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In emergency scenarios, rescuers need specific information about the affected areas. Such information are normally collected by sensors, but sometimes they could not be available because, as a consequence of a disaster, the pre-deployed infrastructure might be damaged, and rescue teams could not easily deploy new sensors in unfavorable conditions. In such situations, it is possible to exploit the victim's devices, already located within the affected area, and powerful enough to provide the needed sensing information (environmental, like smoke and temperature, and personal, like users' biometrics). Furthermore, this paradigm (so called Participatory Sensing), by providing a highly pervasive computing, can drastically save deploying costs for extra sensors.
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