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Energy-Aware Management in Multi-UAV Deployments: Modelling and Strategies.

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Summary
This summary is machine-generated.

This study addresses Unmanned Aerial Vehicle (UAV) battery limitations for persistent aerial networks. A new heuristic algorithm, BETA, efficiently manages UAV replacements, ensuring continuous connectivity for ground users.

Keywords:
UAVUAV fleetUAV replacementUAV swarmalgorithmsenergy consumptionoptimizationself-organization

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Area of Science:

  • Computer Science
  • Network Engineering
  • Robotics

Background:

  • Unmanned Aerial Vehicles (UAVs) are increasingly used in civilian applications, including providing network services.
  • A key challenge for multi-UAV systems is the limited battery life of individual UAVs, restricting mission duration.
  • Maintaining continuous connectivity for ground users requires addressing the UAV battery life-time versus mission duration discrepancy.

Purpose of the Study:

  • To introduce and evaluate a UAV replacement procedure for sustained connectivity in multi-UAV aerial networks.
  • To address the NP-hard practical UAV replacement problem in moderately large UAV swarms.
  • To assess the effectiveness of heuristic approaches for solving the UAV replacement problem.

Main Methods:

  • Formulation of the practical UAV replacement problem.
  • Proposing the Betweenness Centrality Heuristic Algorithm (BETA), a graph theory-based approach.
  • Evaluating BETA's performance against optimal solutions and existing methods across various scenarios.

Main Results:

  • The UAV replacement problem is proven to be NP-hard, indicating exponential complexity for optimal solutions.
  • The proposed BETA algorithm generates solutions with high similarity (up to 99%) to the exact optimal results.
  • BETA demonstrates significant improvements over two ground-truth solutions, particularly in resource-constrained environments.

Conclusions:

  • Heuristic approaches, like BETA, are suitable for addressing the practical UAV replacement problem in multi-UAV systems.
  • BETA offers an efficient and effective method for managing UAV battery limitations and ensuring persistent network connectivity.
  • The algorithm shows promise for real-world applications requiring long-duration aerial network services.