Emergency message reduction scheme using markov prediction model in VANET environment

Hsin Hung Cho; Wei Chih Huang; Timothy K. Shih; Han Chieh Chao

doi:10.1007/978-3-319-60717-7_13

Emergency message reduction scheme using markov prediction model in VANET environment

Hsin Hung Cho, Wei Chih Huang, Timothy K. Shih, Han Chieh Chao

資訊工程學系

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

摘要

Today’s vehicles technologies are getting better as well as the price of the vehicle is not too expensive so that almost every household has an own car. However, road space is limited so there is high opportunity to see the accidents on the high dense road. Current VANET technology has been able to inform rear vehicles do not go there so that the traffic congestion can be reduced. In this scenario, there are very large amount of emergency message will be generated. It will increase the burden of road side unit. In this paper, we propose a Markov-based model to predict behavior of vehicles so that we can identify which cars really need to receive this message. Simulation results show that this method can reduces the unnecessary message transmission indeed.

原文	???core.languages.en_GB???
主出版物標題	Quality, Reliability, Security and Robustness in Heterogeneous Networks - 12th International Conference, QShine 2016, Proceedings
編輯	Sangheon Pack, Jong-Hyouk Lee
發行者	Springer Verlag
頁面	129-137
頁數	9
ISBN（列印）	9783319607160
DOIs	https://doi.org/10.1007/978-3-319-60717-7_13
出版狀態	已出版 - 2017
事件	12th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2016 - Seoul, Korea, Republic of 持續時間: 7 7月 2016 → 8 7月 2016

出版系列

名字	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
卷	199
ISSN（列印）	1867-8211

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	12th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2016
國家/地區	Korea, Republic of
城市	Seoul
期間	7/07/16 → 8/07/16

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10.1007/978-3-319-60717-7_13

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Cho, H. H., Huang, W. C., Shih, T. K., & Chao, H. C. (2017). Emergency message reduction scheme using markov prediction model in VANET environment. 於 S. Pack, & J.-H. Lee (編輯), Quality, Reliability, Security and Robustness in Heterogeneous Networks - 12th International Conference, QShine 2016, Proceedings (頁 129-137). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; 卷 199). Springer Verlag. https://doi.org/10.1007/978-3-319-60717-7_13

Cho, Hsin Hung ; Huang, Wei Chih ; Shih, Timothy K. 等. / Emergency message reduction scheme using markov prediction model in VANET environment. Quality, Reliability, Security and Robustness in Heterogeneous Networks - 12th International Conference, QShine 2016, Proceedings. 編輯 / Sangheon Pack ; Jong-Hyouk Lee. Springer Verlag, 2017. 頁 129-137 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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title = "Emergency message reduction scheme using markov prediction model in VANET environment",

abstract = "Today{\textquoteright}s vehicles technologies are getting better as well as the price of the vehicle is not too expensive so that almost every household has an own car. However, road space is limited so there is high opportunity to see the accidents on the high dense road. Current VANET technology has been able to inform rear vehicles do not go there so that the traffic congestion can be reduced. In this scenario, there are very large amount of emergency message will be generated. It will increase the burden of road side unit. In this paper, we propose a Markov-based model to predict behavior of vehicles so that we can identify which cars really need to receive this message. Simulation results show that this method can reduces the unnecessary message transmission indeed.",

keywords = "Emergency service, Markov chain, Prediction model, VANET",

author = "Cho, {Hsin Hung} and Huang, {Wei Chih} and Shih, {Timothy K.} and Chao, {Han Chieh}",

note = "Publisher Copyright: {\textcopyright} ICST Institute forComputer Sciences, Social Informatics andTelecommunicationsEngineering 2017.; 12th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2016 ; Conference date: 07-07-2016 Through 08-07-2016",

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Cho, HH, Huang, WC, Shih, TK & Chao, HC 2017, Emergency message reduction scheme using markov prediction model in VANET environment. 於 S Pack & J-H Lee (編輯), Quality, Reliability, Security and Robustness in Heterogeneous Networks - 12th International Conference, QShine 2016, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 卷 199, Springer Verlag, 頁 129-137, 12th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2016, Seoul, Korea, Republic of, 7/07/16. https://doi.org/10.1007/978-3-319-60717-7_13

Emergency message reduction scheme using markov prediction model in VANET environment. / Cho, Hsin Hung; Huang, Wei Chih; Shih, Timothy K. 等.
Quality, Reliability, Security and Robustness in Heterogeneous Networks - 12th International Conference, QShine 2016, Proceedings. 編輯 / Sangheon Pack; Jong-Hyouk Lee. Springer Verlag, 2017. p. 129-137 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; 卷 199).

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

TY - GEN

T1 - Emergency message reduction scheme using markov prediction model in VANET environment

AU - Cho, Hsin Hung

AU - Huang, Wei Chih

AU - Shih, Timothy K.

AU - Chao, Han Chieh

N1 - Publisher Copyright: © ICST Institute forComputer Sciences, Social Informatics andTelecommunicationsEngineering 2017.

PY - 2017

Y1 - 2017

N2 - Today’s vehicles technologies are getting better as well as the price of the vehicle is not too expensive so that almost every household has an own car. However, road space is limited so there is high opportunity to see the accidents on the high dense road. Current VANET technology has been able to inform rear vehicles do not go there so that the traffic congestion can be reduced. In this scenario, there are very large amount of emergency message will be generated. It will increase the burden of road side unit. In this paper, we propose a Markov-based model to predict behavior of vehicles so that we can identify which cars really need to receive this message. Simulation results show that this method can reduces the unnecessary message transmission indeed.

AB - Today’s vehicles technologies are getting better as well as the price of the vehicle is not too expensive so that almost every household has an own car. However, road space is limited so there is high opportunity to see the accidents on the high dense road. Current VANET technology has been able to inform rear vehicles do not go there so that the traffic congestion can be reduced. In this scenario, there are very large amount of emergency message will be generated. It will increase the burden of road side unit. In this paper, we propose a Markov-based model to predict behavior of vehicles so that we can identify which cars really need to receive this message. Simulation results show that this method can reduces the unnecessary message transmission indeed.

KW - Emergency service

KW - Markov chain

KW - Prediction model

KW - VANET

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T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

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EP - 137

BT - Quality, Reliability, Security and Robustness in Heterogeneous Networks - 12th International Conference, QShine 2016, Proceedings

A2 - Pack, Sangheon

A2 - Lee, Jong-Hyouk

PB - Springer Verlag

T2 - 12th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2016

Y2 - 7 July 2016 through 8 July 2016

ER -

Cho HH, Huang WC, Shih TK, Chao HC. Emergency message reduction scheme using markov prediction model in VANET environment. 於 Pack S, Lee JH, 編輯, Quality, Reliability, Security and Robustness in Heterogeneous Networks - 12th International Conference, QShine 2016, Proceedings. Springer Verlag. 2017. p. 129-137. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-60717-7_13

Emergency message reduction scheme using markov prediction model in VANET environment

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