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Title Artificial Intelligence Enabled Smart City Iot System Using Edge Computing
ID_Doc 10465
Authors Thalluri L.N.; Venkat S.N.; Prasad C.V.V.D.; Kumar D.V.; Kumar K.P.; Sarma A.V.S.Y.N.; Adapa S.D.
Year 2021
Published Proceedings - 2nd International Conference on Smart Electronics and Communication, ICOSEC 2021
DOI http://dx.doi.org/10.1109/ICOSEC51865.2021.9591732
Abstract This research work has developed an artificial intelligence (AI) enabled smart city IoT system using Edge Computing. To take the smart decision and data processing purpose, this research work has deployed AI algorithms. The novelty in this work is, incorporation of Edge computing in IoT system, which enhances the performance of the IoT system by reducing the load on the cloud. Wi-Fi protocol is used in the network level for data transmission. Raspberry-pi is used to design edge server. The main motivation of this project is to prevent from unexcepted pollution levels in air, water, etc., that causes harmful to the health and also to the nature. So, in this smart city application includes City air management, managing the traffic and transportation, utilization of power effectively, water pollution monitoring. and this monitoring is done by different sensors like camera, gas sensor, water quality sensors, other monitoring sensors. We gather physiological data from the sensors environment and stores it in the database and analyze it to take smart decision and indicates it on the webpage and intimate that information to the through e-mail via SMTP. © 2021 IEEE.
Author Keywords Artificial Intelligence; Cloud Computing; Edge Computing Sensors; IoT; Raspberry Pi; Smart city; Wireless Networks


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