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Genetic Algorithm-Based Cooperative Coding and Caching Data Dissemination Scheme in Multi-UAV-Enabled Internet of

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This study introduces a coding-based cooperative broadcast scheduling (C2BS) algorithm to improve bandwidth efficiency for Unmanned Aerial Vehicles (UAVs) in Internet of Vehicles (IoV) systems, reducing energy consumption during data dissemination.

Keywords:
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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Unmanned Aerial Vehicles (UAVs) are crucial for data dissemination in disaster areas, but limited energy restricts their operational lifespan.
  • Efficient data dissemination is vital for post-disaster rescue operations, yet UAV energy constraints pose significant challenges.
  • Optimizing bandwidth efficiency in multi-UAV systems is key to reducing energy consumption and enhancing overall performance.

Purpose of the Study:

  • To investigate a novel data dissemination scheme for multi-UAV-enabled Internet of Vehicles (IoV).
  • To enhance UAV bandwidth efficiency and reduce energy consumption through optimized data dissemination strategies.
  • To address the Coding-based Cooperative Broadcast Scheduling (C2BS) problem by leveraging coding and caching.

Main Methods:

  • A software-defined network-based framework for data dissemination in multi-UAV-enabled IoV was developed.
  • The C2BS problem was formulated and its NP-hardness demonstrated using polynomial time reduction.
  • A Genetic algorithm-based Cooperative Scheduling (GCS) algorithm was proposed, incorporating coding schemes, fitness functions, and genetic operators.

Main Results:

  • The C2BS problem was proven to be NP-hard.
  • The proposed Genetic algorithm-based Cooperative Scheduling (GCS) algorithm effectively addresses the C2BS problem.
  • Simulation results validated the superior performance of the proposed data dissemination scheme.

Conclusions:

  • The developed GCS algorithm offers an effective solution for optimizing bandwidth efficiency in UAV-enabled IoV systems.
  • The proposed scheme significantly reduces UAV energy consumption, enhancing system performance for data dissemination.
  • This research contributes to more efficient and sustainable UAV operations in disaster response and IoV applications.