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...
Autores principales: | , , , |
---|---|
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 |