Controlled sampling using an energy harvesting sensor

A. Seyedi
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引用次数: 1

Abstract

The problem of sampling from a remote sensor, powered by energy harvesting, is considered. The problem is formulated as a partially observable Markov decision process (POMDP), since the controller only has partial knowledge of the energy reserve at the sensor. Three policies are proposed and their performances are evaluated and compared to that of a clairvoyant policy.
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使用能量采集传感器控制采样
考虑了以能量收集为动力的遥感器的采样问题。由于控制器对传感器的能量储备只有部分知识,因此将该问题表述为部分可观察马尔可夫决策过程(POMDP)。提出了三种策略,并对其性能进行了评价,并与前瞻性策略进行了比较。
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