Dynamic Placement with Connectivity for RSNs based on a Primal-Dual Neural Network

Abstract : The present work deals with the dynamic placement of a set of pursuers and a set of relay devices so that the mean distance to a set of moving targets is minimized along a given period of time. The relay devices are here in charge of maintaining the communication between the pursuers. Moving targets, relay devices and pursuers are limited in their movements from one period to the next. The periodic problem is formulated as a linear quadratic programming model and a primal-dual neural network is proposed to solve from one stage to the next the current optimization problem. Moreover, the feasibility of the proposed approach is displayed through a numerical example.