International Conference on Wired/Wireless Internet Communication

WWIC 2015: Wired/Wireless Internet Communications pp 122-135 | Cite as

Adaptive Beaconless Opportunistic Routing for Multimedia Distribution

  • Larissa Pimentel
  • Denis Rosário
  • Marcos Seruffo
  • Zhongliang Zhao
  • Torsten Braun
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9071)


User experience on watching live videos must be satisfactory even under the influence of different network conditions and topology changes, such as happening in Flying Ad-Hoc Networks (FANETs). Routing services for video dissemination over FANETs must be able to adapt routing decisions at runtime to meet Quality of Experience (QoE) requirements. In this paper, we introduce an adaptive beaconless opportunistic routing protocol for video dissemination over FANETs with QoE support, by taking into account multiple types of context information, such as link quality, residual energy, buffer state, as well as geographic information and node mobility in a 3D space. The proposed protocol takes into account Bayesian networks to define weight vectors and Analytic Hierarchy Process (AHP) to adjust the degree of importance for the context information based on instantaneous values. It also includes a position prediction to monitor the distance between two nodes in order to detect possible route failure.


AHP FANETs Beaconless OR QoE support 


  1. 1.
    Bekmezci, I., Sahingoz, O.K., Temel, Ş.: Flying Ad-Hoc networks (FANETs): a survey. Ad Hoc Netw. 11(3), 1254–1270 (2013)CrossRefGoogle Scholar
  2. 2.
    Dobrijevic, O., Kassler, A.J., Skorin-Kapov, L., Matijasevic, M.: Q-POINT: QoE-Driven path optimization model for multimedia services. In: Mellouk, A., Fowler, S., Hoceini, S., Daachi, B. (eds.) WWIC 2014. LNCS, vol. 8458, pp. 134–147. Springer, Heidelberg (2014) Google Scholar
  3. 3.
    Sahingoz, O.K.L.: Mobile networking with UAVs: opportunities and challenges. In: Proceedings of the International Conference on Unmanned Aircraft Systems (ICUAS 2013), pp. 933–941 (2013)Google Scholar
  4. 4.
    Ehsan, S., Hamdaoui, B.: A survey on energy-efficient routing techniques with QoS assurances for wireless multimedia sensor networks. IEEE Commun. Surv. Tutorials 14(2), 265–278 (2012)CrossRefGoogle Scholar
  5. 5.
    Hsu, C.-J., Liu, H.-I., Seah, W.: Survey paper: opportunistic routing - a review and the challenges ahead. Comput. Netw. 55(15), 3592–3603 (2011)CrossRefGoogle Scholar
  6. 6.
    Heissenbüttel, M., Braun, T., Bernoulli, T., WäLchli, M.: BLR: beacon-less routing algorithm for mobile ad hoc networks. Comput. Commun. 27(11), 1076–1086 (2004)CrossRefGoogle Scholar
  7. 7.
    Saaty, T.: Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process. AHP Series. RWS Publications, Pittsburgh (2000) Google Scholar
  8. 8.
    Li, Y., St-Hilaire, M., Kunz, T.: Improving routing in networks of UAVs via scoped flooding and mobility prediction. In: Proceedings of the IFIP Wireless Days (WD 2012), pp. 1–6. IEEE (2012)Google Scholar
  9. 9.
    Costa, R., Rosário, D., Cerqueira, E., Santos, A.: Enhanced connectivity for robust multimedia transmission in UAV networks. In: Proceedings of the IFIP Wireless Days Conference (WD 2014), Rio de Janeiro, Brazil, November 2014. IEEE (2014)Google Scholar
  10. 10.
    Baccour, N., Koubâ, A., Youssef, H., Alves, M.: Reliable link quality estimation in low-power wireless networks and its impact on tree-routing. Ad Hoc Netw. 27, 1–25 (2014)CrossRefGoogle Scholar
  11. 11.
    Rosário, D., Zhao, Z., Santos, A., Braun, T., Cerqueira, E.: A beaconless opportunistic routing based on a cross-layer approach for efficient video dissemination in mobile multimedia IoT applications. Comput. Commun. 45(1), 21–31 (2014)CrossRefGoogle Scholar
  12. 12.
    Zhao, Z., Braun, T., Rosário, D., Cerqueira, E.: CAOR: context-aware adaptive opportunistic routing in mobile ad-hoc networks. In: Proceedings of the 7th IFIP Wireless and Mobile Networking Conference (WMNC 2014), pp. 1–8. IEEE (2014)Google Scholar
  13. 13.
    Lohier, S., Rachedi, A., Ghamri-Doudane, Y.: A cost function for QoS-Aware routing in multi-tier wireless multimedia sensor networks. In: Pfeifer, T., Bellavista, P. (eds.) MMNS 2009. LNCS, vol. 5842, pp. 81–93. Springer, Heidelberg (2009) CrossRefGoogle Scholar
  14. 14.
    Hanini, M., Haqiq, A., Berqia, A.: Multicriteria queuing model to improve intra-user multi-flow QoS in wireless cellular networks. In: Wireless Systems, and Mobile Computing, Multidisciplinary Perspectives on Telecommunications (2014)Google Scholar
  15. 15.
    Rosário, D., Zhao, Z., Silva, C., Cerqueira, E., Braun, T.: An OMNeT++ framework to evaluate video transmission in mobile wireless multimedia sensor networks. In: International Workshop on OMNeT++, ICST, March 2013, pp. 277–284 (2013)Google Scholar
  16. 16.
    Videos used for simulations (2015).

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Larissa Pimentel
    • 1
  • Denis Rosário
    • 1
  • Marcos Seruffo
    • 1
  • Zhongliang Zhao
    • 2
  • Torsten Braun
    • 2
  1. 1.Federal University of ParáBelémBrazil
  2. 2.University of BernBernSwitzerland

Personalised recommendations