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Updated: Jul 19, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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Unmanned Aerial Vehicle Assisted Post-Disaster Communication Coverage Optimization Based on Internet of Things Big

Biao Yang1, Xuanrui Xiong1, He Liu1

  • 1School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

Sensors (Basel, Switzerland)
|August 12, 2023
PubMed
Summary

This study introduces a UAV-assisted strategy using IoT big data analytics for post-disaster communication. It optimizes drone paths for energy-efficient communication coverage, improving rescue efforts.

Keywords:
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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Telecommunications

Background:

  • Internet of Things (IoT) devices offer convenience but are vulnerable during emergencies.
  • Infrastructure destruction in disasters causes communication disruptions, hindering rescue operations.
  • Unmanned Aerial Vehicles (UAVs) and big data analytics offer potential solutions for resilient communication.

Purpose of the Study:

  • To propose a UAV-assisted communication coverage strategy leveraging IoT big data analytics for post-disaster scenarios.
  • To address challenges in information dissemination and support rescue operations.
  • To develop an energy-efficient communication coverage solution for complex user distributions.

Main Methods:

  • Utilizing IoT big data analytics for real-time communication demand prediction and network optimization.
  • Employing UAVs in a cruising manner to provide communication assistance by partitioning areas into cells.
  • Developing the Inner Spiral Cruise Communication Coverage (IS-CCC) algorithm to optimize UAV trajectory based on coverage, fairness, and energy efficiency.

Main Results:

  • The proposed strategy effectively partitions areas to meet minimum data requirements for user communication.
  • Selective use of flight-communication or hover-communication protocols based on user distribution.
  • Simulation results confirm energy-efficient cruising communication coverage, reducing UAV energy consumption.

Conclusions:

  • The UAV-assisted strategy provides a viable solution for post-disaster communication reconstruction.
  • The IS-CCC algorithm enables efficient UAV deployment for communication coverage in complex environments.
  • This approach enhances communication resilience and reduces operational energy costs during emergencies.