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

Authors: Changming Zhao; Mingdong Li; Tiejun Wang; Hao Yang

Addresses: School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China ' Wuhan GreeNet Information Service Co., Ltd, Beijing, 100089, China ' School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China ' School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China

Abstract: 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.

Keywords: parallel computing; edge computing; mobile offloading; fast fading; track prediction; computing-communication integration.

DOI: 10.1504/IJSNET.2021.114744

International Journal of Sensor Networks, 2021 Vol.35 No.4, pp.230 - 242

Received: 24 Apr 2020
Accepted: 08 Aug 2020

Published online: 22 Apr 2021 *

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