Fault Detection Based on Dead Reckoning in VANETs

Abstract

Fault detection is one of the basic components of fault-tolerant system,which can ensure the safe and reliable implementation of applications on vehicular ad hoc networks.However,vehicular ad hoc networks are different from traditional mobile ad hoc networks.On the one hand,vehicles have high-speed mobility and may join or leave the system at any time,which is likely to make the network environment to be changeable.On the other hand,the links between vehicles are often interrupted due to environmental and equipment factors,which is likely to cause message loss.In order to solve the above problems,a hierarchical fault detection method based on dead reckoning is proposed.In this fault detection method,the dead reckoning model is used to predict the transmission time of heartbeat messages,and the roadside unit is considered as a static node to build a hierarchical detection architecture,so as to improve the performance of fault detection in the vehicular ad hoc networks.Using the NS2 to build the si-mulation experimental platform for performance verification,experimental results show that the proposed fault detection method is better than the comparative fault detection method in terms of detection speed,detection accuracy and detection overhead.

Keywords

• vehicular ad hoc networks|fault detection|dead reckoning|high mobility|fault tolerance