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Publication Type : Journal Article
Source : Architecture and Security Issues in Fog Computing Applications
Campus : Bengaluru
School : School of Computing
Year : 2019
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.
Cite this Research Publication : K Dinesh Kumar et al., “Internet of Things and Fog Computing Applications in Intelligent Transportation Systems”, Architecture and Security Issues in Fog Computing Applications, IGI global, pp. 131-150, 2019.