Wireless Sensor Networks for Indoor Search and Rescue operations

Alexander Chizhov, Andrey Karakozov

Abstract


Many people all around the world live in a daily threat of natural disasters, such as earthquakes or floods. Numerous projects study ways to predict natural disasters, but the number of research focusing on aftermaths is much smaller. Traditional ways first response teams use are, for example, radars and canines, which mainly search surface and near-surface regions of the rubble. Such methods, however, are quite ineffective in locating victims inside a rubble, as access to such regions is often problematic.
A superior approach to this problem might be wireless sensor networks (WSN). WSNs are able to provide a more efficient way to deal with search and rescue operations, making them quicker and lessening the risk for both rescuers and victims, by autonomously collecting data about the situation inside the rubble.
In this paper we review current WSN assisted indoor search and rescue operations projects and design issues that developers of such systems face with.

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