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Internet of Things and Fog Computing Applications in Intelligent Transportation Systems
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Author(s): Korupalli V. Rajesh Kumar (Vellore Institute of Technology, India), K. Dinesh Kumar (Vellore Institute of Technology, India), Ravi Kumar Poluru (Vellore Institute of Technology, India), Syed Muzamil Basha (Vellore Institute of Technology, India)and M Praveen Kumar Reddy (Vellore Institute of Technology, India)
Copyright: 2020
Pages: 20
Source title:
Architecture and Security Issues in Fog Computing Applications
Source Author(s)/Editor(s): Sam Goundar (British University Vietnam, Vietnam), S. Bharath Bhushan (Sree Vidyanikethan Engineering College, Tirupati, India)and Praveen Kumar Rayani (National Institute of Technology, Durgapur, India)
DOI: 10.4018/978-1-7998-0194-8.ch008
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Abstract
Self-driving vehicles such as autonomous cars are manufactured mostly with smart sensors and IoT devices with artificial intelligence (AI) techniques. In most of the cases, smart sensors are networked with IoT devices to transmit the data in real-time. IoT devices transmit the sensor data to the processing unit to do necessary actions based on sensor output data. The processing unit executes the tasks based on pre-defined instructions given to the processor with embedded and AI coding techniques. Continuous streaming of sensors raw data to the processing unit and for cloud storage are creating a huge load on cloud devices or on servers. In order to reduce the amount of stream data load on the cloud, fog computing, or fogging technology, helps a lot. Fogging is nothing but the pre-processing of the data before deploying it into the cloud. In fog environment, data optimization and analytical techniques take place as a part of data processing in a data hub on IoT devices or in a gateway.
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