An IoT-Oriented Offloading Method with Privacy Preservation for Cloudlet-Enabled Wireless Metropolitan Area Networks.

Zhanyang Xu,Xiaolong Xu,Xuyun Zhang,Renhao Gu,Tao Huang,Haolong Xiang,Lianyong Qi

doi:10.3390/s18093030

Abstract

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.

Highlights

We focus on the Internet of Things (IoT)-oriented data offloading with privacy preservation for the cloudlet-enabled Wireless Metropolitan Area Networks (WMANs)
An IoT-oriented offloading method with privacy preservation is proposed in this paper to optimize the transmission time, the energy consumption and the resource utilization when considering data privacy preservation
Environment, an IoT-oriented offloading method with privacy preservation is proposed in this paper to optimize the transmission time, the energy consumption and the resource utilization

Summary

Introduction

A Wireless Metropolitan Area Network (WMAN) is a kind of mobile broadband wireless network, launched as a computer communication network within a city, which provides users with more convenient wireless services [1]. Metropolitan areas have high-density populations, where there are intensive data produced by the mobile devices in people’s daily lives. Mobile cloud computing provides a novel paradigm that allows the computing tasks and the data from the mobile devices to be offloaded to the remote cloud for processing and storage through access points (APs) in the WMAN [2]. With the increasing number of mobile devices and the rapid growth of mobile cloud computing. The rapid development of mobile and network technologies has resulted in the emergence of various intelligent mobile devices, including smartphones, tablets, Kindles, and so on [4]. The mobile devices have fewer communication and computing resources compared with the desktop computers

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Methods

Conclusion