作者
Ashish Rauniyar, Paal Engelstad, Boning Feng
发表日期
2016/11/1
研讨会论文
2016 IEEE 2nd international conference on collaboration and internet computing (CIC)
页码范围
490-494
出版商
IEEE
简介
In internet of things (IoT) paradigm, crowdsourcing is the process of obtaining and analyzing information or input to a particular task or project generated by a number of sources such as sensors, mobile devices, vehicles and human. Cloud computing is widely used for the services such as analyzing crowdsourced data and application implementation over the IoT. Nowadays, every country and human are prone to natural and artificial disasters. Early detection about disasters such as earthquakes, fire, storms, and floods can save thousands of people's life and effective preventive measure can be taken for the public safety. All the crowdsourced data which are providing the information of a certain geographic region are analyzed in a cloud platform. But, by the time the crowdsourced data makes its way to the cloud for analysis, the opportunity to act on it might be gone. Moreover, thousands of people's life will be lost …
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