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From WiFi Performance Evaluation to Controlled Mobility in Drone Networks

Rémy Grünblatt 1, 2, 3, 4, 5
2 DANTE - Dynamic Networks : Temporal and Structural Capture Approach
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme, IXXI - Institut Rhône-Alpin des systèmes complexes
3 CHROMA - Robots coopératifs et adaptés à la présence humaine en environnements dynamiques
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : Mobility in telecommunication networks is often seen as a hassle that needs to be dealt with: a mobile wireless device has to adapt is trans-mission parameters in order to remain connected to its counterpart(s),as the channel evolves with the device’s movements. Drones, which are unmanned aerial vehicles in the context of this thesis, are no exception.Because of their freedom of movement, their three-dimensional mobility in numerous and varied environments, their limited payload and their energy constraints, and because of the wide range of their real-world applications, drones represent new exciting study objects whose mobility is a challenge. Yet, mobility can also be a chance for drone networks,especially when we can control it. In this thesis, we explore how con-trolled mobility can be used to increase the performance of a drone network, with a focus on IEEE 802.11 networks and small multi-rotor drones. We first describe how mobility is dealt with in 802.11 networks,that is to say using rate adaptation mechanisms, and reverse engineer the rate adaptation algorithm used in the Wi-Fi chipset of the Intel Aero Drone. The study of this rate adaptation algorithm, both experimental and through simulation, through its implementation in the network simulator NS-3, allows its comparison against other well-known algorithms.This highlights how big the impact of such algorithms are for drone networks, with regard to their mobility, and how different the resulting behaviors of each node can be. Therefore, a controlled mobility solution aiming to improve network performances cannot assume much about the behavior of the rate adaptation algorithms. In addition to that, drone applications are diverse, and imposing mobility constraints without crippling a complete pan of these applications is difficult. We therefore propose a controlled mobility solution which leverages the antenna radiation pattern of the drones. This algorithm is evaluated thanks to a customized simulation framework for antenna and drone simulation,based on NS-3. This solution, which works with any rate adaptation algorithm, is distributed, and do not require a global coordination that would be costly. It also does not require a full and complete control of the drone mobility as existing controlled mobility solutions require, which makes this solution compatible with various applications.
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Submitted on : Monday, February 1, 2021 - 10:59:44 AM
Last modification on : Thursday, January 20, 2022 - 5:30:29 PM
Long-term archiving on: : Sunday, May 2, 2021 - 6:56:46 PM


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  • HAL Id : tel-03126953, version 1


Rémy Grünblatt. From WiFi Performance Evaluation to Controlled Mobility in Drone Networks. Networking and Internet Architecture [cs.NI]. Université Claude Bernard Lyon 1, 2021. English. ⟨tel-03126953⟩



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