Networking algorithm based on self-organizing map neural network for VANET

An approach was proposed to apply a self-organizing map neural network to organize vehicular ad hoc net-works,which were used for car driving-aid systems and automatic driverless systems in intelligent transportation area.Based on the location and driving direction information of the periodic messag...

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Main Authors: WU Yi1, YANG Qiong1, WU Qing-xiang2, SHEN Lian-feng1, LIN Xiao2
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2011-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/74417672/
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author WU Yi1
YANG Qiong1
WU Qing-xiang2
SHEN Lian-feng1
LIN Xiao2
author_facet WU Yi1
YANG Qiong1
WU Qing-xiang2
SHEN Lian-feng1
LIN Xiao2
author_sort WU Yi1
collection DOAJ
description An approach was proposed to apply a self-organizing map neural network to organize vehicular ad hoc net-works,which were used for car driving-aid systems and automatic driverless systems in intelligent transportation area.Based on the location and driving direction information of the periodic message of each vehicle,the vehicles were organ-ized into vehicular ad hoc networks according to the similarity of destination and driving direction.The organized vehi-cles only communicate mainly with the vehicles in the same vehicular ad hoc network and deal with messages from the same network.Theoretic analysis and simulation results show that the system transmission delay of this proposed algo-rithm is lower than one of the previous method,and the system throughput is remarkably improved.
format Article
id doaj-art-2f0eb22dfa3e419da382ceff8ef268e7
institution Kabale University
issn 1000-436X
language zho
publishDate 2011-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-2f0eb22dfa3e419da382ceff8ef268e72025-01-14T08:15:16ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-013213614574417672Networking algorithm based on self-organizing map neural network for VANETWU Yi1YANG Qiong1WU Qing-xiang2SHEN Lian-feng1LIN Xiao2An approach was proposed to apply a self-organizing map neural network to organize vehicular ad hoc net-works,which were used for car driving-aid systems and automatic driverless systems in intelligent transportation area.Based on the location and driving direction information of the periodic message of each vehicle,the vehicles were organ-ized into vehicular ad hoc networks according to the similarity of destination and driving direction.The organized vehi-cles only communicate mainly with the vehicles in the same vehicular ad hoc network and deal with messages from the same network.Theoretic analysis and simulation results show that the system transmission delay of this proposed algo-rithm is lower than one of the previous method,and the system throughput is remarkably improved.http://www.joconline.com.cn/zh/article/74417672/vehicular Ad Hoc networkself-organizing mapneural networksnetworking
spellingShingle WU Yi1
YANG Qiong1
WU Qing-xiang2
SHEN Lian-feng1
LIN Xiao2
Networking algorithm based on self-organizing map neural network for VANET
Tongxin xuebao
vehicular Ad Hoc network
self-organizing map
neural networks
networking
title Networking algorithm based on self-organizing map neural network for VANET
title_full Networking algorithm based on self-organizing map neural network for VANET
title_fullStr Networking algorithm based on self-organizing map neural network for VANET
title_full_unstemmed Networking algorithm based on self-organizing map neural network for VANET
title_short Networking algorithm based on self-organizing map neural network for VANET
title_sort networking algorithm based on self organizing map neural network for vanet
topic vehicular Ad Hoc network
self-organizing map
neural networks
networking
url http://www.joconline.com.cn/zh/article/74417672/
work_keys_str_mv AT wuyi1 networkingalgorithmbasedonselforganizingmapneuralnetworkforvanet
AT yangqiong1 networkingalgorithmbasedonselforganizingmapneuralnetworkforvanet
AT wuqingxiang2 networkingalgorithmbasedonselforganizingmapneuralnetworkforvanet
AT shenlianfeng1 networkingalgorithmbasedonselforganizingmapneuralnetworkforvanet
AT linxiao2 networkingalgorithmbasedonselforganizingmapneuralnetworkforvanet