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Sensors 2018, 18(9), 3030; https://doi.org/10.3390/s18093030

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

1
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China
2
Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing 210044, China
3
School of Computer Science and Technology, Silicon Lake College, Suzhou 215332, China
4
Department of Electrical and Computer Engineering, University of Auckland, Auckland 1023, New Zealand
5
School of Information Science and Engineering, Qufu Normal University, Rizhao 276826, China
*
Authors to whom correspondence should be addressed.
Received: 16 August 2018 / Revised: 7 September 2018 / Accepted: 9 September 2018 / Published: 10 September 2018
(This article belongs to the Special Issue Exploiting the IoT within Cyber Physical Social System)
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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. View Full-Text
Keywords: IoT data; cloudlet; WMAN environment; privacy preservation IoT data; cloudlet; WMAN environment; privacy preservation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Xu, Z.; Gu, R.; Huang, T.; Xiang, H.; Zhang, X.; Qi, L.; Xu, X. An IoT-Oriented Offloading Method with Privacy Preservation for Cloudlet-Enabled Wireless Metropolitan Area Networks. Sensors 2018, 18, 3030.

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