In this paper, we consider an information update system where a wireless sensor sends timely updates to the destination over an erasure channel with the supply of harvested energy and reliable backup energy. The metric Age of Information(AoI) is adopted to measure the timeliness of the received updates at the destination. We aim to find the optimal information updating policy that minimizes the time-average weighted sum of the AoI and the reliable backup energy cost by formulating an infinite state Markov decision process(MDP). The optimal information updating policy is proved to have a threshold structure. Based on this special structure, an algorithm for efficiently computing the optimal policy is proposed. Numerical results show that the optimal updating policy proposed outperforms baseline policies.
翻译:在本文中,我们考虑建立一个信息更新系统,让无线传感器通过一个封闭渠道及时向目的地发送最新消息,提供收获的能源和可靠的后备能源。采用了“衡量信息时代”来衡量在目的地收到的更新的及时性。我们的目标是找到最佳信息更新政策,通过制定无限的Markov州决策程序,最大限度地减少AoI的平均加权总和和和可靠的备用能源成本。最佳信息更新政策已证明有一个门槛结构。在这个特殊结构的基础上,提出了高效计算最佳政策的算法。数字结果显示,最佳更新政策提出了优于基线政策。