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This is because mobile communication systems focus merely on the mobility behavior of mobile users.
Although these variations bring back uncertainty in the act of VHO decision making, they can be utilized to extract precious information about propagation environment and mobility behavior of mobile user [4].
Two key parameters, and, define the mobility behavior of the mobile nodes.
Mobility behavior of MTs is considered according to mobility profile proposed in [4].
In [22], authors show that it is possible to model the overall mobility behavior of customers.
The classification of groups is based on the mobility behavior of a population.
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Therefore, the protocol pays attention to the mobility behaviors of nodes so that terrestrial and aerial nodes employ proactive and reactive modes, respectively.
In contrary to the performed study by Ramachandran [39], the proposed hybrid routing protocol by Le [40] considers the mobility behaviors of nodes where selecting the routing method.
To best of our knowledge, this work represents the first study that utilizes inference algorithms to predict the presence of influenza-like symptoms by only looking at the mobility behaviors of a specific individual.
However, despite the importance of such applications a little effort has been put in this field, mainly because it is very difficult to have a data set which contains both self-reported health symptoms and mobility behaviors of a single individual.
However, there is a lack of automatic observation techniques, which enable the continuous and systematic recording of the mobility behavior, the producing of non-arbitrary registries, the gathering of big data and the emergence of patterns.
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