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Due to the rapid increase of demand in vehicular ad-hoc networks (VANET) technologies from both the scientific and industry worlds, connected vehicles have exploded in popularity in recent years. VANET entails the transmission of data from on-board sensors to other cars via vehicle-to-everything (V2X) communication, leading in a variety of applications such as steep-curve alerts. However, in order to broaden the area of applications, VANET must incorporate a variety of technologies, including sensor networks, resulting in a new framework termed as the vehicular sensor network.
An increase in the number of means of transportation leads to the raise in number of road accidents. However, we cannot regulate the growing number of means of transport, but we can certainly control the number of fatal crash deaths by reporting collisions to concerned health facilities and the cops in an efficient and accurate manner. Technology has evolved into our modern world. As a result, we built a smart road accident detecting and reporting system employing microcontroller technology.
Figure 1. IoT-enabled communication-based devices
Figure 1 shows the IoT enabled communication devices which can be integrated for various applications in vehicular communication, health care industry and service sector. The individual and the combination of specified devices can be integrated into a single platform to address various commercial communication applications with IoT support for remote access.
Balfaqih et al. (2021) proposed an IoT based structure for collision identification and its categorization. This proposed technology identifies and classifies car accidents depending upon the degree of severity, and then sends the necessary information to the concerned health care responders. An Effective crash collision detection and categorization system: The proposed framework automatically reports incidents with key information utilizing an effective IoT Platform.
A comprehensive literature survey discloses that M/C Learning and Edge Computing features of IoT-based smart healthcare (HIoT) (Ashfaq et al., 2022). Due to various advancements in HIoT (Health Care IoT) both patients and physicians may now be able to access real-time data. By sensors and wireless communication technologies, this advancement has slashed the cost energy utilisation of digitized healthcare services. An examination of various wearable and non-wearable sensors, especially those used to record the patient's medical history like blood pressure and oxygen levels in plasma has also been presented.
Figure 2.
IoT-based smart healthcare (HIoT) model
Sinthia et al. (2020) proposed an IoT ecosystem for preventing car accidents The research findings suggest an accident tracking system that forecasts risks caused due to driver's ignorance. By using several sensors, the proposed methodology implements an accident warning system. When the sensors detect an unusual action, the engine gets instantaneously slowed and also the doors of the vehicle are immediately released with acoustic warnings. In this section, the authors proposed an IoT ecosystem for preventing car accidents. The proposed framework was developed using a microcontroller (PIC16F887). We can monitor the accident scenario and the driver's health status from the server using this proposed technology.