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Related Experiment Video

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FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis
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A Mobility Management Using Follow-Me Cloud-Cloudlet in Fog-Computing-Based RANs for Smart Cities.

Yuh-Shyan Chen1, Yi-Ting Tsai2

  • 1Department of Computer Science and Information Engineering, National Taipei University, No. 151, University Rd., San Shia District, New Taipei City 23741, Taiwan. yschen@mail.ntpu.edu.tw.

Sensors (Basel, Switzerland)
|February 9, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a novel Follow-Me Cloud-Cloudlet (FMCL) approach for smart city mobility management. FMCL reduces data transmission latency by integrating virtual machine migration between cloudlets and service migration between data centers.

Keywords:
edge/fog computingfog-computing-based RANfollow-me edgemobility managementsmart city

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Area of Science:

  • * Computer Science
  • * Networking
  • * Smart Cities

Background:

  • * Mobility management is crucial for smart city location-based services (LBS) and transportation.
  • * Existing Follow-Me Cloud (FMC) and Follow-Me Edge (FME) approaches have limitations in reducing transmission latency.
  • * Fog-computing-based radio access networks (Fog-RANs) offer potential for enhanced mobility management.

Purpose of the Study:

  • * To propose a new mobility management approach, Follow-Me Cloud-Cloudlet (FMCL), for smart cities.
  • * To reduce transmission latency by enabling simultaneous virtual machine (VM) migration between cloudlets and service migration between data centers.
  • * To improve the efficiency of location tracking and LBS in smart city environments.

Main Methods:

  • * Integration of Follow-Me Cloud (FMC) and Follow-Me Edge (FME) concepts into the FMCL approach.
  • * User Equipment (UE) receives data from the original cloud to the edge cloud before handover.
  • * Post-handover, UE connects to a migrated cloud and migrated edge cloud for remaining data.
  • * Pre-scheduling and pre-storing data packets in cloudlet cache to minimize transmission time during Fog-RAN switching.

Main Results:

  • * FMCL significantly reduces total transmission time compared to existing methods.
  • * Achieved improvements in throughput and reduction in the probability of packet loss.
  • * Demonstrated effectiveness in minimizing control messages during mobility events.
  • * Mathematical analysis and simulations validated the performance enhancements.

Conclusions:

  • * The proposed FMCL approach effectively reduces transmission latency in Fog-RANs for smart cities.
  • * FMCL enhances the performance of location-based services and mobility management.
  • * This integrated strategy offers a promising solution for future smart city infrastructure.