Title
Real-time wireless multisensory smart surveillance with 3D-HEVC streams for internet-of-things (IoT).
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.
Year
DOI
Venue
2017
10.1007/s11227-016-1769-9
The Journal of Supercomputing
Keywords
Field
DocType
Smart surveillance,Internet-of-things (IoT),HEVC,Depth cameras,Real-time transport protocols,Wireless transmission
Synchronization,Wireless,Computer science,Internet of Things,Network packet,Computer network,Real-time computing,Systems architecture,Quantization (signal processing),Smart surveillance,Encoding (memory),Distributed computing
Journal
Volume
Issue
ISSN
73
3
0920-8542
Citations 
PageRank 
References 
25
0.86
17
Authors
4
Name
Order
Citations
PageRank
George Kokkonis1608.18
Kostas E. Psannis244329.71
Manos Roumeliotis317818.22
Dan Schonfeld496395.32