Improving Animal-Human Cohabitation with Machine Learning in Fiber-Wireless Networks

Improving Animal-Human Cohabitation with Machine Learning in Fiber-Wireless Networks

In this paper, we investigate an animal-human cohabitation problem with the help of machine learning and fiber-wireless (FiWi) access networks integrating cloud and edge (fog) computing. We propose an early warning system which detects wild animals near the road/rail with the help of wireless sensor...

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Bibliographic Details
Main Authors: Sandeep Kumar Singh, Francisco Carpio, Admela Jukan
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Journal of Sensor and Actuator Networks
Subjects:
fiber-wireless networks
edge (fog) computing
sensors
machine learning
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Online Access:http://www.mdpi.com/2224-2708/7/3/35

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http://www.mdpi.com/2224-2708/7/3/35

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