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The Efficient Mobile Management Based on Metaheuristic Algorithm for Internet of Vehicle.

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Summary
This summary is machine-generated.

This study introduces a new handover management mechanism for 5G networks, improving performance for the Internet of Vehicles (IoV). The proposed method enhances energy efficiency, load balancing, and reduces latency compared to traditional approaches.

Keywords:
IoVheuristic algorithmloading balancemobile management

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Area of Science:

  • Telecommunications Engineering
  • Computer Networks
  • Mobile Communication Systems

Background:

  • Fifth-generation (5G) mobile networks enable ultra-low latency and high reliability applications.
  • The Internet of Vehicles (IoV) is a critical application demanding robust communication for safety.
  • 5G's use of millimeter waves and complex infrastructure necessitates advanced handover management.

Purpose of the Study:

  • To address handover selection challenges in 5G networks for IoV applications.
  • To optimize network performance considering delay, energy efficiency, and load balancing.
  • To propose an effective mobile management mechanism for seamless vertical and horizontal handovers.

Main Methods:

  • Formulating handover selection as a multi-objective optimization (MOO) problem.
  • Developing a mobile management mechanism based on location prediction.
  • Integrating heuristic algorithms with location prediction for handover decisions.

Main Results:

  • The proposed mechanism outperforms distance-based methods in energy efficiency, load balancing, and latency.
  • Optimizations exceeding 20% were observed in key performance indicators.
  • Demonstrated effectiveness in managing complex 5G environments for IoV.

Conclusions:

  • The developed location-prediction-based handover mechanism significantly enhances 5G network performance for IoV.
  • The multi-objective optimization approach effectively balances competing network demands.
  • This research provides a viable solution for improving reliability and efficiency in critical IoV communications.