Average Age-of-Information with a Backup Information Source

Average Age-of-Information with a Backup Information Source
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具有备份信息源的平均信息时代

DOI:
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发表时间:
2019
期刊:
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
影响因子:
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通讯作者:
Deniz Gündüz
Deniz Gündüz
中科院分区:
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文献类型:
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作者:
Elvina Gindullina;L. Badia;Deniz Gündüz

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物联网(IoT)设备收集和传输的数据通常用于控制和监控目的;因此,它们的及时交付对于底层应用至关重要。然而,物联网设备的能源非常有限,严重降低了它们及时收集和处理状态更新的能力。物联网系统通过采用多个低功耗低复杂度设备来弥补这些限制,这些设备可以监控相同的信号,可能具有不同的质量观测和不同的能源成本,以针对单个节点的限制创建多样性。我们调查的政策,以尽量减少平均年龄的信息(AoI)在一个监控系统,收集数据的两个来源的信息表示为主要和备份来源,分别。我们假设,每个源提供不同的权衡AoI和能源成本之间。监测节点配备有有限尺寸的电池并收集环境能量。对于这种设置,我们将来自两个源的状态更新的调度公式化为马尔可夫决策过程(MDP),并获得决定要采取的最佳动作的策略(即,查询哪个源或保持空闲)。所获得的政策的性能进行了比较与积极的政策,不同的系统参数。我们确定了几种类型的最佳解决方案结构,并讨论了在系统中有一个备份的信息源的好处。
Data collected and transmitted by Internet of things (IoT) devices are typically used for control and monitoring purposes; and hence, their timely delivery is of utmost importance for the underlying applications. However, IoT devices operate with very limited energy sources, severely reducing their ability for timely collection and processing of status updates. IoT systems make up for these limitations by employing multiple low-power low-complexity devices that can monitor the same signal, possibly with different quality observations and different energy costs, to create diversity against the limitations of individual nodes. We investigate policies to minimize the average age of information (AoI) in a monitoring system that collects data from two sources of information denoted as primary and backup sources, respectively. We assume that each source offers a different trade-off between the AoI and the energy cost. The monitoring node is equipped with a finite size battery and harvests ambient energy. For this setup, we formulate the scheduling of status updates from the two sources as a Markov decision process (MDP), and obtain a policy that decides on the optimal action to take (i.e., which source to query or remain idle) depending on the current energy level and AoI. The performance of the obtained policy is compared with an aggressive policy for different system parameters. We identify few types of optimal solution structures and discuss the benefits of having a backup source of information in the system.
DOI: 10.1109/tit.2018.2871079
发表时间: 2019-03-01
影响因子: 2.5
作者:
Yates, Roy D.;Kaul, Sanjit K.
通讯作者: Kaul, Sanjit K.