| Title |
A Real-time e-Health Data Collection System from On-board Vehicle Drivers in Smart City |
| ID_Doc |
42142 |
| Authors |
Hassan, MM; Alamri, A; Alhussein, M; Gumaei, A; Al-Rakhami, M; Fortino, G; Razzaque, MA |
| Title |
A Real-time e-Health Data Collection System from On-board Vehicle Drivers in Smart City |
| Year |
2020 |
| Published |
|
| DOI |
10.1109/STI50764.2020.9350435 |
| Abstract |
Most of the works in the literature related to driver distraction monitoring system focused on the design and development of sensor devices and their calibration. However, the problem of collecting data related to urgent or critical events in a prioritized manner has got a little attention for this specialized application. In this paper, assuming the availability of an Intra-vehicular Sensor Network (IVSN) consisting of heterogeneous sensor devices for monitoring an on-board driver, we have developed a medium access control protocol, namely V-MAC, that enables faster delivery of high priority events related to driver distraction. Our traffic classification algorithm and CSMA/CA driven prioritized data transmission scheduling using different superframes helps it to achieve higher data delivery performance, as depicted through evaluations carried out in MATLAB. |
| Author Keywords |
Intra-vehicular Sensor Network (IVSN); Traffic Classification; Multilevel Priority MAC; Data Delivery Latency; Driver Distraction |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000680421300029 |
| WoS Category |
Green & Sustainable Science & Technology; Engineering, Industrial |
| Research Area |
Science & Technology - Other Topics; Engineering |
| PDF |
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