Big data analytics has started to use data collected from the sensors in smartphones. This
data may be used by disaster response teams for locating problems. But the regular …

Fog computing is a disruptive technology in the big data analytics area. Smartphone users
and organizations use cellular services, which can support decision-making in disaster …

The use of big data has led to many technologies that were previously thought to be
impossible. We are now able to analyze the spread of a disaster automatically through the …

Spatial big data analytics has become possible with the data collected from the sensors in
smart phones, which can support decision-making in disaster scenarios. However …

Big data analysis is very important to support rescue activities when natural disaster
happens, through understanding various situations, such as power/water outage regions …

For the Internet of Things (IoT), the cloud computing plays an important role by offering
storage, management, and processing of a large amount of data on the central remote …

Spatial big data analysis is very important in disaster scenarios to understand distribution
patterns of situations, eg, people's movements, people's requirements, resource shortage …

After major disasters, temporary deployable cellular networks are often used to construct an
emergency communication network. These networks do not have the same level of …

The main concern of fog computing is reducing data transmission on the cloud. Moreover,
due to the short distance between end-user and fog nodes, fog computing considered more …

Emergency management systems are being developed using innovative technologies such
as Internet of Things (IoT), 5G, cloud and fog computing. These new technologies help to …