Minimum Delay Allocation Strategy for Distribution Internet of Things

Xiang Wang, Zhiying Tang, Qingyang Liu, Kang Wang, Meiming Fu
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Abstract

Accelerated by the concept of the prominent Internet of things, various power line systems are envisioned to be integrated into wireless communication networks to enhance the quality of service of ubiquitous users. In order to improve the delay performance of these integrated networks, intensive computation tasks can be partly offloaded to the network edge and processed by edge devices. In this paper, we model a collaborated cloud and edge network consists of power line systems and wireless communications, considering the terrible transmission environment of offloading devices. Under the hierarchical offloading strategy proposed in this work, a joint delay optimization problem is formulated and solved with the constraints of network computation capability. Finally, numerical results demonstrate that the proposed scheme shows superiority to other benchmark schemes as regards to minimizing the delay of the end equipments.
分布式物联网最小时延分配策略
在物联网概念的推动下,各种电力线系统被设想融入无线通信网络,以提升无处不在的用户的服务质量。为了提高这些集成网络的延迟性能,可以将密集的计算任务部分卸载到网络边缘,由边缘设备处理。在本文中,我们模拟了一个由电力线系统和无线通信组成的协作云和边缘网络,考虑到卸载设备的恶劣传输环境。在本文提出的分层卸载策略下,提出了一个联合时延优化问题,并在网络计算能力约束下进行了求解。最后,数值结果表明,该方案在最小化终端设备时延方面优于其他基准方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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