[agents] Wi-DroIT 2020 – 2nd International Workshop on Wireless Drones over Internet of Things
Francesco Betti Sorbelli
francesco.betti.sorbelli at gmail.com
Mon Feb 3 23:27:43 EST 2020
Wi-DroIT 2020 – 2nd International Workshop on Wireless Drones over Internet
of Things
Marina Del Rey, Los Angeles, CA, USA
May 25-27, 2020
Link: https://sites.google.com/view/widroit2020
in conjunction with the:
16th International Conference on Distributed Computing in Sensor Systems
(DCOSS 2020)
Workshop papers will get 8 pages in the IEEE proceedings, in the same
volume with the DCOSS papers.
Important Dates
Paper Submission: 15th March
Acceptance Notification: TBD
Camera Ready: 15th April
Early Registration: TBD
Scope
For this workshop, we search for papers that combine design of algorithms,
optimization, and test-bed to develop the theoretical foundations for the
drone systems operating in symbiosis with WSN in IoT applications. The
numerous emergent applications nurtured by IoT may require an
interdisciplinary approach, involving techniques from algorithm foundations
as well as different areas, like robotics, artificial intelligence,
mathematical modeling. Applications in complex domains lead to situations
where multiple optimization objectives should be accounted in the proposed
solutions. Decentralized and distributed, robust and secure algorithms are
searched for drones systems that operate in rapidly-changing, uncertain,
and potentially adversarial environments.
Topics (Not limited to)
Autonomous WSN via Drones
Topology monitoring of WSN with Drones
Build Remote Sensing Networks in emergency context via Drones
Communication architectures and protocols of Drones over IoT
Modeling and analysis of Drone systems over IoT
Theoretical foundations for communication routing beyond line-of-sight of
Drones
Communication and networking aspects of cyber-physical systems
Theoretical foundations for parcel delivery using Drones
Drones/UAVS for monitoring network properties (coverage, connectivity) in
emergency
Drones for detecting or discovering events
Facility location problem and Resource Management for Drone systems
4G-5G networks and UAVs
UAV assisted networks
Drones for environment (crop/forest) monitoring
Constraints and multi-objective optimization problems in UAVs
Localization, navigation, and dynamic path planning of UAVs over IoT
Ground Localization with Drones
Cooperative control of multiple UAVs
UAV secure communication techniques
Optimal UAV deployment strategies
High-accuracy navigation techniques
Real-time surveillance techniques
Performance, scalability, energy, and reliability in Drones' systems
Anomaly detection, network monitoring and forecasting
Trust, security, and privacy
Experimental results, simulators and test beds for drone networks
Cooperative Rendezvous for secure drone to drone communications
Secure communication between the drone and the ground networks
Program Chairs
Wan Du, UC Merced, CA, USA; wdu3 at ucmerced.edu
Enrico Natalizio, University of Lorraine/LORIA, France;
enrico.natalizio at loria.fr
Cristina M. Pinotti, University of Perugia, Italy; cristina.pinotti at unipg.it
Submission instructions
Authors are invited to submit original unpublished manuscripts reporting
applied or technical research. Accepted and presented papers will be
published in the same volume with the DCOSS 2020 conference proceedings.
All papers will be reviewed by Technical Program Committee members and
selected papers will be organized for presentation at the workshop.
All submissions will be exclusively electronic with a maximum length of
eight (8) printed pages including title, authors, abstract, figures,
diagrams, references and attachments. Articles must be prepared in English
following the IEEE two-column Manuscript Templates for Conference
Proceedings (available here) and submitted in PDF format only.
Submission link: https://easychair.org/conferences/?conf=widroit2020
--------------------------------
Publicity Chair
Francesco Betti Sorbelli, Missouri Science and Technology University,
Rolla, MO, USA; francesco.bettisorbelli at mst.edu
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