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Sharing information, concepts, and emotions to foster mutual understanding is communication. The sender, recipient, and transaction must be considered in this manner. The sender is the person who shares the message, the recipient is the person who receives and understands the message, and the transaction is the method used to deliver the message and the variables that affect the communication's context and surroundings. The nurse-client connection is built on therapeutic communication.
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Related Experiment Video

Updated: Dec 9, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

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Optimization and Communication in UAV Networks.

Christelle Caillouet1,2, Nathalie Mitton1

  • 1Inria, 40 Avenue Halley, 59650 Villeneuve d'Ascq, France.

Sensors (Basel, Switzerland)
|September 9, 2020
PubMed
Summary
This summary is machine-generated.

Unmanned Aerial Vehicles (UAVs) are increasingly used in the Internet-of-Things (IoT). Optimizing UAV operations for efficiency in dynamic networks is crucial for diverse applications.

Keywords:
UAValgorithmscommunicationdronesoptimizationself-organizationswarmwireless

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Area of Science:

  • Exploration of Unmanned Aerial Vehicle (UAV) integration within the Internet-of-Things (IoT) ecosystem.
  • Analysis of UAVs as mobile, dynamic network components for data collection and service provision.
  • Investigation into the diverse applications and requirements driving UAV deployment in IoT.

Background:

  • UAVs are gaining traction for tasks like area mapping, surveillance, and data collection in IoT networks.
  • Current trends involve single or swarms of UAVs performing complex operations over wide regions.
  • UAVs face limitations due to their battery power, necessitating efficient mission and communication strategies.

Discussion:

  • UAVs integrated into IoT networks create mobile dynamic networks with ground sensors and other devices.
  • Wireless communication is key for UAVs to participate in these networks, presenting significant challenges.
  • The efficiency of UAVs in IoT is paramount, requiring careful consideration of their operational constraints.

Key Insights:

  • Every UAV application in IoT inherently involves an optimization problem.
  • Key optimization criteria include maximizing flight time, minimizing energy consumption, and managing data transfer.
  • Balancing mission objectives with flight and communication demands is essential for UAV effectiveness.

Outlook:

  • Future research should focus on advanced optimization techniques for UAVs in IoT.
  • Developing energy-efficient communication protocols and flight strategies is critical for sustained UAV operations.
  • Addressing the multifaceted optimization challenges will unlock the full potential of UAVs in diverse IoT applications.