Application of Big Data, Cloud Computing, Wireless Sensor Networks and Unmanned Aerial Vehicles in Disasters: An Analysis

When a disaster occurs, collecting and sharing disaster information about affected areas is one of the most important activities in order to optimal decision making for relief operations. Also because the infrastructures are destroyed or damaged after a disaster, WSNs and UAVs can be used to receive online data from the affected areas. This results in making a lot of data with high rates of production through social networks as well as mobile phones of affected people in affected areas as well as WSNs and UAVs which indicates the necessity of Big Data. On the other hand cloud computing is a service, independent of device and location where computing can be performed at high speed and this shows the need for cloud computing as well. In other words these two technologies provide real-time data analysis not just for emergency situation identification in the affected areas but also to rescue the affected people. In this paper we try to provide a comprehensive analysis of application of Big Data, Cloud Computing, Wireless Sensor Networks (WSN) and Unmanned Aerial Vehicles (UAV) in relief problems.