Your English writing platform
Discover LudwigExact(4)
Section 2 describes the mobility prediction scheme.
We derive our mobility prediction scheme from data compression techniques that are both theoretically optimal and good in practice.
Our mobility prediction scheme is motivated by computational learning theory, which has shown that prediction is synonymous with data compression.
While the routing process is going on, due to the Mobility Prediction scheme, nodes with least velocity alone are included in the neighbor lists.
Similar(56)
Son et al. [11] proposed two mobility prediction schemes; neighbor position prediction and destination position prediction, to overcome lost link and loop problems in position-based routing protocols.
A multiclass support vector machine-based mobility prediction (Multi-SVMMP) scheme was proposed in [12], which could estimate the future location of mobile users according to the movement history information of each user in HetNets.
A mobility prediction and opportunistic cloud computing scheme network topology reconfiguration is proposed in WMSN survivability mechanism, which could real-time enhance network survivability.
Instead of a cross-validation scheme, these new samples were predicted using a class prediction scheme.
Then, the opportunity computational scheme was given based on mobility prediction of dynamic topology evolution mechanism.
Based on cooperative neural network and opportunity Markov chain model, the accurate prediction of multimedia mobile sensor node state and state transition probability then is given based on mobility prediction of dynamic topology evolution mechanism and the opportunity computational scheme.
We validate the performance and generalizability of our approach using two ground-truth datasets on air travel and daily commuting in the United States: using two different cross-validation schemes we show that the hybrid model affords enhanced mobility prediction at both spatial scales.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com