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Fault Management for Self-Healing in Ubiquitous Sensor Network

机译:无处不在传感器网络中用于自愈的故障管理

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This work concerns the development of a fault model of sensor for detecting and isolating sensor, actuator, and various faults in USNs (Ubiquitous Sensor Network). USN are developed to create relationships between humans, objects and computers in various fields. A management research of sensor nodes is very important because the ubiquitous sensor network has the numerous sensor nodes. However, Self-healing technologies are insufficient to restore when an error event occurs in a sensor node in a USN environment. A layered healing architecture for each node layer (3-tier) is needed, because most sensor devices have different capacities in USN. In this paper, we design a fault model and architecture of the sensor and sensor node separately for self-healing in USN. In order to evaluate our approach, we implement prototype of the USN fault management system to evaluate our approach. We compare the resource use of self-healing components in the general distributed computing (wired network) and the USN.
机译:这项工作涉及传感器故障模型的开发,该模型用于检测和隔离传感器,执行器以及USN(泛在传感器网络)中的各种故障。 USN的开发旨在在各个领域的人,物体和计算机之间建立关系。传感器节点的管理研究非常重要,因为无处不在的传感器网络具有大量的传感器节点。但是,当USN环境中的传感器节点中发生错误事件时,自我修复技术不足以恢复。每个节点层(3层)都需要分层的恢复架构,因为大多数传感器设备在USN中具有不同的容量。在本文中,我们分别设计了传感器和传感器节点的故障模型和体系结构,以便在USN中进行自我修复。为了评估我们的方法,我们实现了USN故障管理系统的原型来评估我们的方法。我们比较了通用分布式计算(有线网络)和USN中自我修复组件的资源使用情况。

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