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Peer-to-Peer Networking and Applications

, Volume 12, Issue 1, pp 269–279 | Cite as

MiFo: A novel edge network integration framework for fog computing

  • Desheng Wang
  • Wenting Ding
  • Xiaoqiang MaEmail author
  • Hongbo Jiang
  • Feng Wang
  • Jiangchuan Liu
Article
  • 171 Downloads

Abstract

Fog computing has been recently proposed to move certain cloud computing services down to edge networks especially for mobile applications, aiming at improving the throughput and delay through the collaboration of mobile devices at edge wireless networks. Yet, the current edge wireless networks are the bottleneck that prohibits mobile devices to efficiently share their resources, due to the lack of an efficient mechanism of coordinating heterogeneous wireless networks (e.g., LTE, WiFi, and WiMax) to better utilize the radio resources. In this paper, we propose MiFo, a novel hierarchical dual-layer edge network integration framework for fog computing. At the lower level, the Mist layer manages the baseband resources of homogeneous networks in a centralized way, which can enhance the transmission performance through physical layer cooperation among base stations. At the upper level, the Fog layer coordinates the heterogeneous network access and the resource scheduling. In MiFo, we also propose a multi-stream concurrent (MSC) transmission protocol, which can make full use of diverse wireless network resources and significantly improve the data transmission rate of multi-mode mobile devices. The proposed MSC transmission protocol can also achieve smart handover and improve the energy efficiency as well.

Keywords

Edge network Fog computing Heterogeneous wireless network 

Notes

Funding Information

This work was supported in part by the National Natural Science Foundation of China under Grant 61702204, Grant 61502192, and Grant 61502193, and in part by the Fundamental Research Funds for the Central Universities under Grant 2016YXMS293.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Electronic Information and CommunicationsHuazhong University of Science and TechnologyWuhanChina
  2. 2.College of Computer Science and Electronic EngineeringHunan UniversityChangshaChina
  3. 3.Department of Computer and Information ScienceThe University of MississippiOxfordUSA
  4. 4.College of Natural Resources and EnvironmentSouth China Agricultural UniversityGuangzhouChina

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