Jong-Won Park, Ye-Chan Sim, Hae-Sun Jung, Yong-Woo Lee, Journal of Internet Computing and Services, Vol. 19, No. 4, pp. 1-6, Aug. 2018
10.7472/jksii.2018.19.4.1, Full Text:
Keywords: Smart Cities, Geographical Information, Big Sensor Data Stream, Generation of Real-time three Dimensional Noise Maps, Real-time Distributed Parallel Processing, Performance Evaluation

Abstract

In smart cities, data from various kinds of sensors are collected and processed to provide smart services to the citizens. Noise information services with noise maps using the collected sensor data from various kinds of ubiquitous sensor networks is one of them. This paper presents a research result which generates three dimensional (3D) noise maps in real-time for smart cities. To make a noise map, we have to converge many informal data which include big image data of geographical Information and massive sensor data. Making such a 3D noise map in real-time requires the processing of the stream data from the ubiquitous sensor networks in real-time and the convergence operation in real-time. They are very challenging works. We developed our own methodology for real-time distributed and parallel processing for it and present it in this paper. Further, we developed our own real-time 3D noise map generation system, with the methodology. The system uses open source softwares for it. Here in this paper, we do introduce one of our systems which uses Apache Storm. We did performance evaluation using the developed system. Cloud computing was used for the performance evaluation experiments. It was confirmed that our system was working properly with good performance and the system can produce the 3D noise maps in real-time. The performance evaluation results are given in this paper, as well.

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