It is our great pleasure to welcome you to the first edition of the ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use (DroNet 2015). Spurred by recent advances in Micro or Nano aerial vehicles (MAVs and NAVs) of various forms, aerial networking is emerging as a necessary means to control those systems remotely, enable novel real-time applications with them, or even enable fleets of multiple UAVs that need to coordinate their activities.
DroNet 2015 features papers dealing with system aspects and experimental results, summaries of challenges or advancements, measurements, or innovative applications, bringing together many views and a broad range of knowledge related to aerial networking. We hope this first edition will establish DroNet as a forum presenting late breaking research results and experience reports on important topics related to aerial networking. DroNet 2015 already gives researchers a unique opportunity to share their views and results with others interested in the various aspects of this very exciting yet broad area.
20 papers were submitted, from which 8 were accepted as full papers (40% acceptance rate). The program also includes one keynote presentation by Prof. David Grace entitled "Aerial Platform based Wireless Communications - Will the Myth now become Reality?" and a poster track chaired by Dr. Domenico Giustiniano (IMDEA Networks Institute) which consists of 4 poster papers. We will conclude with a discussion about the future of the workshop and give an outlook on key challenges and research directions. We hope that these proceedings will serve as a valuable reference for both researchers and practitioners.
Proceeding Downloads
Aerial Platform based Wireless Communications: Will the Myth now become Reality?
Aerial platforms have for many years promised to revolutionise the way wireless communications is delivered, but as yet little technology is available. However, recent advances, especially in the aeronautical technology, means that this promising means ...
Krypto: Assisting Search and Rescue Operations using Wi-Fi Signal with UAV
Natural disasters affect thousands of people every year. In a large disaster area, search and rescue operations can face great difficulties to locate victims. In this paper, we propose a system, called Krypto, with UAV to assist search and recue ...
Next-Hop Decision-Making in Mobility-Controlled Message Ferrying Networks
Message ferries support delay-tolerant networking in scenarios where nodes are too far from each other to communicate directly. We study scenarios where a data ferry moves between a fixed set of stationary nodes not connected otherwise. Thus, ferrying ...
Analysis of Harmful Interference to and from Aerial IEEE 802.11 Systems.
Civil Unmanned Aerial Vehicles (UAVs) enable a manifold of exciting new services. UAVs are about to be part of our everyday lives. The range of applications is very broad, ranging from swarms of UAVs that can be used for 3D modeling and surveillance of ...
A Quadcopter Controller to Maintain Radio Link Quality
- Mohammed Ayyoob Ahamed Hamza,
- Chamath Keppitiyagama,
- Kasun de Zoysa,
- Venkatraman Iyer,
- Kasun Hewage,
- Thiemo Voigt
The excellent maneuverability and the availability of a large number of sensors including good quality video cameras make quadcopters attractive for surveillance systems. Most video surveillance systems need a real-time high quality video stream from ...
Captain Buzz: An All-Smartphone Autonomous Delta-Wing Drone
Fully autonomous hobbyist drones are typically controlled using bespoke microcontrollers, or general purpose low-level controllers such as the Arduino[1]. However, these devices only have limited compute power and sensing capabilities, and do not easily ...
An Autonomous Multi-UAV System for Search and Rescue
- Jürgen Scherer,
- Saeed Yahyanejad,
- Samira Hayat,
- Evsen Yanmaz,
- Torsten Andre,
- Asif Khan,
- Vladimir Vukadinovic,
- Christian Bettstetter,
- Hermann Hellwagner,
- Bernhard Rinner
This paper proposes and evaluates a modular architecture of an autonomous unmanned aerial vehicle (UAV) system for search and rescue missions. Multiple multicopters are coordinated using a distributed control system. The system is implemented in the ...
Face Recognition on Drones: Issues and Limitations
Drones, as known as unmanned aerial vehicles (UAV), are aircrafts which can perform autonomous pilot. They can easily reach locations which are too difficult to reach or dangerous for human beings and collect images from bird's-eye view through aerial ...
Virtual Tourism with Drones: Experiments and Lag Compensation
Tourism always involves physical movement between places, an activity that may be cumbersome, expensive, or even dangerous. Virtual tourism aims at reducing limitations by recreating real touristic venues in computers as 3D models. However, virtual ...
Experimental Validation of Efficient Static Trajectories for the Localization of Wireless Nodes in a Mixed Indoor-Outdoor Scenario Using an Unmanned Aerial Vehicle
This paper concentrates on the adaptation of several state-of-the-art static trajectories. The so called Triangle and Circle trajectories are investigated in real-world experiments using a single unmanned aerial vehicle serving as a mobile anchor. ...
Drone Indoor Self-Localization
Drones are becoming more and more popular for their possible use in different scenarios, not only outdoor, but even indoor. In this context, indoor self-localization may become crucial and, clearly, GPS is not an option. In this poster we discuss a ...
Epidgeons: Combining Drones and DTNs Technologies to Provide Connectivity in Remote Areas
In certain geographical areas such as the rural areas or the developing regions, the lack of infrastructure, the temporary nature of the connections and the limited access to fixed public networks does not allow the use of all the advantages offered by ...
Cited By
- Chen L, Xiong J, Chen X, Lee S, Chen K, Han D, Fang D, Tang Z and Wang Z WideSee Proceedings of the 17th Conference on Embedded Networked Sensor Systems, (258-270)
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Li Y and Zhu T (2016). Using Wi-Fi Signals to Characterize Human Gait for Identification and Activity Monitoring 2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 10.1109/CHASE.2016.20, 978-1-5090-0943-5, (238-247)
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
DroNet '23 | 8 | 8 | 100% |
DroNet '22 | 7 | 7 | 100% |
DroNet '16 | 15 | 6 | 40% |
DroNet '15 | 20 | 8 | 40% |
Overall | 50 | 29 | 58% |