A Flying Mesh Network for Ubiquitous Network Access in IoT Environments

  • Laila AbouzaidEmail author
  • Othman Benhmammouch
  • Essaid SabirEmail author
  • Ahmed Errami
  • Mohammed Khaldoun
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 797)


To ensure connectivity in a large-scale networks, we consider a multiple drones flying mesh network (DFMN) built on IEEE 802.11s. In DFMN, drones fly above a target area, collecting data from Internet of Things (IoT) devices and forward it throughout drones in a multi-hop fashion till arriving to the processing unit. Moreover, each drone generates its own packets, and they mainly contain hello messages and beacon frames advertising their presence. In this paper, we propose a queueing framework which analyze the performance of such a mesh network in view of forwarding queues’ stability and end-to-end throughput.


IoT devices UAVs Throughput Stability Weighted fair queueing 


  1. 1.
  2. 2. by Facebook.
  3. 3.
    Mozaffari M, Saad W, Bennis M, Debbah M (2016) Mobile Internet of Things: Can UAVs provide an energy-efficient mobile architecture?Google Scholar
  4. 4.
    Mozaffari M, Saad W, Bennis M, Debbah M (2016) Efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage. IEEE Commun Lett 20(8):1647–1650CrossRefGoogle Scholar
  5. 5.
    Sabir E, Kobbane A, Koulali M, Erradi M (2013) Design of an annular ring ferry-assisted topology for wireless sensor networks. In: IFIP WMNC’2013Google Scholar
  6. 6.
    Ralph E, El-Azouzi R (2007) Stability-throughput analysis in a multi-hop ad hoc networks with weighted fair queueingGoogle Scholar
  7. 7.
    Bianchi G (2000) Performance analysis of the IEEE 802.11 distributed coordination function. IEEE J Sel Areas Commun 18(3):535–574CrossRefGoogle Scholar
  8. 8.
    El-Azouzi R, Sabir E, El-Fenni R, Samanta S (2014) A Unified NET-MAC-PHY cross-layer framework for performance evaluation of multi-hop Ad hoc WLANs. EAI Endorsed Trans Mobile Commun Appl 1:1–14CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.NEST Research Group, ENSEMHassan II University of CasablancaCasablancaMorocco
  2. 2.International University of CasablancaCasablancaMorocco

Personalised recommendations