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1st IEEE LCN Special Track on

Algorithmic Solutions for Drone- and Robot-based Networks (ASDRoNet) 2024

Caen, Normandy, France

October 8-10, 2024

co-located with IEEE LCN 2024

Submission link: click here

Scope

Drones have transformed into versatile tools with applications across agriculture, environmental monitoring, delivery, and surveillance, revolutionizing operations through real-time data collection and efficient task execution in diverse industries. As technology continues to evolve, the integration of robots alongside drones further enhances their capabilities. Robots can collaborate with drones to perform complex tasks and navigate challenging terrains, increasing efficiency and expanding the scope of applications.

However, challenges impede their optimal performance. Limited energy capacity restricts operational time, especially in extended or remote missions. Moreover, the integration of robots introduces additional complexities in coordination, communication, and task distribution between heterogeneous agents. Such challenges can be solved based on a broad spectrum of algorithms, ranging from traditional combinatorial optimization methods to modern machine learning techniques. Algorithms play a pivotal role in enhancing the efficiency and autonomy of drone and robot systems, enabling them to adapt to dynamic environments, optimize resource utilization, and make intelligent decisions in real-time.

For this Special Track, ASDRoNet 2024, we seek submission of high-quality papers addressing both theoretical and practical aspects of drone and robot research. Topics of interest include, but are not limited to, route planning, task allocation, resource management, scheduling, and network design for integrated drone and robot fleets. Furthermore, submissions are encouraged to delve into algorithmic advancements, computational complexity analyses, and real-world case studies that demonstrate the synergy between drones and robots in various applications.

Topics of Interest

Topics of interest include, but are not limited to:

  • Autonomous sensing
  • Topology monitoring
  • Remote sensing networks
  • Communication protocols
  • Modeling and analysis
  • Precision agriculture
  • Crops monitoring in agriculture
  • Bugs monitoring in agriculture
  • Environmental monitoring
  • Autopilot and UAS autonomy
  • Path planning and scheduling
  • Parcel delivery
  • Cellular networks
  • Constrained and multi-objectives problems
  • Sensors localization
  • Tracking techniques
  • Cooperative control of multiple vehicles
  • Cyber-security communications
  • Optimal deployment strategies
  • Test-beds and experimental results
  • Energy-efficient communications
  • Machine learning for communications

Important dates

  • Abstract Submission: June 2, 2024
  • Paper Submission: June 15, 2024
  • Acceptance Notification: July 13, 2024
  • Camera Ready: TBD
  • Early Registration: TBD

Author Information

Authors are invited to submit papers for presentation at the conference, describing original, previously unpublished work, not currently under review by another conference, workshop, or journal. Papers must be submitted electronically to EDAS in PDF format, US-Letter size (not A4), with all fonts embedded (the PDF-A standard meets this requirement). Please format your submission using the IEEE templates found here.

Paper submissions may be up to six (6) camera-ready pages, 10 pt font in two-column IEEE format, excluding bibliography. Papers are expected to describe fully developed ideas with a thorough evaluation.

Note that ASDRoNet does not follow the double-blind review policy. The names and affiliations of all the authors must be present in the submitted manuscript.

Paper registration and submission will be through EDAS.


Committees

Special Track Chairs

Program Committee

  • Lorenzo Palazzetti, PhD Student, University of Florence, Italy
  • Sajjad Ghobadi, Postdoctoral Researcher, University of Perugia, Italy
  • Punyasha Chatterjee, Associate Professor, Jadavpur University, India
  • Alfredo Navarra, Professor, University of Perugia, Italy
  • Leonardo Mostarda, Associate Professor, University of Perugia, Italy

Publicity Chair

  • Lorenzo Palazzetti, PhD Student, University of Florence, Italy

Web Chair

  • Lorenzo Palazzetti, PhD Student, University of Florence, Italy