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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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A modified social spider algorithm for an efficient data dissemination in VANET.

Achyut Shankar1, Rajaguru Dayalan2, Chinmay Chakraborty3

  • 1Department of Computer Science and Engineering, ASET, Amity University, Noida, Uttar Pradesh India.

Environment, Development and Sustainability
|January 11, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel sampling-based estimation scheme (SES) to enhance vehicle communication networks. The SES improves routing and content transmission in vehicular ad hoc networks (VANETs) by analyzing probabilistic vehicle contacts.

Keywords:
ClusteringModified social spider algorithmQuality of serviceRoutingSampling-based estimation schemeVehicular ad hoc networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Transportation Engineering

Background:

  • Advancements in mobile communication enable ubiquitous information sharing, impacting lifestyles and industries.
  • The automotive industry is increasingly adopting communication technologies for safety, traffic management, and driver assistance.
  • Vehicular networks (VANETs) are gaining significant attention due to their potential to revolutionize road transport.

Purpose of the Study:

  • To propose a novel sampling-based estimation scheme (SES) for vehicle communication.
  • To enhance probabilistic contacts and optimize routing within vehicular networks.
  • To investigate content transmission strategies in VANETs using probabilistic models.

Main Methods:

  • Development of a sampling-based estimation scheme (SES) for vehicle communication.
  • Analysis of contact duration and probability between vehicles moving in same and opposite directions.
  • Application of a flow model with probabilistic capacities for content transmission.
  • Experimental validation of the SES performance in VANETs.

Main Results:

  • The proposed SES effectively increases probabilistic contacts in vehicle communication.
  • The scheme facilitates efficient routing by considering stochastic contact patterns.
  • Content transmission is effectively managed using probabilistic capacities.
  • Experimental results validate the performance of SES in VANETs.

Conclusions:

  • The novel sampling-based estimation scheme (SES) offers a robust solution for enhancing communication in vehicular networks.
  • SES improves routing efficiency and content transmission by leveraging probabilistic contact analysis.
  • The findings contribute to the advancement of intelligent transportation systems and connected vehicles.