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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >An IoT-Oriented Offloading Method with Privacy Preservation for Cloudlet-Enabled Wireless Metropolitan Area Networks
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An IoT-Oriented Offloading Method with Privacy Preservation for Cloudlet-Enabled Wireless Metropolitan Area Networks

机译：启用了Cloudlet的无线城域网的面向物联网的具有隐私保护的卸载方法

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摘要

With the development of the Internet of Things (IoT) technology, a vast amount of the IoT data is generated by mobile applications from mobile devices. Cloudlets provide a paradigm that allows the mobile applications and the generated IoT data to be offloaded from the mobile devices to the cloudlets for processing and storage through the access points (APs) in the Wireless Metropolitan Area Networks (WMANs). Since most of the IoT data is relevant to personal privacy, it is necessary to pay attention to data transmission security. However, it is still a challenge to realize the goal of optimizing the data transmission time, energy consumption and resource utilization with the privacy preservation considered for the cloudlet-enabled WMAN. In this paper, an IoT-oriented offloading method, named IOM, with privacy preservation is proposed to solve this problem. The task-offloading strategy with privacy preservation in WMANs is analyzed and modeled as a constrained multi-objective optimization problem. Then, the Dijkstra algorithm is employed to evaluate the shortest path between APs in WMANs, and the nondominated sorting differential evolution algorithm (NSDE) is adopted to optimize the proposed multi-objective problem. Finally, the experimental results demonstrate that the proposed method is both effective and efficient.
机译：随着物联网（IoT）技术的发展，移动应用程序从移动设备生成了大量的IoT数据。 Cloudlets提供了一种范例，允许移动应用程序和生成的IoT数据从移动设备转移到cloudlets，以通过无线城域网（WMAN）中的访问点（AP）进行处理和存储。由于大多数物联网数据都与个人隐私有关，因此有必要注意数据传输的安全性。然而，实现具有启用云的WMAN的隐私保护来优化数据传输时间，能耗和资源利用率的目标仍然是一个挑战。为了解决这个问题，本文提出了一种具有隐私保护的面向物联网的卸载方法，称为IOM。将WMAN中具有隐私保护功能的任务分担策略进行了分析，并建模为一个受约束的多目标优化问题。然后，采用Dijkstra算法评估WMAN中AP之间的最短路径，并采用非支配排序差分进化算法（NSDE）来优化所提出的多目标问题。最后，实验结果表明该方法是有效的。

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