Social-Based Hybrid Dissemination Strategy in Heterogeneous Opportunistic Networks

  • Hua Chen
  • Yong Zhang
  • Gang Cheng
  • Baoling Liu
  • Xu Lei
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8351)


Opportunistic network is a special class of Mobile Ad-hoc Networks (MANETs) in which connectivity between nodes is intermittent. Nodes in opportunistic network transmit data in store-carry-and-forward paradigm. Data dissemination usually processes in publish/subscribe model. A hybrid dissemination mechanism is proposed in this paper which depends on the phenomenon that nodes within community may always act as the nodes in MANETs. This solution maintains an Ad-Hoc sub-network in communities and thus provides high reliability, while other parts communicate in opportunistic approach. To achieve the efficient data transmission, a community heads solution is devised to integrate subscriptions and schedule data transmission direction. Meanwhile, relationship between nodes and communities is used to select relays for forwarding delegation. The performance of this approach is verified by experimental simulation.


opportunistic network social-based hybrid dissemination 


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  1. 1.
    Bujari, A.: A survey of opportunistic data gathering and dissemination techniques. In: Proceedings of the 21st International Conference on Computer Communications and Networks (ICCCN), Munich, Germany, July 30-August 2, pp. 1–6. IEEE, Piscataway (2012)Google Scholar
  2. 2.
    Huang, T., Lee, C., Chen, L.: PRoPHET+: an adaptive PRoPHET-based routing protocol for opportunistic network. In: Proceedings of Advanced Information Networking and Applications (AINA), Perth, Australia, Apr 20-23, pp. 112–119. IEEE, Piscataway (2010)Google Scholar
  3. 3.
    Boldrini, C., Conti, M., Passarella, A.: Design and performance evaluation of ContentPlace, a social-aware data dissemination system for opportunistic networks. Computer Networks 54(5), 589–604 (2009)Google Scholar
  4. 4.
    Yoneki, E., Hui, P., Chan, S., Crowcroft, J.: A socio-aware overlay for publish/subscribe communication in delay tolerant networks. In: Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems (MSWiM 2007), Chania, Crete Island, Greece, October 22-26, pp. 225–234. ACM, NY (2007)CrossRefGoogle Scholar
  5. 5.
    Ciobanu, R.-I., Dobre, C., Cristea, V.: A data dissemination algorithm for opportunistic networks. In: Proceedings of the 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), Timisoara, Romania, September 26-29, pp. 299–305. IEEE, Piscataway (2011)Google Scholar
  6. 6.
    Musolesi, M., Mascolo, C.: A community based mobility model for Ad Hoc network research. In: Proceedings of the 2nd International Workshop on Multi-hop ad hoc networks: from theory to reality (REALMAN 2006), Florence, Italy, May 25, pp. 31–38. ACM, NY (2006)Google Scholar
  7. 7.
    Hui, P., Crowcroft, J.: How small labels create big improvements. In: Proceedings of the Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom 2007), White Plains, NY, USA, March 19-23, pp. 65–70. IEEE, NY (2007)CrossRefGoogle Scholar
  8. 8.
    Boldrini, C., Boldrini, C., Conti, M., Jacopini, J., Passarella, A.A.P.A.: HiBOp: a history based routing protocol for opportunistic networks. In: Proceedings of IEEE International Symposium on World of Wireless, Mobile and Multimedia Networks (WoWMoM), Madrid, Spain, June 18-21, pp. 1–12. IEEE, NY (2007)Google Scholar
  9. 9.
    Wang, N., Yoneki, E.: Impact of social structure on forwarding algorithms in opportunistic networks. In: Proceeding of International Conference on Selected Topics in Mobile and Wireless Networking (iCOST), Shanghai, P R China, October 10-12, pp. 82–88 (2011)Google Scholar
  10. 10.
    Newman, M.: Detecting community structures in networks. The Eu-ropean Physical Journal B - Condensed Matter and Complex Systems 38(2), 321–330 (2004)CrossRefGoogle Scholar
  11. 11.
    Borgia, E., Conti, M., Passarella, A.: Autonomic detection of dynamic social communities in opportunistic networks. In: Proceedings of the 10th IFIP Annual Mediterranean In Ad Hoc Networking Workshop (Med-Hoc-Net), Favignana Island, Sicily, Italy, June 12-15, pp. 142–149 (2011)Google Scholar
  12. 12.
    Hui, P., Yoneki, E., Chan, S.-Y., Crowcroft, J.: Distributed community detection in delay tolerant networks. In: Proceedings of 2nd ACM/IEEE International Workshop on Mobility in the Evolving Internet Architecture (MobiArch 2007), Kyoto, Japan, August 27, vol. 7. ACM, NY (2007)Google Scholar
  13. 13.
    Xu, K., Yang, G.H., Li, V.O.K., Chan, S.Y.: Detecting dynamic communities in opportunistic networks. In: Proceedings of the First International Conference on Ubiquitous and Future Networks(ICUFN 2009), University of Hong Kong, Hong Kong, China, June 7-9, pp. 159–164. IEEE, Piscataway (2009)Google Scholar
  14. 14.
    Boldrini, C., Passarella, A.: HCMM: Modelling spatial and temporal properties of human mobility driven by users’ social relationships. Computer Communication 33(9), 1056–1074 (2010)CrossRefGoogle Scholar
  15. 15.
    Hsu, W., Spyropoulos, T., Psounis, K., Helmy, A.: Modeling time-variant user mobility in wireless mobile networks. In: Proceedings of the 26th IEEE International Conference on Computer Communications (INFOCOM), Anchorage, Alaska, USA, May 6-12, pp. 758–766. IEEE, Piscataway (2007)Google Scholar
  16. 16.
    Mei, A., Stefa, J.: Swim:a simple model to generate small mobile worlds. In: Proceedings of the INFOCOM, Rio de Janeiro, Brazil, April 19-25, pp. 2106–2113. IEEE, Piscataway (2009)Google Scholar
  17. 17.
    Ebadi, S., Ghasembaglou, M., Navin, A.H., Mirnia, M.K.: Energy balancing in wireless sensor networks with selecting two cluster-heads in hierarchical clustering. In: Proceedings of International Conference on Computational Intelligence and Communication Networks (CICN), Bhopal, India, November 26-28, pp. 230–233. IEEE, Piscataway (2010)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Hua Chen
    • 1
  • Yong Zhang
    • 1
  • Gang Cheng
    • 1
  • Baoling Liu
    • 2
  • Xu Lei
    • 3
  1. 1.School of Electronic EngineeringBeijing University of Posts and TelecommunicationsBeijingChina
  2. 2.Key Laboratory of Universal Wireless Communications, Ministry of Education,Wireless Technology Innovation InstituteBeijing University of Posts and TelecommunicationsChina
  3. 3.Potevio International Company LimitedChina

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