Technology Selection For IoT-Based Smart Transportation Systems
Résumé
In this paper, we consider the selection of the appropriate technology in 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. We investigate four LPWAN technologies and we 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.