Abstract
Over the last decade aural and visual monitoring of massive people gatherings has become a critical problem of national security. Whenever possible a fixed infrastructure is used for this purpose. However, in case of spontaneous gatherings the infrastructure may not be available. In this paper, we 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 communications systems.
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Nguyen, A., Komarov, M., Moltchanov, D. (2016). Coverage and Network Requirements of a “Big Data” Flash Crowd Monitoring System Using Users’ Devices. In: Galinina, O., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NEW2AN 2016 2016. Lecture Notes in Computer Science(), vol 9870. Springer, Cham. https://doi.org/10.1007/978-3-319-46301-8_31
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DOI: https://doi.org/10.1007/978-3-319-46301-8_31
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