# A Comprehensive Survey on Real-Time Applications of WSN
## 3 Applications of WSN
### WSN and VANET
Their proposed model is able to generate and analyze traffic condition reports, including the current time and location of the traffic with the help of image processing techniques. This approach exhibited around 85% accuracy in maintaining the authenticity of the data, 84.093m/s for the implementation time, and a 0.011% increase in computation overhead applying for the confidentiality scheme. WSN and Automated Vehicles  
Automatic vehicles possess the attribute of safety critical management functions such as directing, regulating, or the usage of a brake. The aforesaid attributes will work whenever a manual driver input is unavailable. Automatic vehicles could be \"autonomous\" (i.e., solely based on vehicle sensors) or could use a communications system to connect with the vehicle technology. This communication \begin{table}
\begin{tabular}{c c c c} \hline \hline
**References** & **Application** & **Sensors** & **City Deployed in** \\ \hline \multirow{2}{*}{[PERSON] et al. (2015) [75]} & Accident Management & Mechanical sensors, & \\  & System (AMS) & Biometric Sensors & Coimbatore, India \\ \hline \multirow{2}{*}{[PERSON] et al. (2017) [76]} & Secure Traffic Monitoring & GPS, Virtual Piconet ID & \multirow{2}{*}{Cairo, Egypt} \\  & System (STMS) & & (VPID) \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Examples of prototyped applications for VANET.AMS: Accident Management System; STMS: Secure Traffic Monitoring System; VPID: Virtual Piconet ID. Figure 8: Vehicular Ad Hoc Network (VANET) Smart Vehicle. On-board unit (OBU). will work wirelessly with the ground level lane during the movement of the vehicle. The automatic vehicles utilize multiple techniques to comprehend their ambiance such as a microwave radar, optical device light, GPS, odometer, and PC version. The advanced mechanism interprets the sensory information to recognize the appropriate course-plotting ways, in addition to hindrances and important accumulations. Furthermore, the autonomous car possesses a mechanical system which is capable of investigating the sensory information and is able to discriminate the other vehicle/car which is moving in the same lane with the same destination path specified. Additionally, the input parameter such as connectivity plays a vital role and it is recognized as an advantage [77]. In order to prevent the traffic accidents, automatic vehicles could a good choice. The automatic vehicle showed some promising merits such as a reduction in fuel consumption, help with parking in busy parking areas, a reduction in the crime rate of the city, as well as being able to cater for youth, senior, or elderly persons and physically challenged persons. For commercialization and awareness among society regarding the automatic vehicle, business tycoons should take the initiative and be facilitated for their business models. Table 11, represent the examples of prototyped applications for automated vehicles. [PERSON] et al., 2014 investigated the smart navigating system. Due to rapid industrialization and urban development, the number of vehicles has been increased in a very rapid manner. To avoid congestion in the streets and roads, the parking problem, which is increasing in everyday life, needs to be addressed. To resolve this issue, the authors implemented real-time sensors in the smart cities to eradicate the problems for better daily life. The authors have developed a model which is coined as Angle of Arrival (AoA), which depicts and measures the vehicle position on the map. Additionally, the authors have simulated the result and the obtained data gave a significant outcome, enhancing the positioning of the vehicle. [PERSON] et al., 2016 investigated the application of real time sensors with the help of IoT and sensor networks. They applied these approaches to road safety, avoiding traffic regulation violation.