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Special Issue "Unmanned Aerial Systems and Sensor Networks"

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

Deadline for manuscript submissions: 30 June 2019

Special Issue Editor

Guest Editor
Dr. José Ramiro Martínez-De-Dios

Department of Automation and Systems Engineering, University of Seville, Sevilla, Spain
Website 1 | Website 2 | E-Mail
Phone: (34) 954487357
Fax: (34) 954487340
Interests: robot perception, cooperative perception, multi-robot systems, robot–sensor network cooperation, localization/mapping, SLAM, aerial robots

Special Issue Information

Dear Colleagues,

In the last years, different technological fields have been integrated into the broad context of the Internet-of-Things (IoT). The miniaturization and advances in sensors, computing and wireless intercommunication have boosted the development of sensor networks (SNs) with a very important impact on many applications and sectors. Also, the development of unmanned aerial systems (UAS) has revolutionized many sectors and originated new applications in many fields with a very high impact on society.

UAS and SN technologies can be combined with very interesting synergies for many problems providing unprecedented capabilities for many problems and applications. The cooperation between UAS and static and/or mobile SNs, the combined perception between local measurements from SNs and long-range measurements from UAS, the mobility of UAS for transporting and deploying SN nodes or for collecting measurements gathered by SNs are only a few examples. However, the cooperation between UAS and static and mobile SNs is far from being solved and poses unanswered questions not only in UAS–SN integration, cooperation schemes, communication, algorithms, protocols, perception techniques, planning of UAS and static and/or mobile SN or security issues, but also in devices and hardware design, implementation, real-world deployments and new applications.

This Special Issue will publish innovative works that explore new trends, frontiers and challenges in the field of UAS–SN cooperation, including new architectures, techniques and protocols, as well as implementation issues, devices, real-world deployments and new applications.

Topics of interest include, but are not limited to:

  • Architectures and UAS–SN integration
  • Cooperation between UAS and static SNs
  • Cooperation between UAS and networked ground robots
  • UAS–SN communication models
  • UAS–SN modeling, simulation and performance
  • SN algorithms for integration with UAS
  • UAS control and planning for integration with SN
  • UAS–SN perception
  • Security issues and protocols
  • Devices and hardware design
  • Testbeds
  • Implementation issues
  • Real-world deployments and lessons learnt
  • Applications: data collection, wireless aerial networks, target detection, smart cities, structural monitoring, earth/crop monitoring, animal monitoring, among many others

Dr. José Ramiro Martínez-De-Dios
Guest Editor

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.


  • Internet of Things
  • Sensor Networks
  • Unmanned Aerial Systems
  • Ubiquitous Systems

Published Papers (1 paper)

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Open AccessArticle Profit-Driven Adaptive Moving Targets Search with UAV Swarms
Sensors 2019, 19(7), 1545; https://doi.org/10.3390/s19071545
Received: 28 February 2019 / Revised: 26 March 2019 / Accepted: 27 March 2019 / Published: 30 March 2019
PDF Full-text (1895 KB) | HTML Full-text | XML Full-text
This paper presents a novel distributed algorithm for a moving targets search with a team of cooperative unmanned aerial vehicles (UAVs). UAVs sense targets using on-board sensors and the information can be shared with teammates within a communication range. Based on local and [...] Read more.
This paper presents a novel distributed algorithm for a moving targets search with a team of cooperative unmanned aerial vehicles (UAVs). UAVs sense targets using on-board sensors and the information can be shared with teammates within a communication range. Based on local and shared information, the UAV swarm tries to maximize its average observation rate on targets. Unlike traditional approaches that treat the impact from different sources separately, our framework characterizes the impact of moving targets and collaborating UAVs on the moving decision for each UAV with a unified metric called observation profit. Based on this metric, we develop a profit-driven adaptive moving targets search algorithm for a swarm of UAVs. The simulation results validate the effectiveness of our framework in terms of both observation rate and its adaptiveness. Full article
(This article belongs to the Special Issue Unmanned Aerial Systems and Sensor Networks)

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