Develops a fluid model for non-stationary spatial networks by coupling Lagrangian transport with Eulerian geometry via optimal transport to derive information flux and kinematic predictors.
A cooperative computation offloading strategy with on-demand deployment of multi-UA Vs in UA V aided mobile edge computing,
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Fluid-Spatiotemporal Stochastic Geometry: Information Flow in Non-Stationary Fields
Develops a fluid model for non-stationary spatial networks by coupling Lagrangian transport with Eulerian geometry via optimal transport to derive information flux and kinematic predictors.