A novel offloading strategy for high speed mobile and data intensive intelligent sensor

被引:0
|
作者
Zhao, Changming [1 ]
Li, Mingdong [2 ]
Wang, Tiejun [1 ]
Yang, Hao [1 ]
机构
[1] Chengdu Univ Informat Technol, Sch Comp Sci, Chengdu 610225, Peoples R China
[2] Wuhan GreeNet Informat Serv Co Ltd, Beijing 100089, Peoples R China
基金
中国博士后科学基金;
关键词
parallel computing; edge computing; mobile offloading; fast fading; track prediction; computing-communication integration; RESOURCE-ALLOCATION; CLOUD;
D O I
10.1504/IJSNET.2021.114744
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the paper, it proposes a novel offloading computing strategy for the mobile intelligent sensors in the high speed mobile scene. At present, the local computing resources are not able to afford the computing demand for the data intensive intelligent sensors. The current offloading computing mechanism are not capable of offloading computing in high speed scene. In general, it may cause extremely serious delay by the handover delay and the wireless channel fading. In the paper, the proposed novel strategy is named asynchronous parallel offloading computing strategy (APOCS). It makes use of one type of spatial computing diversity method to restrain the wireless channel fading. The simulation results show that it is able to reduce the offloading delay in the high speed moving scene effectively.
引用
收藏
页码:230 / 242
页数:13
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