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Contact-dependent Signaling01:19

Contact-dependent Signaling

Contact-dependent signaling, as the name suggests, requires that communicating cells be in direct contact with each other. This is achieved either through receptor-ligand interactions or by specialized cytoplasmic channels that allow the flow of small molecules between cells. In animal cells, channels called gap junctions facilitate contact-dependent signaling in certain tissues, whereas, plasmodesmata perform a similar function in plants.
Gap Junctions
In animal cells, gap junctions are formed...

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How I Met Your V2X Sensor Data: Analysis of Projection-Based Light Field Visualization for Vehicle-to-Everything Communication Protocols and Use Cases.

Sensors (Basel, Switzerland)·2023
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Updated: Jul 28, 2026

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
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Implementation of MEC-Assisted Collective Perception in an Integrated Artery/Simu5G Simulation Framework.

Gergely Attila Kovács1,2, László Bokor1,2

  • 1Department of Networked Systems and Services, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary.

Sensors (Basel, Switzerland)
|September 28, 2023
PubMed
Summary

This study integrates 5G network simulation with V2X simulation to test advanced cooperative perception applications. Results show Multi-access Edge Computing (MEC) can effectively support V2X safety services.

Keywords:
5G/6GSimu5G/Artery/OMNeT++ simulationsV2X/C-V2Xcollective perceptionmulti-access edge computing

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Area of Science:

  • Telecommunications Engineering
  • Intelligent Transportation Systems
  • Computer Networking

Background:

  • Advanced vehicle-to-everything (V2X) safety applications demand ultra-low latency and high reliability.
  • Cooperative V2X applications like Collective Perception (CP) generate substantial data flow, requiring robust technological support.
  • The 5G core architecture introduces enabling technologies such as Multi-access Edge Computing (MEC).

Purpose of the Study:

  • To propose an integrated simulation framework combining 5G network elements with V2X simulators.
  • To evaluate the performance of MEC in supporting V2X cooperative applications.
  • To demonstrate the feasibility of MEC-assisted Collective Perception (CP) services.

Main Methods:

  • Integration of Simu5G (5G network simulator) and Artery (V2X simulator).
  • Development of an extension to Simu5G for edge implementation to dispatch Collective Perception Messages (CPMs).
  • Simulation of MEC server processing of incoming data from vehicles via 5G connectivity.

Main Results:

  • The integrated simulation framework successfully demonstrated the operability of the system.
  • Edge computing, specifically MEC, shows significant potential in assisting V2X scenarios.
  • The proposed edge application effectively dispatches CPMs for MEC processing.

Conclusions:

  • The combined simulation framework is a viable tool for testing advanced V2X applications.
  • MEC integration is a promising approach for enhancing the performance of V2X safety services.
  • Further development of MEC-assisted CP services is warranted based on these findings.