Challenges and Solutions of Surveillance Systems in IoT-Enabled Smart Campus: A Survey

被引:14
|
作者
Anagnostopoulos, Theodoros [1 ]
Kostakos, Panos [2 ]
Zaslavsky, Arkady [3 ]
Kantzavelou, Ioanna [4 ]
Tsotsolas, Nikos [1 ]
Salmon, Ioannis [1 ]
Morley, Jeremy [5 ]
Harle, Robert [6 ]
机构
[1] Univ West Attica, Dept Business Adm, Aigaleo 12243, Greece
[2] Univ Oulu, Ctr Ubiquitous Comp, Oulu 90570, Finland
[3] Deakin Univ, Sch Informat Technol, Burwood, Vic 3125, Australia
[4] Univ West Attica, Dept Informat & Comp Engn, Aigaleo 12243, Greece
[5] Ordnance Survey, Southampton SO15 2AA, Hants, England
[6] Univ Cambridge, Dept Comp Sci & Technol, Cambridge CB2 1TN, England
基金
芬兰科学院;
关键词
Surveillance; Taxonomy; Geospatial analysis; Security; Intelligent sensors; Internet of Things; Wireless sensor networks; Smart Campus; surveillance systems; IoT; software analytics; security; research methodology; weighted scoring model; CRITERIA; WEIGHTS; INTERNET; ELICITATION;
D O I
10.1109/ACCESS.2021.3114447
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A Smart Campus is a miniature of a Smart City with a more demanding framework that enables learning, social interaction and creativity. To ensure a Smart Campus uninterruptible secure operation, a key requirement is that daily routines and activities are performed protected in an environment monitored unobtrusively by a robust surveillance system. The various components that compose such an environment, buildings, labs, public spaces, smart lighting, smart parking, or even smart traffic lights, require us to focus on surveillance systems, and recognize which detection activities to establish. In this paper, we perform a comparative assessment in the area of surveillance systems for Smart Campuses. A proposed taxonomy for IoT-enabled Smart Campus unfold five research dimensions: (1) physical infrastructure; (2) enabling technologies; (3) software analytics; (4) system security; and (5) research methodology. By applying this taxonomy and by adopting a weighted scoring model on the surveyed systems, we first present the state-of-the-art, and then we make a comparative assessment and classify the systems. We extract valuable conclusions and inferences from this classification, providing insights and directions towards required services offered by surveillance systems for Smart Campus.
引用
收藏
页码:131926 / 131954
页数:29
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