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SFSH: a novel smart factory SDN-layer handoff scheme in 5G-enabled mobile networks

  • Sungkyunkwan University

Research output: Contribution to journal › Article › peer-review

Abstract

A smart factory network integrates various wireless networks to provide administrators with advanced factory network management capabilities and optimized services. Supporting smooth handoff management is an important issue in network architecture. Existing handoff management protocols are not sufficient to ensure handoff support in smart factories. This work was conducted to achieve the agility required by the smart factory network. The Smart Factory SDN-layer Handoff (SFSH) technique is proposed to guarantee Quality of Service (QoS) by supporting efficient handoff of devices in a smart factory. We proposes the SDN framework called SFSH for smart factory and a handover algorithm considering and the Received Signal Strength (RSS) and speed for SFSH. Through simple simulation, the SDN framework can flexibly cope with the conditions required by the smart factory, and it can be seen that the performance of SFSH considering RSS is improved over the existing handover process. SFSH uses the location and handoff signaling-delay information of devices in the factory to support mobility management and improve handoff performance in a wireless network environment. The sensitivity of the link layer and network layer is analyzed for handoff performance. Theoretical analysis shows that SFSH works better performance than other solutions.

Original languageEnglish
Pages (from-to)5913-5925
Number of pages13
JournalJournal of Ambient Intelligence and Humanized Computing
Volume11
Issue number12
DOIs
StatePublished - Dec 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • 5G mobile network
  • Cross layer handoff
  • Industrial networks
  • Smart factory networking
  • Software defined networks

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