Performance analysis of vehicular adhoc network using different highway traffic scenarios in cloud computing

Nigar Fida; Fazlullah Khan; Mian Ahmad Jan; Zahid Khan

doi:10.1007/978-3-319-51207-5_15

Performance analysis of vehicular adhoc network using different highway traffic scenarios in cloud computing

Nigar Fida^*
, Fazlullah Khan
, Mian Ahmad Jan
, Zahid Khan

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

12 Citations (Scopus)

Abstract

Vehicular Ad-hoc Networks (VANETs) combine intelligent vehicles on highways aim to solve many transportation problems. The performance of VANETs is affected by many parameters due to highly dynamic structure. We assessed the performance of VANETs over different highway’s scenarios and investigated that under which circumstances the performance will be better and vice versa. We adopted our experiments in infrastructure environment, where the road side units (RSUs) are connected with cloud server. The RSU periodically gathers spatial-temporal information and upload it to cloud, which could help the drivers to predict the status of road before journey. The experiments carried on two types of highway’s scenarios: varying vehicles densities and simulation time. The simulation result shows that selected performance metrics (throughput, E2E delay and packet loss) greatly affect in both scenarios. The simulation time within the interval 200 to 500 is an optimal choice during simulation experiments. The throughput and packet loss increases with increase in vehicle density. The end-to-end delay has an inverse relation with vehicle density. The highway scenarios are generated by SUMO and the actual simulation is done by NS2.

Original language	English
Title of host publication	Future Intelligent Vehicular Technologies - 1st International Conference, Future 5V 2016, Revised Selected Papers
Editors	Joaquim Ferreira, Muhammad Alam
Publisher	Springer Verlag
Pages	157-166
Number of pages	10
ISBN (Print)	9783319512068
DOIs	https://doi.org/10.1007/978-3-319-51207-5_15
Publication status	Published - 2017
Externally published	Yes
Event	1st International Conference on Future Intelligent Vehicular Technologies, Future 5V 2016 - Porto, Portugal Duration: 15 Sept 2016 → 15 Sept 2016

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	185
ISSN (Print)	1867-8211

Conference

Conference	1st International Conference on Future Intelligent Vehicular Technologies, Future 5V 2016
Country/Territory	Portugal
City	Porto
Period	15/09/16 → 15/09/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Free Keywords

Cloud computing
End-to-end delay
Network simulator
Packet loss
Performance analysis
Throughput
VANET
Vehicle density

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1007/978-3-319-51207-5_15

Cite this

Fida, N., Khan, F., Jan, M. A., & Khan, Z. (2017). Performance analysis of vehicular adhoc network using different highway traffic scenarios in cloud computing. In J. Ferreira, & M. Alam (Eds.), Future Intelligent Vehicular Technologies - 1st International Conference, Future 5V 2016, Revised Selected Papers (pp. 157-166). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 185). Springer Verlag. https://doi.org/10.1007/978-3-319-51207-5_15

Fida, Nigar ; Khan, Fazlullah ; Jan, Mian Ahmad et al. / Performance analysis of vehicular adhoc network using different highway traffic scenarios in cloud computing. Future Intelligent Vehicular Technologies - 1st International Conference, Future 5V 2016, Revised Selected Papers. editor / Joaquim Ferreira ; Muhammad Alam. Springer Verlag, 2017. pp. 157-166 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{e03a6b275f734572890465f8276ffd6c,

title = "Performance analysis of vehicular adhoc network using different highway traffic scenarios in cloud computing",

abstract = "Vehicular Ad-hoc Networks (VANETs) combine intelligent vehicles on highways aim to solve many transportation problems. The performance of VANETs is affected by many parameters due to highly dynamic structure. We assessed the performance of VANETs over different highway{\textquoteright}s scenarios and investigated that under which circumstances the performance will be better and vice versa. We adopted our experiments in infrastructure environment, where the road side units (RSUs) are connected with cloud server. The RSU periodically gathers spatial-temporal information and upload it to cloud, which could help the drivers to predict the status of road before journey. The experiments carried on two types of highway{\textquoteright}s scenarios: varying vehicles densities and simulation time. The simulation result shows that selected performance metrics (throughput, E2E delay and packet loss) greatly affect in both scenarios. The simulation time within the interval 200 to 500 is an optimal choice during simulation experiments. The throughput and packet loss increases with increase in vehicle density. The end-to-end delay has an inverse relation with vehicle density. The highway scenarios are generated by SUMO and the actual simulation is done by NS2.",

keywords = "Cloud computing, End-to-end delay, Network simulator, Packet loss, Performance analysis, Throughput, VANET, Vehicle density",

author = "Nigar Fida and Fazlullah Khan and Jan, \{Mian Ahmad\} and Zahid Khan",

note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017.; 1st International Conference on Future Intelligent Vehicular Technologies, Future 5V 2016 ; Conference date: 15-09-2016 Through 15-09-2016",

year = "2017",

doi = "10.1007/978-3-319-51207-5\_15",

language = "English",

isbn = "9783319512068",

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

publisher = "Springer Verlag",

pages = "157--166",

editor = "Joaquim Ferreira and Muhammad Alam",

booktitle = "Future Intelligent Vehicular Technologies - 1st International Conference, Future 5V 2016, Revised Selected Papers",

address = "Germany",

}

Fida, N, Khan, F, Jan, MA & Khan, Z 2017, Performance analysis of vehicular adhoc network using different highway traffic scenarios in cloud computing. in J Ferreira & M Alam (eds), Future Intelligent Vehicular Technologies - 1st International Conference, Future 5V 2016, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 185, Springer Verlag, pp. 157-166, 1st International Conference on Future Intelligent Vehicular Technologies, Future 5V 2016, Porto, Portugal, 15/09/16. https://doi.org/10.1007/978-3-319-51207-5_15

Performance analysis of vehicular adhoc network using different highway traffic scenarios in cloud computing. / Fida, Nigar; Khan, Fazlullah; Jan, Mian Ahmad et al.
Future Intelligent Vehicular Technologies - 1st International Conference, Future 5V 2016, Revised Selected Papers. ed. / Joaquim Ferreira; Muhammad Alam. Springer Verlag, 2017. p. 157-166 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 185).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Performance analysis of vehicular adhoc network using different highway traffic scenarios in cloud computing

AU - Fida, Nigar

AU - Khan, Fazlullah

AU - Jan, Mian Ahmad

AU - Khan, Zahid

N1 - Publisher Copyright: © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017.

PY - 2017

Y1 - 2017

N2 - Vehicular Ad-hoc Networks (VANETs) combine intelligent vehicles on highways aim to solve many transportation problems. The performance of VANETs is affected by many parameters due to highly dynamic structure. We assessed the performance of VANETs over different highway’s scenarios and investigated that under which circumstances the performance will be better and vice versa. We adopted our experiments in infrastructure environment, where the road side units (RSUs) are connected with cloud server. The RSU periodically gathers spatial-temporal information and upload it to cloud, which could help the drivers to predict the status of road before journey. The experiments carried on two types of highway’s scenarios: varying vehicles densities and simulation time. The simulation result shows that selected performance metrics (throughput, E2E delay and packet loss) greatly affect in both scenarios. The simulation time within the interval 200 to 500 is an optimal choice during simulation experiments. The throughput and packet loss increases with increase in vehicle density. The end-to-end delay has an inverse relation with vehicle density. The highway scenarios are generated by SUMO and the actual simulation is done by NS2.

AB - Vehicular Ad-hoc Networks (VANETs) combine intelligent vehicles on highways aim to solve many transportation problems. The performance of VANETs is affected by many parameters due to highly dynamic structure. We assessed the performance of VANETs over different highway’s scenarios and investigated that under which circumstances the performance will be better and vice versa. We adopted our experiments in infrastructure environment, where the road side units (RSUs) are connected with cloud server. The RSU periodically gathers spatial-temporal information and upload it to cloud, which could help the drivers to predict the status of road before journey. The experiments carried on two types of highway’s scenarios: varying vehicles densities and simulation time. The simulation result shows that selected performance metrics (throughput, E2E delay and packet loss) greatly affect in both scenarios. The simulation time within the interval 200 to 500 is an optimal choice during simulation experiments. The throughput and packet loss increases with increase in vehicle density. The end-to-end delay has an inverse relation with vehicle density. The highway scenarios are generated by SUMO and the actual simulation is done by NS2.

KW - Cloud computing

KW - End-to-end delay

KW - Network simulator

KW - Packet loss

KW - Performance analysis

KW - Throughput

KW - VANET

KW - Vehicle density

UR - https://www.scopus.com/pages/publications/85010040326

U2 - 10.1007/978-3-319-51207-5_15

DO - 10.1007/978-3-319-51207-5_15

M3 - Conference contribution

AN - SCOPUS:85010040326

SN - 9783319512068

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

SP - 157

EP - 166

BT - Future Intelligent Vehicular Technologies - 1st International Conference, Future 5V 2016, Revised Selected Papers

A2 - Ferreira, Joaquim

A2 - Alam, Muhammad

PB - Springer Verlag

T2 - 1st International Conference on Future Intelligent Vehicular Technologies, Future 5V 2016

Y2 - 15 September 2016 through 15 September 2016

ER -

Fida N, Khan F, Jan MA, Khan Z. Performance analysis of vehicular adhoc network using different highway traffic scenarios in cloud computing. In Ferreira J, Alam M, editors, Future Intelligent Vehicular Technologies - 1st International Conference, Future 5V 2016, Revised Selected Papers. Springer Verlag. 2017. p. 157-166. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-51207-5_15

Performance analysis of vehicular adhoc network using different highway traffic scenarios in cloud computing

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

Access to Document

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