Automotive virtual edge communicator (AVEC) with vehicular inter-agent service orchestration and resourcing (ViSOR)

Annals of Telecommunications volume 74, pages655–662(2019)Cite this article

Abstract

At time of crisis, relief teams must have assured connectivity, not only just within the team but also across different service agencies in the area. Since emergency agencies and essential services always send service cars to affected zones, advanced technologies and computing resources aboard these vehicles can be pooled together to boost network capacity temporarily, just where it is crucially needed. These vehicles become automotive virtual edge communicators (AVECs). They are managed by a vehicular inter-agency service orchestration and resourcing (ViSOR) system that creates transient proximity-based “trust circles” to manage novel cooperative hosting, opportunistic virtualization, and “car sourcing” of crisis zone data. This study evaluates the feasibility for this challenging but highly rewarding concept and identifies gaps in emerging technologies.

This is a preview of subscription content, access via your institution.

Access options

Buy single article

Instant access to the full article PDF.

US$ 39.95

Tax calculation will be finalised during checkout.

Fig. 1
Fig. 2
Fig. 3

References

  1. 1.

    Copeland R, Ahvar S, Crespi N, Copeland M, Durand R, Duquerrois J-M, Paganelli F, Battisti F, Neri A (2018) Technology assessment for mission-critical services on automotive virtual edge communicator (AVEC). Conference on innovations in clouds, Internet and networks

  2. 2.

    Wood R (2013) Fixed internet traffic worldwide: forecasts and analysis 2013–2018. Analysys Mason Ltd, London

    Google Scholar 

  3. 3.

    MEC deployment of mobile edge computing in an NFV environment. ETSI GR MEC 017 V1.1.1 (2018–02), pp 6,7

  4. 4.

    UL Transaction Security (2015) The future of SIM. https://library.ul.com/wp-content/uploads/sites/40/2015/05/The-future-of-SIM.pdf. Accessed 12 June 2019

  5. 5.

    Transatel (2017) Security for the IoT. http://www.transatel.com/wp-content/uploads/2017/03/Security-for-the-IoT_Feb_2017_high-res-1.pdf. Accessed 12 June 2019

  6. 6.

    Copeland R, Copeland M (2017) Independently verifiable identity scheme (IVIS). Conference on Innovations in Clouds, Internet and Networks, pp 196–198

  7. 7.

    Intelligent Transport Systems (ITS); Vehicular Communications; Basic Set of Applications; Part 3: Specifications of decentralized environmental notification basic service (2010) ETSI TS 102 637–3, V.1.1.1

  8. 8.

    Intelligent Transport Systems (ITS); Vehicular Communications; Basic Set of Applications; Part 2: Specification of cooperative awareness basic service (2011) ETSI TS 102 637–2, V.1.2.1

  9. 9.

    Mobile edge computing (MEC) framework and reference architecture (2016) ETSI GS MEC 003 V1.1.1

  10. 10.

    Sciancalepore V, Giust F, Samdanis K, Yousaf Z (2016) A double-tier MEC-NFV architecture: design and optimisation. IEEE Conference on Standards for Communications and Networking (CSCN), pp 1–6

  11. 11.

    Gil Herrera J, Botero JF (2016) Resource allocation in NFV: a comprehensive survey. IEEE Trans Netw Serv Manag 13(3):518–532

    Article  Google Scholar 

  12. 12.

    Mehraghdam S, Keller M, Holger K (2014) Specifying and placing chains of virtual network functions. IEEE 3rd International Conference on Cloud Networking (CloudNet), Luxembourg, pp 7–13

  13. 13.

    Dieye M, Ahvar S, Sahoo J, Ahvar E, Glitho R, Elbiaze H, Crespi N (2018) CPVNF: cost-efficient proactive VNF placement and chaining for value-added services in content delivery networks. IEEE Trans Netw Serv Manag 15:774–786

    Article  Google Scholar 

  14. 14.

    Sadiq U, Kumar M, Passarella A, Conti M (2015) Service composition in opportunistic networks: a load and mobility aware solution. IEEE Trans Comput 64(8):2308–2322

    MathSciNet  Article  MATH  Google Scholar 

  15. 15.

    Becchetti C, Frosali F, Lezaack E (2013) Transnational interoperability: a system framework for public protection and disaster relief. IEEE Veh Technol Mag 8(2):46–54

    Article  Google Scholar 

  16. 16.

    5G Americas (2016) Network slicing for 5G networks and services. https://www.ericsson.com/en/networks/topics/network-slicing. Accessed 12 June 2019

  17. 17.

    Li T, Bai L (2011) Model of wireless telecommunications network infrastructure sharing & benefit-cost analysis. International conference on information management, innovation management and industrial engineering, Shenzhen, pp 102–105

  18. 18.

    Fantacci R, Gei F, Marabissi D, Micciullo L (2016) Public safety networks evolution toward broadband: sharing infrastructures and spectrum with commercial systems. IEEE Commun Mag 54(4):24–30

    Article  Google Scholar 

  19. 19.

    Meireles R, Steenkiste P, Barros J, Moura DC (2016) LASP: look-ahead spatial protocol for vehicular multi-hop communication. IEEE Vehicular Networking Conference (VNC), Columbus, OH, pp 1–8

  20. 20.

    Copeland R (2015) Automotive context-aware policy system for car connectivity requests. IEEE International conference on intelligence in next generation networks, pp 128–135

  21. 21.

    Qiu H, Chen J, Jain S, Jiang Y, McCartney M, Kar G, Bai F, Grimm DK, Gruteser M, Govindan R (2018) Towards robust vehicular context sensing. IEEE Trans Veh Technol 67(3):1909–1922

    Article  Google Scholar 

  22. 22.

    Shah SC, Nizamani QUA, Chaudhdary SH, Park MS (2012) An effective and robust two-phase resource allocation scheme for interdependent tasks. Mobile ad hoc computational grids, Journal of Parallel and Distributed Computing 72(12): pp 1664–1679, December 2012

  23. 23.

    Janczukowicz E, Braud A, Tuffin S, Fromentoux G, Bouabdallah A, Bonnin JM (2015) Specialized network services for WebRTC TURN-based architecture proposal. ACM 978-1-4503-3477-8/15/04

  24. 24.

    Punnoose RJ, Tseng RS, Wang S, Nikitin PV, Schlesinger TE, Stancil DD (2001) Communications resources management for advanced telematics applications. IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585), Oakland, CA, pp 1056–1060

  25. 25.

    Das GK, Das S, Nandy SC, Sinha BP (2006) Efficient algorithm for placing a given number of base stations to cover a convex region. J Parallel Distrib Comput 66:1353–1358

    Article  MATH  Google Scholar 

  26. 26.

    Kobayashi K, Shishido H, Kameda Y, Kitahara I (2017) Method to generate disaster-damage map using 3D photometry and crowd sourcing. IEEE international conference on big data

Download references

Author information

Affiliations

  1. Core Viewpoint Ltd, Kenilworth, UK

    Rebecca Copeland & Michael Copeland

  2. Institut Mines Telecom, Paris, France

    Shohreh Ahvar & Noel Crespi

  3. VeDeCom, Versailles, France

    Oyunchimeg Shagdar

  4. Transatel, Paris, France

    Romain Durand

Authors
  1. Rebecca Copeland
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Michael Copeland
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shohreh Ahvar
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Noel Crespi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Oyunchimeg Shagdar
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Romain Durand
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rebecca Copeland.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Copeland, R., Copeland, M., Ahvar, S. et al. Automotive virtual edge communicator (AVEC) with vehicular inter-agent service orchestration and resourcing (ViSOR). Ann. Telecommun. 74, 655–662 (2019). https://doi.org/10.1007/s12243-019-00719-5

Download citation

Keywords

  • MEC
  • NFV
  • PPDR
  • MCS
  • ITS
  • Blockchain