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

Automation; Data transfer; Energy utilization; Intelligent systems; Process control; Roadsides; Vehicles; Communication modeling; Fixed nodes; Low density; Main chains; Minimizing energy; Roadside units; Saving energy; Vehicular ad hoc networks

Saved in:
Bibliographic Details
Main Authors: Abdulrazzak H.N., Tan N.M.L., Mohd. Radzi N.A.
Other Authors: 57210449807
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-26133
record_format dspace
spelling my.uniten.dspace-261332023-05-29T17:07:04Z Minimizing Energy Consumption in Roadside Unit of Zigzag Distribution Based on RS-LS Technique Abdulrazzak H.N. Tan N.M.L. Mohd. Radzi N.A. 57210449807 24537965000 57218936786 Automation; Data transfer; Energy utilization; Intelligent systems; Process control; Roadsides; Vehicles; Communication modeling; Fixed nodes; Low density; Main chains; Minimizing energy; Roadside units; Saving energy; Vehicular ad hoc networks 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. � 2021 IEEE. Final 2023-05-29T09:07:04Z 2023-05-29T09:07:04Z 2021 Conference Paper 10.1109/I2CACIS52118.2021.9495853 2-s2.0-85112570534 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112570534&doi=10.1109%2fI2CACIS52118.2021.9495853&partnerID=40&md5=ac47954cd564b23cc3702e848ec11323 https://irepository.uniten.edu.my/handle/123456789/26133 9495853 169 173 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Automation; Data transfer; Energy utilization; Intelligent systems; Process control; Roadsides; Vehicles; Communication modeling; Fixed nodes; Low density; Main chains; Minimizing energy; Roadside units; Saving energy; Vehicular ad hoc networks
author2 57210449807
author_facet 57210449807
Abdulrazzak H.N.
Tan N.M.L.
Mohd. Radzi N.A.
format Conference Paper
author Abdulrazzak H.N.
Tan N.M.L.
Mohd. Radzi N.A.
spellingShingle Abdulrazzak H.N.
Tan N.M.L.
Mohd. Radzi N.A.
Minimizing Energy Consumption in Roadside Unit of Zigzag Distribution Based on RS-LS Technique
author_sort Abdulrazzak H.N.
title Minimizing Energy Consumption in Roadside Unit of Zigzag Distribution Based on RS-LS Technique
title_short Minimizing Energy Consumption in Roadside Unit of Zigzag Distribution Based on RS-LS Technique
title_full Minimizing Energy Consumption in Roadside Unit of Zigzag Distribution Based on RS-LS Technique
title_fullStr Minimizing Energy Consumption in Roadside Unit of Zigzag Distribution Based on RS-LS Technique
title_full_unstemmed Minimizing Energy Consumption in Roadside Unit of Zigzag Distribution Based on RS-LS Technique
title_sort minimizing energy consumption in roadside unit of zigzag distribution based on rs-ls technique
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806427963215839232
score 13.18916