We consider the minimization of the cost of actuation error under resource constraints for real-time tracking in wireless autonomous systems. A transmitter monitors the state of a discrete random process and sends updates to the receiver over an unreliable wireless channel. The receiver takes actions according to the estimated state of the source. For each discrepancy between the real state of the source and the estimated one, we consider a different cost of actuation error. This models the case where some states, and consequently the corresponding actions to be taken, are more important than others. We provide two algorithms: one reaching an optimal solution but of high complexity, and one providing a suboptimal solution but with low complexity. The performance of the two algorithms are quite close as shown by the simulations.
翻译:在无线自主系统实时跟踪的资源限制下,我们考虑将触发错误的成本降到最低。一个发报机监测离散随机程序的状况,并在不可靠的无线频道上向接收者发送更新信息。接收器根据源的估计状态采取行动。对于源的实际状态与估计的源的每个差异,我们考虑不同的触发错误成本。这个模型中,一些国家以及随后将要采取的相应行动比其他国家更为重要。我们提供了两种算法:一种是达成最佳解决方案,但高度复杂,另一种是提供不最优化的解决方案,但复杂性较低。两种算法的性能与模拟所显示的相当接近。</s>