Abstract

Disaster can occur in different forms-like earthquakes, flooding, tornadoes, oil spilling, mining accidents etc.; along with these natural calamities, a few disasters can be caused by human being-like sudden radiation of hazardous gas, explosion of hazardous gas tank, sudden leakage of polluted water etc. Disaster can affect human being directly or indirectly. All these disasters have not only the capability to destroy invaluable assets but also they can take plenty of lives. Post disaster information like damage level, any existence of life signal is very much essential for effective relief operations. To access post-disaster information, a few wireless sensor networks (WSNs) have already been proposed previously. However the proposed WSN solutions primarily assume that the deployed sensor network has the ability to tolerate any damage caused by different disaster and the sensor nodes of the network can maintain their connectivity and coverage, but practically a large portion of nodes can been easily destroyed by disasters. So practically, those assumptions taken by existing solutions are often invalid for different disaster scenario. One most practical and logical approach can be taking the advantage of survival time of sensor networks and sending critical data to any safe zone with in that time. In this paper we have proposed two techniques of data evacuation, i.e. modified Gradient based Data Evacuation (modified GRAD-DE) and Power of Two Choices based Data Evacuation (P2C-DE).

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