Security and Privacy in New Computing Environments. Second EAI International Conference, SPNCE 2019, Tianjin, China, April 13–14, 2019, Proceedings

Research Article

Fog-Enabled Smart Campus: Architecture and Challenges

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  • @INPROCEEDINGS{10.1007/978-3-030-21373-2_50,
        author={Chaogang Tang and Shixiong Xia and Chong Liu and Xianglin Wei and Yu Bao and Wei Chen},
        title={Fog-Enabled Smart Campus: Architecture and Challenges},
        proceedings={Security and Privacy in New Computing Environments. Second EAI International Conference, SPNCE 2019, Tianjin, China, April 13--14, 2019, Proceedings},
        proceedings_a={SPNCE},
        year={2019},
        month={6},
        keywords={Smart campus Fog computing Architecture Internet of Things},
        doi={10.1007/978-3-030-21373-2_50}
    }
    
  • Chaogang Tang
    Shixiong Xia
    Chong Liu
    Xianglin Wei
    Yu Bao
    Wei Chen
    Year: 2019
    Fog-Enabled Smart Campus: Architecture and Challenges
    SPNCE
    Springer
    DOI: 10.1007/978-3-030-21373-2_50
Chaogang Tang1, Shixiong Xia1, Chong Liu2, Xianglin Wei3,*, Yu Bao1, Wei Chen1
  • 1: China University of Mining and Technology
  • 2: The George Washington University
  • 3: Nanjing Telecommunication Technology Research Institute
*Contact email: wei_xianglin@163.com

Abstract

In recent years, much attention has been paid on the design and realization of smart campus, which is a miniature smart city paradigm consisting of its unique infrastructures, facilities, and services. Realizing the full vision of smart campus needs an instrumented, interconnected, and intelligent cyber physical system leveraging ICTs and physical infrastructures in the campus. Moreover, the study of a smart campus could pave a way for studying smart cities. In a smart campus, heterogeneous big data is continuously generated by the different functional sensing devices. This poses great challenges on the computation, transmission, storage, and energy consumption of traditional sensor-to-cloud continuum, which typically incurs huge amount of network transmission, high energy consumption, and long (sometimes intolerable) processing delay. Based on these observations, we propose a fog-enabled smart campus to enhance the real-time service provisioning. An architecture of smart campus is put forward, in which multiple fog nodes are deployed to guarantee the real-time performance of services and applications by performing tasks at the network edge. Furthermore, a lot of open research issues regarding to this architecture are discussed in hope to inspire to expand more research activities in this field.