Hard and Soft Fault Detection Using Cloud Based VANET

Abstract

Vehicular Ad hoc NETwork (VANET), popularly called the network on wheels, is used successfully for various applications. The successful implementation of the application of VANET depends on the quick and correct message dissemination between the source and destination. If the sensor unit of the vehicle is faulty, then the use of VANET for any applications is not going to be successful. Looking at the faster-growing interest of researchers in academics and industry, successful implementation of VANET for numerous applications, this paper proposed the hard and soft fault detection of the sensor unit of the vehicle using the vehicular cloud. Hard fault detection is carried out at the static node of the VANET. In the hard fault detection phase, the permanent hard fault is identified using a time-out mechanism. The soft fault detection is accomplished by the observation center, where the status of vehicular sensor information is transmitted using a vehicular cloud. In the soft fault diagnosis, the permanent soft fault is detected using a comparative-based approach. The validation of the proposed approach is carried out by two performance metrics.