Cargando…

An Efficient Framework Model for Optimizing Routing Performance in VANETs

Routing in Vehicular Ad hoc Networks (VANET) is a bit complicated because of the nature of the high dynamic mobility. The efficiency of routing protocol is influenced by a number of factors such as network density, bandwidth constraints, traffic load, and mobility patterns resulting in frequency cha...

Descripción completa

Detalles Bibliográficos
Autores principales: Al-Kharasani, Nori M., Zulkarnain, Zuriati Ahmad, Subramaniam, Shamala, Hanapi, Zurina Mohd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855465/
https://www.ncbi.nlm.nih.gov/pubmed/29462884
http://dx.doi.org/10.3390/s18020597
_version_ 1783307103294717952
author Al-Kharasani, Nori M.
Zulkarnain, Zuriati Ahmad
Subramaniam, Shamala
Hanapi, Zurina Mohd
author_facet Al-Kharasani, Nori M.
Zulkarnain, Zuriati Ahmad
Subramaniam, Shamala
Hanapi, Zurina Mohd
author_sort Al-Kharasani, Nori M.
collection PubMed
description Routing in Vehicular Ad hoc Networks (VANET) is a bit complicated because of the nature of the high dynamic mobility. The efficiency of routing protocol is influenced by a number of factors such as network density, bandwidth constraints, traffic load, and mobility patterns resulting in frequency changes in network topology. Therefore, Quality of Service (QoS) is strongly needed to enhance the capability of the routing protocol and improve the overall network performance. In this paper, we introduce a statistical framework model to address the problem of optimizing routing configuration parameters in Vehicle-to-Vehicle (V2V) communication. Our framework solution is based on the utilization of the network resources to further reflect the current state of the network and to balance the trade-off between frequent changes in network topology and the QoS requirements. It consists of three stages: simulation network stage used to execute different urban scenarios, the function stage used as a competitive approach to aggregate the weighted cost of the factors in a single value, and optimization stage used to evaluate the communication cost and to obtain the optimal configuration based on the competitive cost. The simulation results show significant performance improvement in terms of the Packet Delivery Ratio (PDR), Normalized Routing Load (NRL), Packet loss (PL), and End-to-End Delay (E2ED).
format Online
Article
Text
id pubmed-5855465
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-58554652018-03-20 An Efficient Framework Model for Optimizing Routing Performance in VANETs Al-Kharasani, Nori M. Zulkarnain, Zuriati Ahmad Subramaniam, Shamala Hanapi, Zurina Mohd Sensors (Basel) Article Routing in Vehicular Ad hoc Networks (VANET) is a bit complicated because of the nature of the high dynamic mobility. The efficiency of routing protocol is influenced by a number of factors such as network density, bandwidth constraints, traffic load, and mobility patterns resulting in frequency changes in network topology. Therefore, Quality of Service (QoS) is strongly needed to enhance the capability of the routing protocol and improve the overall network performance. In this paper, we introduce a statistical framework model to address the problem of optimizing routing configuration parameters in Vehicle-to-Vehicle (V2V) communication. Our framework solution is based on the utilization of the network resources to further reflect the current state of the network and to balance the trade-off between frequent changes in network topology and the QoS requirements. It consists of three stages: simulation network stage used to execute different urban scenarios, the function stage used as a competitive approach to aggregate the weighted cost of the factors in a single value, and optimization stage used to evaluate the communication cost and to obtain the optimal configuration based on the competitive cost. The simulation results show significant performance improvement in terms of the Packet Delivery Ratio (PDR), Normalized Routing Load (NRL), Packet loss (PL), and End-to-End Delay (E2ED). MDPI 2018-02-15 /pmc/articles/PMC5855465/ /pubmed/29462884 http://dx.doi.org/10.3390/s18020597 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Al-Kharasani, Nori M.
Zulkarnain, Zuriati Ahmad
Subramaniam, Shamala
Hanapi, Zurina Mohd
An Efficient Framework Model for Optimizing Routing Performance in VANETs
title An Efficient Framework Model for Optimizing Routing Performance in VANETs
title_full An Efficient Framework Model for Optimizing Routing Performance in VANETs
title_fullStr An Efficient Framework Model for Optimizing Routing Performance in VANETs
title_full_unstemmed An Efficient Framework Model for Optimizing Routing Performance in VANETs
title_short An Efficient Framework Model for Optimizing Routing Performance in VANETs
title_sort efficient framework model for optimizing routing performance in vanets
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855465/
https://www.ncbi.nlm.nih.gov/pubmed/29462884
http://dx.doi.org/10.3390/s18020597
work_keys_str_mv AT alkharasaninorim anefficientframeworkmodelforoptimizingroutingperformanceinvanets
AT zulkarnainzuriatiahmad anefficientframeworkmodelforoptimizingroutingperformanceinvanets
AT subramaniamshamala anefficientframeworkmodelforoptimizingroutingperformanceinvanets
AT hanapizurinamohd anefficientframeworkmodelforoptimizingroutingperformanceinvanets
AT alkharasaninorim efficientframeworkmodelforoptimizingroutingperformanceinvanets
AT zulkarnainzuriatiahmad efficientframeworkmodelforoptimizingroutingperformanceinvanets
AT subramaniamshamala efficientframeworkmodelforoptimizingroutingperformanceinvanets
AT hanapizurinamohd efficientframeworkmodelforoptimizingroutingperformanceinvanets