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Smart Sensors and Systems pp 441–466Cite as

Edge Computing for Cooperative Real-Time Controls Using Geospatial Big Data

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Abstract

Recently, sensing technology and Internet of Things (IoT) have much attention for designing and developing affluent and smart social systems. Although huge sensing data are collected in cloud, generally cloud systems are facing poor scalability and difficulty of real-time feedback. In this paper, we focus on geospatial sensing data welled out continuously everywhere and consider how we can treat such huge sensing data. Here, first we introduce the notion of “Edge Computing,” and explain its history, features, and research challenge. Then, we discuss about how we can apply this notion for designing scalable IoT-based social systems. As an example, we introduce our recent research work about the development of IoT-based cyber physical systems (CPS). Especially, we focus on safety management in urban districts by estimating up-to-date (real-time) population distribution and creating pedestrian mobility in urban districts from inaccurate sensing information. In urban areas, we might only be able to use heterogeneous sensors with different accuracy for crowd sensing. Thus, we propose a method for creating realistic human mobility using such heterogeneous sensors, and explain techniques to reproduce passages, add normal/emergency pedestrian flows, and check efficiency of evacuation plans on 3D map so that local governments can make efficient evacuation plans. We also introduce a method for the prediction of vehicle speeds in snowy urban roads. We believe those IoT-based social systems have enough scalability and dependability using the edge computing paradigm.

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Acknowledgements

This work is partly supported by Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Scientific Research(S) (KAKENHI) Grant Number 26220001. The research work introduced in Sects. 16.3 and 16.4 has been jointly carried out with Prof. Hirozumi Yamaguchi, Akihito Hiromori, Akira Uchiyama, Takamasa Higuchi, Takaaki Umedu, and graduate students in our laboratory.

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Authors and Affiliations

  1. Graduate School of Information Science and Technology, Osaka University, Yamadaoka 1–5, Suita, Osaka, 565-0871, Japan

    Teruo Higashino

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  1. Teruo Higashino
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Correspondence to Teruo Higashino .

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Editors and Affiliations

  1. Center for Integrated Smart Sensors, Yuseong-gu, Daejeon, Korea (Republic of)

    Chong-Min Kyung

  2. System LSI Research Center, Kyushu University, Fukuoka, Japan

    Hiroto Yasuura

  3. Circuits and Systems Division, Tsinghua University, Beijing, China

    Yongpan Liu

  4. National Tsing Hua University , Hsichu, Taiwan

    Youn-Long Lin

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Higashino, T. (2017). Edge Computing for Cooperative Real-Time Controls Using Geospatial Big Data. In: Kyung, CM., Yasuura, H., Liu, Y., Lin, YL. (eds) Smart Sensors and Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-33201-7_16

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  • DOI: https://doi.org/10.1007/978-3-319-33201-7_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33200-0

  • Online ISBN: 978-3-319-33201-7

  • eBook Packages: EngineeringEngineering (R0)

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