Prediction and modeling of connectivity probability in vehicular Ad Hoc networks

Recently,with the rapid development of vehicular communication technology,IoV(internet of vehicles)as one of the applications of IoT(internet of things),is attracting more and more attention as well as its basic applications.The algorithm of predicting the connectivity probability based on highway m...

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Main Authors: Huimin WANG, Haitao ZHAO
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2016-03-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016037/
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author Huimin WANG
Haitao ZHAO
author_facet Huimin WANG
Haitao ZHAO
author_sort Huimin WANG
collection DOAJ
description Recently,with the rapid development of vehicular communication technology,IoV(internet of vehicles)as one of the applications of IoT(internet of things),is attracting more and more attention as well as its basic applications.The algorithm of predicting the connectivity probability based on highway model was proposed.Also,the joint distribution of vehicles on highway was studied,and the equation calculating the boundaries of connectivity probability on one road segment was analyzed quantitatively.The diagram presenting the relationship between the connectivity probability on one road segment and the average number of vehicles in each tuple was depicted by Rstudio.As a consequence,the model of connectivity probability on one path was achieved by calculating the products of the connectivity probability on all road segments along one path.The analysis result shows that the connectivity probability on one path can be improved by increasing the communication range or the density of vehicles.
format Article
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institution Kabale University
issn 1000-0801
language zho
publishDate 2016-03-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-cc712f085b3f4a93a79fd0501cbe3deb2025-01-15T03:24:56ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-03-013211812259800491Prediction and modeling of connectivity probability in vehicular Ad Hoc networksHuimin WANGHaitao ZHAORecently,with the rapid development of vehicular communication technology,IoV(internet of vehicles)as one of the applications of IoT(internet of things),is attracting more and more attention as well as its basic applications.The algorithm of predicting the connectivity probability based on highway model was proposed.Also,the joint distribution of vehicles on highway was studied,and the equation calculating the boundaries of connectivity probability on one road segment was analyzed quantitatively.The diagram presenting the relationship between the connectivity probability on one road segment and the average number of vehicles in each tuple was depicted by Rstudio.As a consequence,the model of connectivity probability on one path was achieved by calculating the products of the connectivity probability on all road segments along one path.The analysis result shows that the connectivity probability on one path can be improved by increasing the communication range or the density of vehicles.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016037/VANETvehicle to vehicleconnectivity probabilityavailability
spellingShingle Huimin WANG
Haitao ZHAO
Prediction and modeling of connectivity probability in vehicular Ad Hoc networks
Dianxin kexue
VANET
vehicle to vehicle
connectivity probability
availability
title Prediction and modeling of connectivity probability in vehicular Ad Hoc networks
title_full Prediction and modeling of connectivity probability in vehicular Ad Hoc networks
title_fullStr Prediction and modeling of connectivity probability in vehicular Ad Hoc networks
title_full_unstemmed Prediction and modeling of connectivity probability in vehicular Ad Hoc networks
title_short Prediction and modeling of connectivity probability in vehicular Ad Hoc networks
title_sort prediction and modeling of connectivity probability in vehicular ad hoc networks
topic VANET
vehicle to vehicle
connectivity probability
availability
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016037/
work_keys_str_mv AT huiminwang predictionandmodelingofconnectivityprobabilityinvehicularadhocnetworks
AT haitaozhao predictionandmodelingofconnectivityprobabilityinvehicularadhocnetworks