-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] Deadline Extension for ACM DroNet 2020 (until April 10) Datum: Sun, 22 Mar 2020 01:25:15 -0400 Von: Eugene Chai eugene@NEC-LABS.COM Antwort an: Eugene Chai eugene@NEC-LABS.COM An: tccc-announce@COMSOC.ORG

=========================================================== == The 6th ACM DroNet 2020 Call-For-Papers == In Conjunction with ACM MobiSys 2020 == == https://dronetconf.github.io/DroNet2020/DroNet2020.html ===========================================================

* 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 - Experimental results of aerial communication - Results from prototypes and demonstrations - Drone testbeds

* DroNet invites submission of original work not previously published or under review at another conference or journal. The workshop will accept full paper, poster, and demo submissions. 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: April 10, 2020 Notification of acceptance: April 29, 2020 Camera Ready Deadline: May 15, 2020 Workshop date: June 19, 2020

* Technical Program Chairs. Eugene Chai, NEC Laboratories America (eugene@nec-labs.com) Richard Han, University of Colorado (rhan@cs.colorado.edu)

* DroNet 2020 Website More information on DroNet 2020 can be found at https://dronetconf.github.io/DroNet2020/DroNet2020.html

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