Mobile Edge Computing and Networking for Green and Low-Latency Internet of Things
Mobile Edge Computing and Networking for Green and Low-Latency Internet of Things
复制标题
DOI：
10.1109/mcom.2018.1700882
复制
发表时间：
2018-05-01
影响因子：
11.2
通讯作者：
Zhang, Yan
中科院分区：
文献类型：
--
作者：
Zhang, Ke;Leng, Supeng;Zhang, Yan
物联网是智能设备的异构互联，是开发新型移动的应用的绝佳平台。然而，资源受限的智能设备往往成为充分实现这些发展的瓶颈，特别是在面向密集计算和低延迟要求的应用方面。MEC是应对这些挑战的一种有前途的方法。在本文中，我们将重点关注物联网的MEC应用，并从最终用户体验的角度解决此类应用的能效和卸载性能。在这方面，我们提出了一个移动性感知的分层MEC框架的绿色和低延迟物联网。我们部署了一个博弈论的方法来计算卸载，以优化服务提供商的效用，同时也降低了能源成本和智能设备的任务执行时间。数值结果表明，所提出的方案确实带来了显着提高能源效率和延迟性能的MEC应用物联网。
IoT, a heterogeneous interconnection of smart devices, is a great platform to develop novel mobile applications. Resource constrained smart devices, however, often become the bottlenecks to fully realize such developments, especially when it comes to intensive-computation-oriented and low-latency-demanding applications. MEC is a promising approach to address such challenges. In this article, we focus on MEC applications for IoT, and address energy efficiency as well as offloading performance of such applications in terms of end-user experience. In this regard, we present a mobility-aware hierarchical MEC framework for green arid low-latency IoT. We deploy a game theoretic approach for computation offloading in order to optimize the utility of the service providers while also reducing the energy cost and the task execution time of the smart devices. Numerical results indicate that the proposed scheme does brings significant enhancement in both energy efficiency and latency performance of MEC applications for IoT.