Car to Car Communication using IoT

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Abstract

The upcoming technology where machine to machine communication is possible by deploying the intelligent sensors on machine for smart interaction. Internet of things (IoT) gives a wide scope in many application domains where number of smart gadgets per person is increasing exponentially with time. The automobile sector is also one of the application domain where vehicle can be madeintelligent by using IoT. This paper presents the interface of ESP 32 development board, sensor shield and smart phone. The proposed schematic is for car security which gives the access of car through WI FI , car is becoming a form idable sensor platform, absorbing information from the environment, from other cars (and from the driver) and feeding it to other cars and infrastructure to assist in safe navigation, pollution control and traffic management. The Vehicle Grid essentially becomes an Internet of Things (IOT), which we call Internet of Vehicles (IOV), capable to make its own decisions about driving customers to their destinations. Like other important IOT examples (e.g., smart buildings), the Internet of Vehicles will not merely upload data to the Internet using V2I. It will also use V2V communications between peers to complement on board sensor inputs and provide safe and efficient navigation. In this paper, we first describe several vehicular applications that leverage V2V and V2I. Communications with infrastructure and with other vehicles, however, can create privacy and security violations. In the second part of the paper we address these issues and more specifically focus on the need to guarantee location privacy to mobile users. We argue on the importance of creating public, open "smart city" data repositories for the research community and propose privacy preserving techniques for the anonymous uploading of urban sensor data from vehicles.

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-, A. K., -, S. P., -, N. D. S., -, S. R. M., & -, A. P. (2023). Car to Car Communication using IoT. International Journal For Multidisciplinary Research, 5(4). https://doi.org/10.36948/ijfmr.2023.v05i04.4195

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