Coverage and Network Requirements of a “Big Data” Flash Crowd Monitoring System Using User’s Devices
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Over the past few decades, aural and visual monitoring of massive people gatherings has become a critical problem of national security. In order to tackle this problem, a fixed infrastructure is used whenever possible. The aim of this thesis is to propose the system for spontaneous “flash crowd” monitoring in areas with no fixed infrastructure. The basic concept is to engage users with their mobile devices to participate in the monitoring process. The system takes on characteristics of “big data” generators. We analyze the proposed system for coverage metrics and estimate the rate imposed on the wireless network. Our results show that given a certain level of participation the LTE network can support aural monitoring with prescribed guarantees. However, the modern LTE system cannot fully support visual monitoring, as much more capacity is required. This capacity may potentially be provided by forthcoming millimeter wave and terahertz communication systems. The analysis is conducted mainly using own custom-build simulation environment in C programming language to simulate the formalized problem. The processes and experiments run by using many resources to reduce the time consumption due to large number of calculations. And the graphs are sketched from the numerical results by using MATLAB.