On Maximizing Quality of Information for the Internet of Things: A Real-Time Scheduling Perspective (Invited Paper)
On Maximizing Quality of Information for the Internet of Things: A Real-Time Scheduling Perspective (Invited Paper)
复制标题
DOI：
10.1109/rtcsa.2016.47
复制
发表时间：
2016-08
期刊：
影响因子：
--
通讯作者：
Jung-Eun Kim;T. Abdelzaher;L. Sha;A. Bar-Noy;Reginald L. Hobbs;William Dron
中科院分区：
文献类型：
--
作者：
Jung-Eun Kim;T. Abdelzaher;L. Sha;A. Bar-Noy;Reginald L. Hobbs;William Dron
本文认为，最大限度地提高收集到的信息的质量，以满足实时物联网应用的决策需求的挑战。提出了一种新的调度模型，其中应用程序需要多个数据项来做出决策，并且可以以不同的质量级别捕获单个数据项。我们假设存在一个单一的瓶颈，数据对象被收集和调度这些对象的传输在瓶颈，以满足决策的最后期限和数据有效性的限制，同时最大限度地提高质量。提出了一系列的启发式算法来解决这个问题。他们的表现进行了经验比较，从而深入了解解决方案空间。
The paper considers the challenge of maximizing the quality of information collected to meet decision needs of real-time Internet-of-Things applications. A novel scheduling model is proposed, where applications need multiple data items to make decisions, and where individual data items can be captured at different levels of quality. We assume the existence of a single bottleneck over which data objects are collected and schedule the transmission of these objects over the bottleneck to meet decision deadlines and data validity constraints, while maximizing quality. A family of heuristic algorithms is presented to solve this problem. Their performance is empirically compared leading to insights into the solution space.