Fwd: [TCCC-ANNOUNCE] [Call for Papers] ACM DroNet 2021
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Von: DroNet21 ACM acmdronet21@gmail.com Datum: 12. Mai 2021 um 00:05:02 MESZ An: tccc-announce@comsoc.org Betreff: [TCCC-ANNOUNCE] [Call for Papers] ACM DroNet 2021 Antwort an: DroNet21 ACM acmdronet21@gmail.com
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DroNet 2021 Call for Papers
The 7th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications Co-located with ACM MobiSys 2021
Robot vehicle platforms, often called “drones”, offer exciting new opportunities for mobile computing. Autonomous cooperative systems, made of intelligent devices (such as drones), may deploy and optimize the network to improve its coverage, build routes and fix network partition to ensure the best communication performance, reduce energy consumption, and dynamically respond to detected network problems. Innovative solutions are built upon these drone networking primitives to accomplish cost-effective and wide-ranging mission-critical applications, including search and rescue, surveillance, 3D-mapping, farmland and construction monitoring, delivery of light-weight objects and products, and video production.
DroNet welcomes contributions dealing with all facets of drones as mobile computing platforms, including system aspects, theoretical studies, algorithm and protocol design, as well as requirements, constraints, dependability, and regulations. We are particularly looking for papers reporting on experimental results of deployed systems, summaries of challenges or advancements, measurements, and innovative applications. We welcome in particular also contributions from interdisciplinary teams to present robotic work or applications focusing on the communication networks enabling the efficient control and context-awareness of teams of unmanned autonomous vehicles/systems with an emphasis on civilian and aerial applications, while related work on unmanned systems working underwater, in space or on the ground is also invited.
Topics of interest include, but are not limited to:
Novel applications of drones
Drone system design and deployment
Drone ad-hoc networks
Micro flying systems
Aerial communication protocol design
Drone operating systems
Programming systems
MAC and routing protocols for drone fleets
Theoretical analysis and models for drone networks
Solutions for sparse and dense fleets of drones
Spectrum and regulatory issues
Mission and context-aware solutions
Drone coordination
Mobility-aware and 3D communication
Delay-tolerant networks and ferrying
Energy-efficient operation and harvesting
Integration of drones with backend systems
Drone-based sensor networks
Positioning and passive/active localization
Swarm movement, coordination, and behavior
Autonomous flight
Artificial intelligence techniques for drones
Vision and object tracking
Human drone interaction
Cooperative surveillance, smart cameras and sensors
Acceptance, security, and privacy aspects
Identification and Authentication of Drones
Experimental results of aerial communication
Results from prototypes and demonstrations
Drone testbeds
Applications with non-conventional drones including underwater or ground drones
DroNet invites submission of original work not previously published or under review at another conference or journal. Accepted papers will be published by ACM and considered for the Best Paper Award and/or a Best Presentation Award.
Best Paper Award
All papers will be considered for the Best Paper Award. The program committee will select a number of candidates for the award among accepted papers, and select one or more award papers prior to the conference.
Important Dates
Paper submission due: May 21, 2021 (11.59pm AoE)
Camera-ready papers due: June 11, 2021
Workshop date: TBD
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Thank you,
VP Nguyen (UT Arlington)
Jun Han (National University of Singapore)
ACM DroNet’21 Workshop Chairs
IEEE Communications Society Tech. Committee on Computer Communications http://committees.comsoc.org/tccc/ TCCC Announce: For announcements concerning computer networking and communications. tccc-announce@comsoc.org https://comsoc-listserv.ieee.org/
participants (1)
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Lars Wolf