Minimizing Energy Consumption in Roadside Unit of Zigzag Distribution Based on RS-LS Technique

Hazem Noori Abdulrazzak, Nadia M.L. Tan, Nurul Asyikin Nurul

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

The dedicated vehicular ad-hoc network (VANET) is a communication model as vehicles can communicate with other vehicles directly or via fixed nodes called Roadside Units (RSU). It has become necessary to find supporting protocols for RSU to increase their efficiency, and thus increase the efficiency of the network. Since these nodes are distributed on the roads, it is important to find appropriate ways to distribute them to increase data transfer and reduce their energy consumption. In this paper, a zigzag distribution method is proposed and a mathematical model of Right Side-Left Side (RS-LS) is used to reduce the energy consumption of RSU and compare it with the main chain protocol. Two different cases were taken, Case-1-is for low density with 20 vehicles and Case-2-is for high density with 40 vehicles. The proposed method succeeded in saving energy and reduce the consumption in both cases, by 60% and 44%, respectively.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages169-173
Number of pages5
ISBN (Electronic)9781665403436
DOIs
Publication statusPublished - 26 Jun 2021
Externally publishedYes
Event2021 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2021 - Virtual, Shah Alam, Malaysia
Duration: 26 Jun 2021 → …

Publication series

Name2021 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2021 - Proceedings

Conference

Conference2021 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2021
Country/TerritoryMalaysia
CityVirtual, Shah Alam
Period26/06/21 → …

Keywords

  • Energy Consumption
  • RSU placement
  • V2I
  • VANET

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

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