Performance Evaluation of Vehicular Ad Hoc Network Using SUMO and NS2
In current scenario each and every person is anxious about security and privacy. Vehicular correspondences frameworks have ways to deal with give well-being measures and solace to drivers. Vehicular communication is based on wireless short-range technolog
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Abstract In current scenario each and every person is anxious about security and privacy. Vehicular correspondences frameworks have ways to deal with give well-being measures and solace to drivers. Vehicular communication is based on wireless short-range technology that enables impulsive information interchange among vehicles and with roadside stations. A new type of network called vehicular ad hoc network (VANET) is available for providing alerts to the vehicles on highways. VANET is vehicular ad hoc network, in which mobile nodes are replaced by vehicles. Vehicular network is used to alert a driver so that accidents can be reduced and also avoid congestion on highways. This can be used for postaccident investigation as well. Frequently changing environment of VANET leads to various challenges. In this paper, the performance of vehicular ad hoc network is evaluated by focusing several key factors and reactive routing strategy.
Keywords VANET Ad hoc network sensor Roadside unit SUMO NS2
D2ITS
ITS AODV
Ultrasonic
1 Introduction In current years, three revolutions have been seen in vehicle development. It includes stronger engines, safety features, and most important is accident prevention using new technologies. Nowadays accident avoidance and prevention systems are used which is active and also help vehicles itself and drivers to avoid accidents. Prashant Panse (&) Meenu Dave JaganNath University, Jaipur, India e-mail: [email protected] Meenu Dave e-mail: [email protected] Tarun Shrimali Career Point Technical Campus, Rajsamand, India e-mail: [email protected] © Springer Science+Business Media Singapore 2016 S.C. Satapathy et al. (eds.), Proceedings of the International Congress on Information and Communication Technology, Advances in Intelligent Systems and Computing 438, DOI 10.1007/978-981-10-0767-5_15
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There are some passive safety devices available with active devices such as airbags, head restraints to reduce the severity of an accident. In today’s scenario accident preventions systems are available which are based on V2V, V2I communication. These system names include electronic brake force distribution, infrared night vision systems. Following is a detail of examples of prevention system for accidents.
1.1
Driver Fatigue Monitoring
Due to exhaustion and fatigue, it may be possible that driver falls asleep while driving which results in accidents. The system developed to help drivers is a driver monitoring system which activates the autonomous emergency breaking when the recorded eye movement is mismatched to the routine eye motion. To do so, a sensor is embedded in eye gear to monitor eye movement. A threshold level of mismatch is set, exceeding of which causes an alarm sound to alert the driver [1].
1.2
Blind Spot Accident Prevention System Based on Sensors
In this system, when the obstacle or bystander is detected by the blind spot detection device, the device triggers a first level alarm. A second level of visual and capab
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