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端到端通信中基于时间转换能量采集的计算迁移方案
引用本文:冬欣松,郑建超,蔡跃明,尹廷辉,张潇毅. 端到端通信中基于时间转换能量采集的计算迁移方案[J]. 计算机应用, 2018, 38(12): 3535-3540. DOI: 10.11772/j.issn.1001-9081.2018051171
作者姓名:冬欣松  郑建超  蔡跃明  尹廷辉  张潇毅
作者单位:1. 中国人民解放军陆军工程大学 通信工程学院, 南京 210000;2. 国防科技创新研究院 人工智能中心, 北京 100010
基金项目:国家博士后创新人才支持计划项目(BX201700109);江苏省青年基金资助项目(BK20170755)。
摘    要:在端到端(D2D)通信网络中,为提高移动云计算的有效性,提出了一种基于时间转换能量采集的计算迁移方案。首先,一个流量受限的智能移动终端把其需要迁移的计算任务通过D2D通信以射频信号的形式发送给一个能量受限的智能移动终端,后者利用时间转换方案对接收信号进行能量采集。然后,能量受限终端会为流量受限终端中继任务到云端服务器付出额外的流量消耗。最后,所提的方案被建模为一个最小化终端能量与流量消耗的非凸优化问题,通过优化能量受限终端的时间转换因子、采集能量分配因子以及流量受限终端的传输功率,最终获得了最优方案。仿真结果表明,相比于非协作方案,所提方案通过互惠协作进行计算迁移能有效地减少终端的匮乏资源开销。

关 键 词:移动云计算  计算迁移  端到端通信  射频能量采集  时间转换方案  
收稿时间:2018-06-08
修稿时间:2018-07-16

Computation offloading scheme based on time switch policy for energy harvesting in device-to-device communication
DONG Xinsong,ZHENG Jianchao,CAI Yueming,YIN Tinghui,ZHANG Xiaoyi. Computation offloading scheme based on time switch policy for energy harvesting in device-to-device communication[J]. Journal of Computer Applications, 2018, 38(12): 3535-3540. DOI: 10.11772/j.issn.1001-9081.2018051171
Authors:DONG Xinsong  ZHENG Jianchao  CAI Yueming  YIN Tinghui  ZHANG Xiaoyi
Affiliation:1. College of Communications Engineering, Army Engineering University of PLA, Jiangsu Nanjing 210000, China;2. Artificial Intelligence Research Center, National Innovation Institute of Defense Technology, Beijing 100010, China
Abstract:In order to improve the effectiveness of mobile cloud computing in Device-to-Device (D2D) communication network, a computation offloading scheme based on the time switch policy for energy harvesting was proposed. Firstly, the computational tasks needed to be migrated of a traffic-limited smart mobile terminal were sent to an energy-limited smart mobile terminal in the form of Radio-Frequency (RF) signals through D2D communication, and the time switch policy was used by the energy-limited smart mobile terminal for the energy harvesting of received signals. Then, the extra traffic consumption was paid by the energy-limited terminal for the relay tasks of traffic-limited terminal to the cloud server. Finally, the proposed scheme was modeled as a non-convex optimization problem for minimizing terminal energy and traffic consumption, and the optimal scheme was obtained by optimizing the time switch factor and the harvest energy allocation factor of the energy-limited terminal, and the transmission power of the traffic-limited terminal. The simulation results show that, compared with non-cooperative scheme, the proposed scheme can effectively reduce the terminal's limited resource overhead by the computation offloading through reciprocal cooperation.
Keywords:mobile cloud computing  computation offloading  Device-to-Device (D2D) communication  Radio-Frequency (RF) energy harvesting  time switch policy  
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