Idea: A System for Efficient Failure Management in Smart IoT Environments
Idea: A System for Efficient Failure Management in Smart IoT Environments
复制标题
理念：智能物联网环境中的高效故障管理系统
DOI：
--
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
M. Srivatsa
中科院分区：
文献类型：
--
作者：
Palanivel A. Kodeswaran;Ravi Kokku;Sayandeep Sen;M. Srivatsa
物联网支持的智能环境预计将在不久的将来大幅增加，特别是在健康生活、患者医疗保健和老年人护理的监测服务方面。及时维护故障传感器在此类部署中至关重要，以确保对监测服务的干扰降到最低。然而，维护大型和地理上分散的部署可能是一个重大挑战。我们提出的想法大大增加了智能家居部署的维修前时间，从而减少了维护开销。具体来说，我们的方法利用了以下事实：(a)当传感器组合监测智能环境中的日常生活活动（adl）时，存在固有的传感器冗余，以及(b)每个传感器故障的影响取决于被监测的活动以及可用于检测活动的其余异构传感器提供的功能冗余。因此，Idea根据ADL检测性能的预期下降来识别需要修复的房屋，并相应地优化维护计划。我们证明，与不考虑其影响而修复故障传感器的方案相比，我们的方法可以减少3- 40倍的维护人员。
IoT enabled smart environments are expected to proliferate significantly in the near future, particularly in the context of monitoring services for wellness living, patient healthcare and elderly care. Timely maintenance of failed sensors is of critical importance in such deployments to ensure minimal disruption to monitoring services. However, maintenance of large and geographically spread deployments can be a significant challenge. We present Idea that significantly increases the vtime-before-repair for a smart home deployment, thereby reducing the maintenance overhead. Specifically, our approach leverages the facts that (a) there is inherent sensor redundancy when combinations of sensors monitor activities of daily living (ADLs) in smart environments, and (b) the impact of each sensor failure depends on the activities being monitored and the functional redundancy afforded by rest of the heterogeneous sensors available for detecting the activities. Consequently, Idea identifies homes that need to be fixed based on expected degradation in ADL detection performance, and optimizes maintenance scheduling accordingly. We demonstrate that our approach leads to 3--40 times fewer maintenance personnel than a scheme in which failed sensors are fixed without considering their impact.
DOI：
--
发表时间：
2015
期刊：
--
影响因子：
--
作者：
Prafulla N. Dawadi;D. Cook;M. Schmitter-Edgecombe
通讯作者：
Prafulla N. Dawadi;D. Cook;M. Schmitter-Edgecombe