Please use this identifier to cite or link to this item:
Title: The last minute : efficient data evacuation strategy for sensor networks in post-disaster applications
Authors: Liu, M
Gong, H
Wen, Y
Chen, G
Cao, J 
Keywords: Data evacuation
Post-disaster applications
Sensor networks
Issue Date: 2011
Source: Proceedings - IEEE INFOCOM, 2011, 5935131, p. 291-295 How to cite?
Abstract: Disasters (e.g., earthquakes, flooding, tornadoes, oil spilling and mining accidents) often result in tremendous cost to our society. Previously, wireless sensor networks (WSNs) have been proposed and deployed to provide information for decision making in post-disaster relief operations. The existing WSN solutions for post-disaster operations normally assume that the deployed sensor network can tolerate the damage caused by disasters and maintain its connectivity and coverage, even though a significant portion of nodes have been physically destroyed. In reality, however, this assumption is often invalid for disastrous events like earthquakes in large scale, limiting the relief capability of the existing solutions. Inspired by the "blackbox" technique in flight industry, we propose that preserving "the last snapshot" of the whole network and transferring those data to a safe zone would be the most logical approach to provide necessary information for rescuing lives and control damages. In this paper, we introduce Data Evacuation (DE), an original idea that takes advantage of the survival time of the WSN, i.e., the gap from the time when the disaster hits and the time when the WSN is paralyzed, to transmit critical data to sensor nodes in the safe area. Mathematically, the problem can be formulated as a nonlinear programming problem with multiple minimums in its support. We propose a gradient-based DE algorithm (GRAD-DE) to verify our DE strategy. Numerical investigations reveal the effectiveness of GRAD-DE algorithm.
Description: IEEE INFOCOM 2011, Shanghai, 10-15 April 2011
ISBN: 9781424499212
ISSN: 0743-166X
DOI: 10.1109/INFCOM.2011.5935131
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Jul 12, 2018

Page view(s)

Last Week
Last month
Citations as of Jul 9, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.