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A Fog Computing-Based Device-Driven Mobility Management Scheme for 5G Networks.

Sanjay Kumar Biswash1,2, Dushantha Nalin K Jayakody1,3

  • 1School of Computer Science and Robotics, National Research Tomsk Polytechnic University, 634050 Tomsk, Russia.

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Summary
This summary is machine-generated.

Fog computing enhances cellular networks by reducing data overhead and improving scalability for real-time applications. This new framework offers lower energy consumption, delay, and signaling costs compared to legacy systems.

Keywords:
5G networksdata-centric networkingdevice-driven communicationsfog networks

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Area of Science:

  • Computer Science
  • Telecommunications Engineering

Background:

  • Modern cellular networks face challenges with high data rates and scalability.
  • Fog computing offers a distributed framework to process data closer to the source, complementing cloud infrastructure.

Purpose of the Study:

  • To explore the potential of fog computing orchestration for next-generation cellular systems.
  • To design a fog computing framework supporting device-driven communication for improved Quality of Service (QoS) and Quality of Experience (QoE).

Main Methods:

  • Proposed a novel fog computing framework architecture for device-driven networks.
  • Developed a mobility management procedure for fog networks, considering static and dynamic nodes.
  • Compared performance metrics against legacy LTE/LTE-A networks.

Main Results:

  • The fog computing framework effectively reduces data management overheads and network scalability challenges.
  • The proposed mobility management procedure supports pervasive computation for real-time applications.
  • Achieved significantly lower energy consumption, delay, latency, and signaling cost compared to LTE/LTE-A.

Conclusions:

  • Fog computing presents a viable solution for enhancing 5G and future cellular communication systems.
  • The proposed framework and mobility management improve network efficiency and user experience.
  • This approach offers a promising alternative to traditional cellular network architectures for performance gains.