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Well-known mobility models such as random way point models are also used for analysis.
These results show that the individual Flickr users traces can predict large human flows at different resolution scales, improving the predictive capacity of more traditional mobility models such as the gravity.
Unlike other mobility models such as the random way point mobility model [23], the BSA mobility model reflects the relationship between the mobile nodes' previous and current motion behavior.
This approach is also shown to be more suitable for use in various ad hoc networks scenarios than other proposed mobility models, such as the random waypoint (RWP) model.
In previous sections, we demonstrated the issues arising from using mobility models, such as the Gravity and Radiation models, on regions where the partitioning scheme, such as Ivory Coast administrative boundaries, does not reflect the regional affinities and border strengths these models assume.
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Studies have shown that widely used mobility models for MANETs, such as random waypoint or random direction, are not suitable to simulate vehicular movement, which is constrained to a large extent by highway patterns, traffic situations, and driver behaviors.
To model the time a mobile network remains in a cell, we assume that the cell residence time is an exponentially distributed variable with mean value 1/η MR. Moreover, to compute the cell crossing rate, we use the City Section Model (CSM [13] as the mobility model because it is a demanding model compared to other models such as the train mobility model.
The decision tree is based on nodes' mobility parameters typically considered by the theoretical models, such as distance between nodes, relative speed, and nodes' directions.
Mobility models must accurately and succinctly reflect borders that may be physical, such as gates or other guards, or abstract, such as lack of opportunities.
Group mobility models are more suitable for some ad hoc network scenarios such as groups of soldiers in military actions or a group of fire fighters in action.
We test such networks in our simulations with the following mobility models: 2-d random walk, random waypoint and Gauss-Markov (described in Section 3).
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locomotion models such
circulation models such
transportation models such
traffic models such
mobility costumes such
mobility problems such
mobility aspects such
mobility disabilities such
mobility aids such
mobility factors such
mobility issues such
mobility applications such
mobility semiconductors such
mobility entities such
mobility MTDs such
mobility restrictions such
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