›› 2018, Vol. 33 ›› Issue (2): 263-276.doi: 10.1007/s11390-018-1818-3

Special Issue: Artificial Intelligence and Pattern Recognition

• Special Section on Computer Networks and Distributed Computing • Previous Articles     Next Articles

A Flocking-Based on Demand Routing Protocol for Unmanned Aerial Vehicles

Nour El Houda Bahloul1,2, Saadi Boudjit2, Marwen Abdennebi2, Djallel Eddine Boubiche1   

  1. 1 LaSTIC Laboratory, University of Batna 2, Batna 05078, Algeria;
    2 L2TI Laboratory, University of Paris 13, Villetaneuse 93430, France
  • Received:2017-07-09 Revised:2018-01-23 Online:2018-03-05 Published:2018-03-05
  • Contact: 10.1007/s11390-018-1818-3
  • About author:Nour El Houda Bahloul received her M.Sc. degree in computer science from the University of Batna 2, Batna, in 2013. She is currently working towards her Ph.D. degree in computer science jointly at University of Batna 2 and University of Paris 13. Her research interests include wireless vehicular ad hoc network, wireless sensor network, and parallel and distributed protocols

The interest shown by some community of researchers to autonomous drones or UAVs (unmanned aerial vehicles) has increased with the advent of wireless communication networks. These networks allow UAVs to cooperate more efficiently in an ad hoc manner in order to achieve specific tasks in specific environments. To do so, each drone navigates autonomously while staying connected with other nodes in its group via radio links. This connectivity can deliberately be maintained for a while constraining the mobility of the drones. This will be suitable for the drones involved in a given path of a given transmission between a source and a destination. This constraint could be removed at the end of the transmission process and the mobility of each concerned drone becomes again independent from the others. In this work, we proposed a flocking-based routing protocol for UAVs called BR-AODV. The protocol takes advantage of a well known ad hoc routing protocol for on-demand route computation, and the Boids of Reynolds mechanism for connectivity and route maintaining while data is being transmitted. Moreover, an automatic ground base stations discovery mechanism has been introduced for a proactive drones and ground networks association needed for the context of real-time applications. The performance of BR-AODV was evaluated and compared with that of classical AODV routing protocol and the results show that BR-AODV outperforms AODV in terms of delay, throughput and packet loss.

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