emu_city

A Smart City Environmental Monitoring Ad-Hoc Network and Analysis Relying on Data Mining and Big Data Techniques

Ashraf A Tahat, Ruba Aburub, Aseel Al-Zyood

Princess Sumaya University for Technology

King Abdullah II School of Engineering

Amman, Jordan

A new integrated environmental monitoring system suitable for Smart Cities Initiatives was designed and implemented to carry-out real-time measurements on board a set of moving vehicles is presented. It is composed of an arbitrary number of Electronic Measurement Units (EMUs), a smartphone application to relay collected data, and a cloud Central Processing Platform (CPP) to perform analysis utilizing data mining techniques and big data algorithms. Each EMU consists of an electronic circuit that incorporates an ultra violet (UV) sensor, an air particles concentration sensor, a temperature sensor and a humidity sensor (and can be expanded to include many other environmental parameters) that all interface to a microcontroller. Bluetooth is employed for communication between the EMU and the smartphone 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.

Presentation of the Project: