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Special Issue "Optimization and Communication in UAV Networks"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 30 September 2019.

Special Issue Editors

Guest Editor
Dr. Nathalie Mitton

Inria, 40, avenue Halley, 59650 Villeneuve d’Ascq, France
Website | E-Mail
Interests: wireless networks; ad hoc, sensor and robot networks; RFID, MAC layer, routing protocols, self-organization, self-deployment, cyber-physical systems; Internet of Things; research experimentation and testbed
Guest Editor
Dr. Christelle Caillouet

Université Côte d’Azur, CNRS, Inria, I3S, France
Website | E-Mail

Special Issue Information

Dear Colleagues,

With new technological advances, UAVs are becoming a reality and attract more and more attention. UAVs or drones are flying devices that can be remotely controlled or, more recently, completely autonomous. They can be used alone or as a fleet, and in a large set of applications: From rescue operations to event coverage going through servicing other networks such as sensor networks for replacing, recharging, or data offloading. They are hardware-constrained since they cannot be too heavy and rely on batteries. Depending on their use (alone or in a swarm) and the targeted applications, they must evolve differently and meet different requirements (energy preservation, delay of covering an area, coverage, limited number of devices, etc.) with limited resources (energy, speed, etc.).
Yet, their use still raises a large set of new exciting challenges, in terms of trajectory optimization, positioning, when they are used alone or in cooperation, coordination, and communication when they evolve in swarm, just to name a few.
This Special Issue calls for any new original submissions that deal with UAV or UAV swarm optimization or communication aspects.

Dr. Nathalie Mitton
Dr. Christelle Caillouet
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • UAV
  • Drones
  • Wireless
  • Self-organization
  • Optimization
  • Swarm
  • Communication
  • Algorithms

Published Papers (1 paper)

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Open AccessArticle
A Sensor-Driven Analysis of Distributed Direction Finding Systems Based on UAV Swarms
Sensors 2019, 19(12), 2659; https://doi.org/10.3390/s19122659
Received: 29 April 2019 / Revised: 6 June 2019 / Accepted: 8 June 2019 / Published: 12 June 2019
PDF Full-text (3013 KB) | HTML Full-text | XML Full-text
This paper reports on the research of factors that impact the accuracy and efficiency of an unmanned aerial vehicle (UAV) based radio frequency (RF) and microwave data collection system. The swarming UAVs (agents) can be utilized to create micro-UAV swarm-based (MUSB) aperiodic antenna [...] Read more.
This paper reports on the research of factors that impact the accuracy and efficiency of an unmanned aerial vehicle (UAV) based radio frequency (RF) and microwave data collection system. The swarming UAVs (agents) can be utilized to create micro-UAV swarm-based (MUSB) aperiodic antenna arrays that reduce angle ambiguity and improve convergence in sub-space direction-of-arrival (DOA) techniques. A mathematical data model is addressed in this paper to demonstrate fundamental properties of MUSB antenna arrays and study the performance of the data collection system framework. The Cramer–Rao bound (CRB) associated with two-dimensional (2D) DOAs of sources in the presence of sensor gain and phase coefficient is derived. The single-source case is studied in detail. The vector-space of emitters is exploited and the iterative-MUSIC (multiple signal classification) algorithm is created to estimate 2D DOAs of emitters. Numerical examples and practical measurements are provided to demonstrate the feasibility of the proposed MUSB data collection system framework using iterative-MUSIC algorithm and benchmark theoretical expectations. Full article
(This article belongs to the Special Issue Optimization and Communication in UAV Networks)

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