Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2989275.2989286acmconferencesArticle/Chapter ViewAbstractPublication PagesmswimConference Proceedingsconference-collections
research-article

On Developing Smart Transportation Applications in Fog Computing Paradigm

Published: 13 November 2016 Publication History
  • Get Citation Alerts
  • Abstract

    Smart Transportation applications by nature are examples of Vehicular Ad-hoc Network (VANETs) applications where mobile vehicles, roadside units and transportation infrastructure interplay with one another to provide value added services. While there are abundant researches that focused on the communication aspect of such Mobile Ad-hoc Networks, there are few research bodies that target the development of VANET applications. Among the popular VANET applications, a dominant direction is to leverage Cloud infrastructure to execute and deliver applications and services. Recent studies showed that Cloud Computing is not sufficient for many VANET applications due to the mobility of vehicles and the latency sensitive requirements they impose. To this end, Fog Computing has been proposed to leverage computation infrastructure that is closer to the network edge to compliment Cloud Computing in providing latency-sensitive applications and services. However, applications development in Fog environment is much more challenging than in the Cloud due to the distributed nature of Fog systems. In this paper, we investigate how Smart Transportation applications are developed following Fog Computing approach, their challenges and possible mitigation from the state of the arts.

    References

    [1]
    S. Bitam, A. Mellouk, and Z. Sherali. VANET-Cloud: A Generic Cloud Computing Model for Vehicular Ad Hoc Networks. IEEE Wireless Communications, (February):96--102, 2015.
    [2]
    F. Bonomi, R. Milito, J. Zhu, and S. Addepalli. Fog Computing and Its Role in the Internet of Things Characterization of Fog Computing. In the first edition of the MCC workshop on Mobile cloud computing (MCC '12), pages 13--15, 2012.
    [3]
    B. Chen and H. H. Cheng. A review of the applications of agent technology in traffic and transportation systems. IEEE Transactions on Intelligent Transportation Systems, 11(2):485--497, 2010.
    [4]
    X. Chen, E. Santos-Neto, and M. Ripeanu. Smart parking by the coin. In Proceedings of the Third ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, DIVANet '13, pages 109--114, New York, NY, USA, 2013. ACM.
    [5]
    K. Dar, A. Taherkordi, R. Vitenberg, R. Rouvoy, and F. Eliassen. Adaptable service composition for very-large-scale Internet of Things systems. Proceedings of the Workshop on Posters and Demos Track - PDT '11, (DECEMBER):1--2, 2011.
    [6]
    F. DeRemer and H. Kron. Programming-in-the large versus programming-in-the-small. In International conference on Reliable software, volume 10, pages 114--121, 1975.
    [7]
    G. Dimitrakopoulos. Intelligent transportation systems based on internet-connected vehicles: Fundamental research areas and challenges. ITS Telecommunications (ITST), 2011 11th International Conference on, pages 145--151, 2011.
    [8]
    Y. Gao, W. Hu, K. Ha, B. Amos, P. Pillai, and M. Satyanarayanan. Are Cloudlets Necessary -- (October), 2015.
    [9]
    M. Gerla, E.-K. Lee, G. Pau, and U. Lee. Internet of vehicles: From intelligent grid to autonomous cars and vehicular clouds. 2014 IEEE World Forum on Internet of Things (WF-IoT), pages 241--246, 2014.
    [10]
    N. K. Giang, M. Blackstock, R. Lea, and V. C. M. Leung. Developing IoT Applications in the Fog : a Distributed Dataflow Approach. 2015.
    [11]
    M. Hajibaba and S. Gorgin. A Review on Modern Distributed Computing Paradigms : Cloud Computing, Jungle Computing. Journal Of Computing & Information Technology, 22(2):69--84, 2014.
    [12]
    W. He, G. Yan, and L. D. Xu. Developing vehicular data cloud services in the IoT environment. IEEE Transactions on Industrial Informatics, 10(2):1587--1595, 2014.
    [13]
    K. Hong, D. Lillethun, B. Ottenwälder, and B. Koldehofe. Mobile Fog : A Programming Model for Large -- Scale Applications on the Internet of Things. In the second ACM SIGCOMM workshop on Mobile cloud computing (MCC '13), pages 15--20, 2013.
    [14]
    X. Hu, V. C. M. Leung, K. G. Li, E. Kong, H. Zhang, N. S. Surendrakumar, and P. TalebiFard. Social Drive: A Crowdsourcing-based Vehicular Social Networking System for Green Transportation. In Proceedings of the Third ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, DIVANet '13, pages 85--92, New York, NY, USA, 2013. ACM.
    [15]
    X. Hu, L. Wang, Z. Sheng, P. TalebiFard, L. Zhou, J. Liu, and V. C. Leung. Towards a service centric contextualized vehicular cloud. In Proceedings of the Fourth ACM International Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, DIVANet '14, pages 73--80, New York, NY, USA, 2014. ACM.
    [16]
    X. Hu, J. Zhao, D. Zhou, and V. Leung. A semantics-based multi-agent framework for vehicular social network development. ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet), pages 87--96, 2011.
    [17]
    X. Hu, J. Zhao, D. Zhou, and V. Leung. A semantics-based multi-agent framework for vehicular social network development. ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet), pages 87--96, 2011.
    [18]
    R. Hussain, J. Son, H. Eun, S. Kim, and H. Oh. Rethinking Vehicular Communications: Merging VANET with cloud computing. CloudCom 2012 - Proceedings: 2012 4th IEEE International Conference on Cloud Computing Technology and Science, pages 606--609, 2012.
    [19]
    K. Kai, W. Cong, and L. Tao. Fog computing for vehicular Ad-hoc networks: paradigms, scenarios, and issues. The Journal of China Universities of Posts and Telecommunications, 23(2):56--96, 2016.
    [20]
    Z. Li, C. Chen, and K. Wang. Cloud computing for agent-based urban transportation systems. IEEE Intelligent Systems, 26(1):73--79, 2011.
    [21]
    D. Lymberopoulos and A. Savvides. XYZ: A motion-enabled, power aware sensor node platform for distributed sensor network applications. In 2005 4th International Symposium on Information Processing in Sensor Networks, IPSN 2005, volume 2005, pages 449--454, 2005.
    [22]
    R. Meier, B. Hughes, R. Cunningham, and V. Cahill. Towards real-time middleware for applications of vehicular ad hoc networks. Distributed Applications and Interoperable Systems, pages 1--13, 2005.
    [23]
    L. Mottola and G. P. Picco. Programming wireless sensor networks: fundamental concepts and state of the art. ACM Computing Surveys, 43(3):1--51, 2011.
    [24]
    H. Moustafa and Y. Zhang. Vehicular Networks: Techniques, Standards, and Applications. Auerbach Publications, Boston, MA, USA, 1st edition, 2009.
    [25]
    S. Nour, R. Negru, F. Xhafa, F. Pop, C. Dobre, and V. Cristea. Middleware for Data Sensing and Processing in VANETs. Proceedings - 2011 International Conference on Emerging Intelligent Data and Web Technologies, EIDWT 2011, 1:42--48, 2011.
    [26]
    S. Sarkar, S. Chatterjee, and S. Misra. Assessment of the Suitability of Fog Computing in the Context of Internet of Things. IEEE Transactions on Cloud Computing, PP(99):1--1, 2015.
    [27]
    R. C. Shah, S. Roy, S. Jain, and W. Brunette. Data MULEs: Modeling a three-tier architecture for sparse sensor networks. In Proceedings of the 1st IEEE International Workshop on Sensor Network Protocols and Applications, SNPA 2003, pages 30--41. Institute of Electrical and Electronics Engineers Inc., 2003.
    [28]
    P. Trivedi, K. Deshmukh, and M. Shrivastava. Cloud Computing for Intelligent Transportation System. International Journal of Soft Computing & Engineering, 2(3):568--572, 2012.
    [29]
    O. Urra, S. Ilarri, T. Delot, and E. Mena. Mobile Agents in Vehicular Networks: Taking a First Ride. Advances in Practical Applications of Agents and Multiagent Systems, 70:119--124, 2010.
    [30]
    L. M. Vaquero and L. Rodero-Merino. Finding your Way in the Fog. ACM SIGCOMM Computer Communication Review, 44(5):27--32, 2014.
    [31]
    A. Wegener, H. Hellbrück, S. Fischer, B. Hendriks, C. Schmidt, and S. P. Fekete. Designing a Decentralized Traffic Information System - AutoNomos. Proceedings of the 16. ITG/GI - Fachtagung Kommunikation in Verteilten Systemen (KiVS), pages 309--315, 2009.
    [32]
    J. Zhang, F.-Y. Wang, K. Wang, W.-H. Lin, X. Xu, and C. Chen. Data-Driven Intelligent Transportation Systems: A Survey. IEEE Transactions on Intelligent Transportation Systems, 12(4):1624--1639, 2011.

    Cited By

    View all
    • (2024)RIDIC: Real-Time Intelligent Transportation System With Dispersed ComputingIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.330387725:1(1013-1022)Online publication date: Jan-2024
    • (2024)A Heuristic Task Scheduling Algorithm for Vehicular Fog Computing2024 8th International Conference on Smart Cities, Internet of Things and Applications (SCIoT)10.1109/SCIoT62588.2024.10570144(168-173)Online publication date: 14-May-2024
    • (2024)Advance Public Bus Transport Management System: An Innovative Smart Bus Concept2024 IEEE International Conference on Consumer Electronics (ICCE)10.1109/ICCE59016.2024.10444144(1-6)Online publication date: 6-Jan-2024
    • Show More Cited By

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    DIVANet '16: Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications
    November 2016
    148 pages
    ISBN:9781450345064
    DOI:10.1145/2989275
    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]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 13 November 2016

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. fog computing
    2. internet of things
    3. programming model
    4. smart transportation

    Qualifiers

    • Research-article

    Funding Sources

    • NSERC IPS

    Conference

    MSWiM '16
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 70 of 308 submissions, 23%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)22
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 11 Aug 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)RIDIC: Real-Time Intelligent Transportation System With Dispersed ComputingIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.330387725:1(1013-1022)Online publication date: Jan-2024
    • (2024)A Heuristic Task Scheduling Algorithm for Vehicular Fog Computing2024 8th International Conference on Smart Cities, Internet of Things and Applications (SCIoT)10.1109/SCIoT62588.2024.10570144(168-173)Online publication date: 14-May-2024
    • (2024)Advance Public Bus Transport Management System: An Innovative Smart Bus Concept2024 IEEE International Conference on Consumer Electronics (ICCE)10.1109/ICCE59016.2024.10444144(1-6)Online publication date: 6-Jan-2024
    • (2024)A Way to Design Fog Computing Model For 5G Network using Vanet2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)10.1109/ICACITE60783.2024.10617287(431-435)Online publication date: 14-May-2024
    • (2024)Systematic Mapping Study on Edge and Fog Computing in Smart Cities: A Comprehensive Review2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE)10.1109/IC3SE62002.2024.10593518(771-777)Online publication date: 9-May-2024
    • (2024)A Survey of Industrial AIoT: Opportunities, Challenges, and DirectionsIEEE Access10.1109/ACCESS.2024.342627912(96946-96996)Online publication date: 2024
    • (2024)Building a Greener World: Harnessing the Power of IoT and Smart Devices for Sustainable EnvironmentTechnical and Technological Solutions Towards a Sustainable Society and Circular Economy10.1007/978-3-031-56292-1_3(35-58)Online publication date: 14-May-2024
    • (2023)Smart City EcosystemHandbook of Research on Network-Enabled IoT Applications for Smart City Services10.4018/979-8-3693-0744-1.ch005(75-98)Online publication date: 30-Jun-2023
    • (2023)Smart Transportation: An Overview of Technologies and ApplicationsSensors10.3390/s2308388023:8(3880)Online publication date: 11-Apr-2023
    • (2023)A Comprehensive Survey Exploring the Multifaceted Interplay between Mobile Edge Computing and Vehicular NetworksFuture Internet10.3390/fi1512039115:12(391)Online publication date: 30-Nov-2023
    • Show More Cited By

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media