Incentive Propagation Mechanism of Computation Offloading in Fog-enabled D2D Networks

被引：0
作者：
Yang, Liu [1 ,2 ,3 ]
Zhu, Hongbin [1 ,2 ,3 ]
Wang, Haifeng [1 ]
Qian, Hua [3 ,4 ]
Yang, Yang [1 ,2 ,3 ]
机构：
[1] Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, Shanghai, Peoples R China
[2] Shanghai Inst Fog Comp Technol, Shanghai, Peoples R China
[3] ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China
[4] Chinese Acad Sci, Shanghai Adv Res Inst, Shanghai, Peoples R China
来源：
2018 IEEE 23RD INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP) | 2018年
基金：
中国国家自然科学基金;
关键词：
Fog computing; D2D networks; computation offloading; mechanism design; game theory;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Fog computing is a promising technology to provide economical and low latency data services, where devices can offload their intensive computation tasks to other devices which have idle computation resources. However, devices can only execute task offloading within their neighbors in conventional computation offloading schemes, which are not efficient for the whole network. We propose an incentive propagation mechanism ([PM) in fog-enabled device-to-device (D2D) networks, which incentivizes devices to not only truthfully report their charge price on the computation task, but also further propagate the task information to other devices. The proposed algorithm achieves more efficient computation offloading of the entire fog network. Simulation results validate its effectiveness.
引用
收藏
页数：4
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