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Communication between two animals occurs when one animal transmits an information signal that causes a change in the animal that receives the information. Organisms communicate with one another in a host of different ways. Signals can be auditory, chemical, visual, tactile, or a combination of these. Communication is a critical behavioral adaptation that promotes survival, growth, and reproduction.
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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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When a wave propagates from one medium to another, part of it may get reflected in the first medium, and part of it may get transmitted to the second medium. In such a case, the interface of the two mediums can be considered as a boundary that is neither fixed nor free.
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Deterministic Propagation Modeling for Intelligent Vehicle Communication in Smart Cities.

Fausto Granda1,2, Leyre Azpilicueta3, Cesar Vargas-Rosales4

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Summary
This summary is machine-generated.

This study uses a 3D ray-launching algorithm to analyze urban radio propagation for vehicular ad hoc networks (VANETs). Findings reveal how factors like distance, speed, and obstacles impact intelligent vehicle communications and network performance.

Keywords:
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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Transportation Engineering

Background:

  • Vehicular Ad Hoc Networks (VANETs) are crucial for Smart Cities and Intelligent Transportation Systems (ITS), enabling applications like pollution reduction and accident prevention.
  • Existing research on Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) communication radio channel characterization lacks a deterministic approach for urban environments.
  • Accurate understanding of urban radio propagation phenomena requires complementary deterministic models alongside theoretical and empirical ones.

Purpose of the Study:

  • To develop and utilize a deterministic computational tool for analyzing urban radio propagation in VANETs.
  • To investigate the effects of vehicle movement on multipath components in V2I and V2V communications.
  • To evaluate network parameters like throughput, packet loss, and jitter under various urban radio propagation conditions.

Main Methods:

  • Implementation of an in-house 3D Ray-Launching algorithm to model large-scale and small-scale urban radio propagation.
  • Analysis of radio propagation phenomena, incorporating the impact of vehicle movement on multipath components.
  • Conducting experimental measurements for V2I and V2V links to obtain network parameters.

Main Results:

  • The study quantifies the impact of key factors including distance, frequency, transmitter (TX) antenna location, obstacles, and vehicle speed on radio propagation.
  • Vehicle movement significantly affects multipath components, influencing communication channel characteristics.
  • Experimental data validates the simulation results, providing insights into network performance metrics.

Conclusions:

  • Deterministic modeling using 3D ray-launching provides a more accurate understanding of urban radio propagation for VANETs.
  • The findings are essential for effective radio-planning and the deployment of Wireless Sensor Networks (WSNs) and urban Road Side Units (RSUs).
  • Optimizing V2I and V2V communication requires careful consideration of environmental and dynamic factors affecting radio wave propagation.