research-article

Socially inspired data dissemination for vehicular ad hoc networks

Authors:

Antonio A. LoureiroAuthors Info & Claims

MSWiM '14: Proceedings of the 17th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems

Pages 81 - 85

https://doi.org/10.1145/2641798.2641834

Published: 21 September 2014 Publication History

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Abstract

People have routines and their mobility patterns vary during the day, which have a direct impact on vehicular mobility. Therefore, proto- cols and applications designed for Vehicular Ad Hoc Networks need to adapt to these routines in order to provide better services. With this issue in mind, in this work, we propose a data dissemination solution for these networks that considers the daily road traffic variation of large cities and the relationship among vehicles. The focus of our approach is to select the best vehicles to rebroadcast data messages according to social metrics, in particular, the clustering coefficient and the node degree. Moreover, our solution is designed in such a way that it is completely independent of the perceived road traffic density. Simulation results show that, when compared to related protocols, our proposal provides better delivery guarantees, reduces the network overhead and possesses an acceptable delay.

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Cited By

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Gu DMa YDan FYang XZhou FYan BLu SNing B(2024)A Data Dissemination Algorithm Based on Maximization of Causal Path Entropy in Vehicular Ad Hoc NetworksIEEE Internet of Things Journal10.1109/JIOT.2024.337064811:11(19736-19748)Online publication date: 1-Jun-2024
https://doi.org/10.1109/JIOT.2024.3370648
Bennaoui AGuezouri MKeche M(2024)Improving VANET Data Dissemination Efficiency with Deep Neural NetworksJournal of Network and Systems Management10.1007/s10922-024-09858-032:4Online publication date: 25-Aug-2024
https://dl.acm.org/doi/10.1007/s10922-024-09858-0
Brennand CMeneguette RFilho G(2023)FOXS-GSC—Fast Offset Xpath Service with HexagonS CommunicationInformatics10.3390/informatics1003005610:3(56)Online publication date: 4-Jul-2023
https://doi.org/10.3390/informatics10030056
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Index Terms

Socially inspired data dissemination for vehicular ad hoc networks
1. Networks
  1. Network architectures

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Published In

MSWiM '14: Proceedings of the 17th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems

September 2014

352 pages

ISBN:9781450330305

DOI:10.1145/2641798

General Chairs:
Ravi Prakash
University of Texas at Dallas, USA
,
Azzedine Boukerche
University of Ottawa, Canada
,
Program Chairs:
Cheng Li
Memorial University of Newfoundland, Canada
,
Falko Dressler
University of Paderborn, Germany

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 September 2014

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MSWiM'14

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SIGSIM

MSWiM'14: 17th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

September 21 - 26, 2014

QC, Montreal, Canada

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MSWiM '14 Paper Acceptance Rate 32 of 128 submissions, 25%;

Overall Acceptance Rate 398 of 1,577 submissions, 25%

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Citations

Cited By

View all

Gu DMa YDan FYang XZhou FYan BLu SNing B(2024)A Data Dissemination Algorithm Based on Maximization of Causal Path Entropy in Vehicular Ad Hoc NetworksIEEE Internet of Things Journal10.1109/JIOT.2024.337064811:11(19736-19748)Online publication date: 1-Jun-2024
https://doi.org/10.1109/JIOT.2024.3370648
Bennaoui AGuezouri MKeche M(2024)Improving VANET Data Dissemination Efficiency with Deep Neural NetworksJournal of Network and Systems Management10.1007/s10922-024-09858-032:4Online publication date: 25-Aug-2024
https://dl.acm.org/doi/10.1007/s10922-024-09858-0
Brennand CMeneguette RFilho G(2023)FOXS-GSC—Fast Offset Xpath Service with HexagonS CommunicationInformatics10.3390/informatics1003005610:3(56)Online publication date: 4-Jul-2023
https://doi.org/10.3390/informatics10030056
Ullah NKong XNing ZTolba AAlrashoud MXia F(2022)Emergency warning messages dissemination in vehicular social networksVehicular Communications10.1016/j.vehcom.2019.10019922:COnline publication date: 22-Apr-2022
https://dl.acm.org/doi/10.1016/j.vehcom.2019.100199
Laha MDatta R(2021)Efficient Message Dissemination in V2V Network: A Local Centrality-based Approach2021 National Conference on Communications (NCC)10.1109/NCC52529.2021.9530108(1-6)Online publication date: 27-Jul-2021
https://doi.org/10.1109/NCC52529.2021.9530108
Zhang BTian RLi C(2020)Content Dissemination and Routing for Vehicular Social Networks: A Networking PerspectiveIEEE Wireless Communications10.1109/MWC.001.190022527:2(118-126)Online publication date: Apr-2020
https://doi.org/10.1109/MWC.001.1900225
Yury AAndrade ENogueira MSantos AMatos F(2020)Social-based Cooperation of Vehicles for Data Dissemination of Critical Urban EventsGLOBECOM 2020 - 2020 IEEE Global Communications Conference10.1109/GLOBECOM42002.2020.9322301(1-6)Online publication date: Dec-2020
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D. da Costa Jde Souza ARosário DCerqueira EVillas L(2019)Efficient data dissemination protocol based on complex networks’ metrics for urban vehicular networksJournal of Internet Services and Applications10.1186/s13174-019-0114-y10:1Online publication date: 3-Aug-2019
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Modesto FBoukerche A(2019)Towards Integrating Public Transit Bus Systems into Urban and Intelligent Vehicular Networks2019 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC.2019.8885466(1-6)Online publication date: Apr-2019
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Doukha' ZLoumachi I(2019)Secure Data Dissemination for Smart Transportation SystemsSmart Cities Cybersecurity and Privacy10.1016/B978-0-12-815032-0.00015-9(217-225)Online publication date: 2019
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