The Age of Incorrect Information (AoII) is a metric that can combine the freshness of the information available to a gateway in an Internet of Things (IoT) network with the accuracy of that information. As such, minimizing the AoII can allow the operators of IoT systems to have a more precise and up-to-date picture of the environment in which the sensors are deployed. However, most IoT systems do not allow for centralized scheduling or explicit coordination, as sensors need to be extremely simple and consume as little power as possible. Finding a decentralized policy to minimize the AoII can be extremely challenging in this setting. This paper presents a heuristic to optimize AoII for a slotted ALOHA system, starting from a threshold-based policy and using dual methods to converge to a better solution. This method can significantly outperform state-independent policies, finding an efficient balance between frequent updates and a low number of packet collisions.
翻译：错误信息的时代(AoII)是一个衡量尺度,它可以将信息在互联网“物联网”网络网关上所能获得的新鲜信息与这些信息的准确性结合起来。因此,将AoII最小化可以使IoT系统的操作者对传感器部署环境有一个更准确和最新的了解。然而,大多数IoT系统都不允许集中安排或进行明确的协调,因为传感器需要极其简单,而且消耗的能量也越少。在这一背景下,找到将AoII最小化的分散化政策可能极具挑战性。 本文从基于门槛的政策开始,使用双重方法汇集到更好的解决方案中,对已排定档期的ALOHA系统优化AoII系统提出了一种超自然论。 这种方法大大超越了国家独立的政策,在频繁更新和少量的组合碰撞之间找到有效的平衡。
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