Drone assisted flying ad-hoc networks: mobility and service oriented modeling using neuro-fuzzy

Kumar, K., Kumar, S., Kaiwartya, O. ORCID: 0000-0001-9669-8244, Kashyap, P.K., Lloret, J. and Song, H., 2020. Drone assisted flying ad-hoc networks: mobility and service oriented modeling using neuro-fuzzy. Ad Hoc Networks, 106: 102242. ISSN 1570-8705

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Flying ad-hoc networks enable vast of IoT services while maintaining communication among the ground systems and flying drones. The domain research is focusing on flying networks assisted data centric IoT applications while integrating the benefits and services of aerial objects such as unmanned aerial vehicle and drones. Considering the growing market significance of drone centric flying networ ks, quality of ser- vice provisioning is one of the most leading research themes in flying ad-hoc networks. The related liter- ature majorly relies on centralized base station monitored communications. Towards this end, this paper proposes a drone assisted distributed routing framework focusing on quality of service provision in IoT environments (D-IoT). The aerial drone mobility and parameters are modeled probabilistically focusing on highly dynamic flying ad-hoc networks environments. These drone centric models are utilized to develop a complete distributed routing framework. Neuro-fuzzy interference system has been employed to as- sist in reliable and efficient route selection. A comparative performance evaluation attests the benefits of the proposed drone assisted routing framework. It is evident that D-IoT outperforms the state-of-the-art techniques in terms of number of network performance metrics in flying ad-hoc networks environments.

Item Type: Journal article
Publication Title: Ad Hoc Networks
Creators: Kumar, K., Kumar, S., Kaiwartya, O., Kashyap, P.K., Lloret, J. and Song, H.
Publisher: Elsevier BV
Date: September 2020
Volume: 106
ISSN: 1570-8705
S1570870520301062Publisher Item Identifier
Divisions: Schools > School of Science and Technology
Record created by: Linda Sullivan
Date Added: 02 Jul 2021 07:44
Last Modified: 06 Jun 2022 03:00
URI: https://irep.ntu.ac.uk/id/eprint/43291

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