| Title | A Smart City Environmental Monitoring Network and Analysis Relying on Big Data Techniques |
|---|---|
| ID_Doc | 41447 |
| Authors | Tahat, A; Aburub, R; Al-Zyoude, A; Talhi, C |
| Title | A Smart City Environmental Monitoring Network and Analysis Relying on Big Data Techniques |
| Year | 2018 |
| Published | |
| Abstract | A new integrated environmental monitoring system to carry-out real-time measurements on board a moving vehicle is presented. It is composed of an arbitrary number of Electronic Measurements Units (EMU), a smart phone application to relay collected data, and a cloud Central Processing Platform (CPP) to perform analysis utilizing big data techniques and algorithms. Each EMU consists of an electric circuit that incorporates an ultra violet (UV) sensor, an air particles concentration sensor, a temperature sensor and a humidity sensor that all interface to a microcontroller. Bluetooth is employed for communication between the EMU and the smart phone application, while a 3G/4G cellular communications network furnishes the wireless connectivity to the remote CPP. When the collected data reaches the designated cloud server (CPP), it is immediately stored for subsequent analysis. Finally, big data statistical analysis (clustering and classification), mapping and plotting are performed to deduce correlations and to facilitate inferencing. Moreover, the scalability and low-cost of selected components of this realistic system makes it very feasible for large scale deployments in the context of smart cities initiatives, ad-hoc designs, or educational projects. |
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