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

机译:基于原始-双神经网络的RSN连接的动态放置

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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 abng 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.
机译:本工作涉及一组追踪器和一组中继设备的动态放置,以便在给定时间段内到一组移动目标的平均距离最小。中继设备在这里负责维持追踪者之间的通信。移动目标,中继设备和跟踪器从一个周期到下一周期的移动受到限制。将周期问题表述为线性二次规划模型,并提出了一个原始-对偶神经网络来解决从一个阶段到下一阶段的当前优化问题。此外,通过数值示例显示了所提出方法的可行性。

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