An intelligent and secure system for predicting and preventing Zika virus outbreak using Fog computing |
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Authors: | Sanjay Sareen Sunil Kumar Gupta Sandeep K Sood |
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Institution: | 1. Computer Section, Guru Nanak Dev University, Amritsar, Punjab, India;2. I. K. Gujral Punjab Technical University, Kapurthala, Punjab, India;3. Department of Computer Science and Engineering, Beant College of Engineering and Technology, Gurdaspur, Punjab, India;4. Department of Computer Science and Engineering, Guru Nanak Dev University Regional Campus, Gurdaspur, Punjab, India |
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Abstract: | Zika virus is a mosquito-borne disease that spreads very quickly in different parts of the world. In this article, we proposed a system to prevent and control the spread of Zika virus disease using integration of Fog computing, cloud computing, mobile phones and the Internet of things (IoT)-based sensor devices. Fog computing is used as an intermediary layer between the cloud and end users to reduce the latency time and extra communication cost that is usually found high in cloud-based systems. A fuzzy k-nearest neighbour is used to diagnose the possibly infected users, and Google map web service is used to provide the geographic positioning system (GPS)-based risk assessment to prevent the outbreak. It is used to represent each Zika virus (ZikaV)-infected user, mosquito-dense sites and breeding sites on the Google map that help the government healthcare authorities to control such risk-prone areas effectively and efficiently. The proposed system is deployed on Amazon EC2 cloud to evaluate its performance and accuracy using data set for 2 million users. Our system provides high accuracy of 94.5% for initial diagnosis of different users according to their symptoms and appropriate GPS-based risk assessment. |
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Keywords: | Zika virus mosquito sensor Fog computing fuzzy k-nearest neighbour Google map |
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