Paper Info
Title
Localization and Rescue Planning of Indoor Victims in a Disaster
Abstract
In this paper, we discuss rescue planning for disaster victims trapped in a partially collapsed multistory building. Before the rescue teams enter the building, the number and approximate locations of victims should be determined leading to efficient planning of the search and rescue paths for saving more lives. We develop the MLOCATE algorithm based on the assumption that several victims have cell phones and the paths are partially intact. The MLOCATE algorithm performs localization and clustering of victims. Next, the rescue priorities of the clusters and floors are computed. Finally, prioritized paths are presented in visual format, avoiding obstructions introduced due to debris or fire. The results of simulation run of the algorithm are discussed showing quick and efficient rescue path planning.
Year
DOI
Venue
2022
10.1007/s11277-022-09871-z
WIRELESS PERSONAL COMMUNICATIONS
Keywords
DocType
Volume
Disaster rescue planning, Cellular network, Clustering, Prioritized routing, Emergency 4G LTE usage
Journal
126
Issue
ISSN
Citations 
4
0929-6212
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Junaid Ahmed Zubairi1226.42
Sahar Idwan2185.05