singapore
152 Beach Road
Singapore, 189721 -
Authors:
- Ayoub, Wael
- Samhat, Abed Ellatif
- Mroue, Mohamad
- Joumaa, Hussein
- Nouvel, Fabienne
- Prévotet, Jean-Christophe
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Conference:
- Third International Workshop on Vehicular Ad-hoc Networks for Smart Cities (IWVCS 2019)
- Location: Paris , France
- Date: 2019-11-13 to 2019-11-13
- Publication Date: 2020-4
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 19-29
- Monograph Title: Vehicular Ad-hoc Networks for Smart Cities: Third International Workshop, 2019
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Serial:
- Advances in Intelligent Systems and Computing
- Volume: 1144
- Publisher: Springer International Publishing
- ISSN: 2194-5357
- Serial URL: http://link.springer.com/bookseries/11156
Subject/Index Terms
- TRT Terms: Algorithms; Decision making; Internet of things; Technology assessment
- Subject Areas: Data and Information Technology; Planning and Forecasting; Transportation (General);
Filing Info
- Accession Number: 01882653
- Record Type: Publication
- ISBN: 9789811537493
- Files: TRIS
- Created Date: May 23 2023 9:27AM