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Proceedings Paper

Real-time visual communication to aid disaster recovery in a multi-segment hybrid wireless networking system
Author(s): Tawfik Al Hadhrami; Qi Wang; Christos Grecos
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Paper Abstract

When natural disasters or other large-scale incidents occur, obtaining accurate and timely information on the developing situation is vital to effective disaster recovery operations. High-quality video streams and high-resolution images, if available in real time, would provide an invaluable source of current situation reports to the incident management team. Meanwhile, a disaster often causes significant damage to the communications infrastructure. Therefore, another essential requirement for disaster management is the ability to rapidly deploy a flexible incident area communication network. Such a network would facilitate the transmission of real-time video streams and still images from the disrupted area to remote command and control locations. In this paper, a comprehensive end-to-end video/image transmission system between an incident area and a remote control centre is proposed and implemented, and its performance is experimentally investigated. In this study a hybrid multi-segment communication network is designed that seamlessly integrates terrestrial wireless mesh networks (WMNs), distributed wireless visual sensor networks, an airborne platform with video camera balloons, and a Digital Video Broadcasting- Satellite (DVB-S) system. By carefully integrating all of these rapidly deployable, interworking and collaborative networking technologies, we can fully exploit the joint benefits provided by WMNs, WSNs, balloon camera networks and DVB-S for real-time video streaming and image delivery in emergency situations among the disaster hit area, the remote control centre and the rescue teams in the field. The whole proposed system is implemented in a proven simulator. Through extensive simulations, the real-time visual communication performance of this integrated system has been numerically evaluated, towards a more in-depth understanding in supporting high-quality visual communications in such a demanding context.

Paper Details

Date Published: 1 May 2012
PDF: 14 pages
Proc. SPIE 8437, Real-Time Image and Video Processing 2012, 84370R (1 May 2012); doi: 10.1117/12.924257
Show Author Affiliations
Tawfik Al Hadhrami, Univ. of the West of Scotland (United Kingdom)
Qi Wang, Univ. of the West of Scotland (United Kingdom)
Christos Grecos, Univ. of the West of Scotland (United Kingdom)

Published in SPIE Proceedings Vol. 8437:
Real-Time Image and Video Processing 2012
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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