Extreme Cooperation with Smart Things

  • Seng W. Loke
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)


The development of energy efficient long and short range networking technologies among mobile devices is enabling the device mesh mentioned in Chap. 1, between all types of mobile devices, including smart vehicles and smart drones, e.g., vehicle-to-vehicle, vehicle-to-pedestrian, pedestrian-to-pedestrian, vehicle-to-bicycle, bicycle-to-bicycle, drone-to-vehicle, drone-to-drone, drone-to-pedestrian, and so on. Over such a networked mesh of devices can be a range of different cooperation protocols, specific to particular applications, from vehicles talking to each other to improve safety and situation-awareness, to vehicles talking about the route to take in order to avoid congestion.


Mobile Device Dedicate Short Range Communication Human Cooperation Cooperation Protocol Favour Exchange 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    A. Aliedani, S. W. Loke, A. Desai, and P. Desai. Investigating vehicle-to-vehicle communication for cooperative car parking: The copark approach. In 2016 IEEE International Smart Cities Conference (ISC2), pages 1–8, Sept 2016.Google Scholar
  2. 2.
    L. Atzori, A. Iera, and G. Morabito. From “smart objects” to “social objects”: The next evolutionary step of the internet of things. IEEE Communications Magazine, 52(1):97–105, January 2014.Google Scholar
  3. 3.
    Claudio Borean, Roberta Giannantonio, Marco Mamei, Dario Mana, Andrea Sassi, and Franco Zambonelli. Urban crowd steering: An overview. In Proceedings of the 8th International Conference on Internet and Distributed Computing Systems - Volume 9258, IDCS 2015, pages 143–154, New York, NY, USA, 2015. Springer-Verlag New York, Inc.Google Scholar
  4. 4.
    Robin Chase. Peers Inc: How People and Platforms Are Inventing the Collaborative Economy and Reinventing Capitalism. PublicAffairs, 2015.Google Scholar
  5. 5.
    Prajakta Desai, Seng Wai Loke, Aniruddha Desai, and Jugdutt Singh. CARAVAN: congestion avoidance and route allocation using virtual agent negotiation.IEEE Trans. Intelligent Transportation Systems, 14(3):1197–1207, 2013.Google Scholar
  6. 6.
    S. W. Loke, M. E. Orlowska, S. Weerawarana, M. P. Papazoglou, J. Yang, Service-oriented device ecology workflows. In Proceedings of the Service-Oriented Computing - ICSOC 2003: First International Conference, Trento, Italy, December 15–18, 2003, pages 559–574, Springer, Berlin/Heidelberg. ISBN:978-3-540-24593-3, doi: 10.1007/978-3-540-24593-3_38,
  7. 7.
    T. H. Luan, X. Shen, F. Bai, and L. Sun. Feel bored? join verse! engineering vehicular proximity social networks. IEEE Transactions on Vehicular Technology, 64(3):1120–1131, March 2015.Google Scholar
  8. 8.
    Sabrina Merkel. Building Evacuation with Mobile Devices. KIT Scientific Publishing, 2014.Google Scholar
  9. 9.
    A. Rakotonirainy and S.W. Loke. The socially networked car for safety, efficiency and the climate (abstract). In Proceedings of the International Conference on Traffic and Transport Psychology (ICTTP), 2016.Google Scholar
  10. 10.
    Tim Roughgarden. Twenty Lectures on Algorithmic Game Theory. Cambridge University Press, 2016.Google Scholar
  11. 11.
    H. Seera, S. W. Loke, and T. Torabi. Towards device-blending: Model and challenges. In Advanced Information Networking and Applications Workshops, 2007, AINAW ’07. 21st International Conference on, volume 2, pages 139–146, May 2007.Google Scholar

Copyright information

© The Author(s) 2017

Authors and Affiliations

  • Seng W. Loke
    • 1
  1. 1.School of Information TechnologyDeakin UniversityBurwoodAustralia

Personalised recommendations