机会雾增强物联网架构中的容错数据卸载

IF 0.6 Q4 COMPUTER SCIENCE, THEORY & METHODS
Parmeet Kaur
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引用次数: 2

摘要

物联网(IoT)的特点是大量的数据收集。由于物联网设备本身资源有限,因此这些数据被传输到基于云的系统进行进一步处理。在一段时间内收集的数据具有很高的实用性,因为它对多种分析、预测和规定任务很有用。因此,物联网设备在耗尽存储之前将收集到的数据传输到网络网关以防止数据丢失至关重要;这个问题被称为“数据卸载问题”。本文提出了一种由物联网设备进行数据容错卸载的技术,使它们收集的数据以最小的损失传输到云端。所提出的技术利用物联网和移动雾节点之间的机会性接触,为物联网架构提供容错性增强。通过仿真实验验证了所提方法的有效性,评估了采用所提数据卸载方案减少数据丢失的效果。结果表明,该方法优于目前最先进的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault tolerant data offloading in opportunistic fog enhanced IoT architecture
Internet of Things (IoT) is characterized by the large volumes of data collection. Since IoT devices are themselves resource-constrained, this data is transferred to cloud-based systems for further processing. This data collected over a period of time possesses high utility as it is useful for multiple analytical, predictive and prescriptive tasks. Therefore, it is crucial that IoT devices transfer the collected data to network gateways before exhausting their storage to prevent loss of data; this issue is referred to as the “data offloading problem”. This paper proposes a technique for fault tolerant offloading of data by IoT devices such that the data collected by them is transferred to the cloud with a minimal loss. The proposed technique employs opportunistic contacts between IoT and mobile fog nodes to provide a fault tolerant enhancement to the IoT architecture. The effectiveness of the proposed method is verified through simulation experiments to assess the reduction in data loss by use of proposed data offloading scheme. It is demonstrated that the method outperforms a state-of-art method.
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来源期刊
Multiagent and Grid Systems
Multiagent and Grid Systems COMPUTER SCIENCE, THEORY & METHODS-
CiteScore
1.50
自引率
0.00%
发文量
13
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