Fog Computing Approach for Shared Mobility in Smart Cities

Raafat Aburukba, A. R. Al-Ali, Ahmed H. Riaz, Ahmad Al Nabulsi, Danayal Khan, Shavaiz Khan and Moustafa Amer
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Raafat Aburukba: Department of Computer Science and Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates
A. R. Al-Ali: Department of Computer Science and Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates
Ahmed H. Riaz: Department of Computer Science and Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates
Ahmad Al Nabulsi: Department of Computer Science and Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates
Danayal Khan: Department of Computer Science and Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates
Shavaiz Khan: Department of Computer Science and Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates
Moustafa Amer: Department of Computer Science and Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates

Energies, 2021, vol. 14, issue 23, 1-19

Abstract: Smart transportation a smart city application where traditional individual models are transforming to shared and distributed ownership. These models are used to serve commuters for inter- and intra-city travel. However, short-range urban transportation services within campuses, residential compounds, and public parks are not explored to their full capacity compared to the distributed vehicle model. This paper aims to explore and design an adequate framework for battery-operated shared mobility within a large community for short-range travel. This work identifies the characteristics of the shared mobility for battery-operated vehicles and accordingly proposes an adequate solution that deals with real-time data collection, tracking, and automated decisions. Furthermore, given the requirement for real-time decisions with low latency for critical requests, the paper deploys the proposed framework within the 3-tier computing model, namely edge, fog, and cloud tiers. The solution design considers the power consumption requirement at the edge by offloading the computational requests to the fog tier and utilizing the LoRaWAN communication technology. A prototype implementation is presented to validate the proposed framework for a university campus using e-bikes. The results show the scalability of the proposed design and the achievement of low latency for requests that require real-time decisions.

Keywords: smart mobility; smart transportation; smart cities; e-Bike; IoT (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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