IP Traffic Modelling in Scalable Drone Network for Carrying Scalable Logistic Operations

This study presents a self modelling method for control system of multi-coupled non-linear scalable drones based logistic services with the help of second-order dynamics of communicating membrane system by realizing consensus. This usually requires a layered multiple network control architecture designed mainly for coordinating access of various unmanned aerial vehicles to control airspace, package delivery, rescue, traffic surveillance and more. Here, the communicating membrane system is modelled based on the theory of fractional differential equations. At every interval of the sampling time, all the subsystems are optimally synchronized in P population system by multiset-rewriting rules including the effect of symport/antiport systems. Model of the minimal symport or antiport is also derived to ensure the universality for P systems with multiset-rewriting rules. Further research in this domain will enable the development of evolving architecture of a non-linear cyber physical system. The close loop stability and the recursive feasibility of the evolved architecture are also studied. Comparison are also drawn predictive control to prove the effectiveness of the proposed system.