Dynamic Scheduling and Stochastic Control for Sensor Networks

传感器网络在环境监测、导航和边境监视等领域的应用正迅速变得重要起来。然而，由于带宽的限制，即使是非常简单的网络也被证明是非常复杂的，无法正确控制。现在有必要有效地将“有限的可用带宽”分配给传感器，以便在网络上共享最有价值的数据。因此，本项目提出了使用动态传感器调度和随机控制概念的新技术，为有限和可变带宽问题提供计算上可行和接近最优的解决方案。这项工作将大大提高分布式传感器网络的运行性能。

Sensor networks are rapidly becoming important in applications from environmental monitoring, navigation to border surveillance. However, due to bandwidth constraints, even very simple networks have proven to be very complex to properly control. It is now necessary to efficiently allocate the 'limited available bandwidth' to sensors in order to share the most valuable data over the network. Therefore, this project proposes new techniques using concepts of dynamic sensor scheduling and stochastic control to provide computationally feasible and near optimal solutions to the limited and varying bandwidth problem. This work will greatly enhance the operational performance of distributed sensor networks.