Please use this identifier to cite or link to this item: https://ruomoplus.lib.uom.gr/handle/8000/1202
Title: Real-time wireless multisensory smart surveillance with 3D-HEVC streams for internet-of-things (IoT)
Authors: Kokkonis, Georgios 
Psannis, Konstantinos 
Roumeliotis, Μanos 
Schonfeld, Dan 
Author Department Affiliations: Department of Applied Informatics 
Department of Applied Informatics 
Author School Affiliations: School of Information Sciences 
School of Information Sciences 
Subjects: FRASCATI__Engineering and technology
Keywords: Internet-of-things (IoT)
Wireless transmission
Issue Date: 1-Mar-2017
Publisher: Springer
Journal: The Journal of Supercomputing 
ISSN: 0920-8542
1573-0484
Volume: 73
Issue: 3
Start page: 1044
End page: 1062
Abstract: 
This paper presents the design of a novel, real-time, wireless, multisensory, smart surveillance system with 3D-HEVC features. The proposed high-level system architecture of the surveillance system is analyzed. The advantages of HEVC encoding are presented. Methods for synchronization between multiple streams are presented. Available wireless standards are presented and compared. A network-adaptive transmission protocol for a reliable, real-time, multisensory surveillance system is proposed. Adaptive packet frame grouping (APFG) and adaptive quantization are deployed to maximize the quality-of-experience (QoE). Measurements of the proposed protocol have been shown to provide superior results compared to existing transport protocols.
URI: https://doi.org/10.1007/s11227-016-1769-9
https://ruomoplus.lib.uom.gr/handle/8000/1202
DOI: 10.1007/s11227-016-1769-9
Corresponding Item Departments: Department of Applied Informatics
Department of Applied Informatics
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