A Novel Hybrid Optimization Model for Task Scheduling in Cloud Environment

Abstract

Recently, smart vehicle systems adopting wireless sensors have received huge attention, and are also considered a promising area. Generally, the wireless sensors utilized in this system are small, low-cost devices that can be easily installed in diverse parts of the vehicle. This research aims to design and develop a smart vehicle system using wireless sensors. The system will alert the driver if necessary. With the increasing use of sensors in daily life, people are looking for similar intelligence in their vehicles. This research is divided into three categories: air pollution detection, auto-driving, and accident detection. The system installed in the vehicle will detect air pollution levels, send the location in case of an accident, and automatically detect lanes and obstacles. Although there have been many studies on this topic, most have not been practically implemented or combined. This research provides a more reliable solution, with the possibility of future improvements.