Tag Archives: search and rescue

Paper accepted in Ad Hoc Networks Journal

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Our paper entitled “Multi-objective path planning for multi-UAV connectivity and area coverage” is accepted for publication in Ad Hoc Networks journal.

In this paper, we propose a multi-drone path planner that jointly optimizes area coverage time and connectivity among the drones. We propose a novel connectivity metric that includes not only percentage connectivity of the drones to GCS, but also the maximum duration of consecutive time that the drones are disconnected from the GCS. To solve this optimization formulation, we propose a multi-objective evolutionary algorithm with novel operations. We use our solver to test single, two and many objective path planning problems and compare our Pareto-optimal solutions to benchmark weighted-sum based solutions.

Paper accepted at IEEE WCNC 2024

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Our paper entitled “Priority-based Dynamic Multi-UAV Positioning for Multi-Target Search and Connectivity” is accepted for publication in IEEE WCNC 2024.

In this work, we propose an event-driven algorithm that integrates a novel connectivity-based prioritization of targets into dynamic positioning and path planning for multi-UAV systems in search and rescue (SAR) missions. Two distinct groups of UAVs are deployed. While search UAVs sense the area of interest as fast as possible, relay UAVs provide connectivity to search UAVs as well as targets depending on their priority level.

Paper accepted at Ad hoc Networks Journal

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Paper entitled “Joint or Decoupled Optimization: Multi-UAV Path Planning for Search and Rescue” is accepted for publication in Ad Hoc Networks Journal within “Drone Network for Post-Earthquake Search and Rescue” project.

Article focuses on path planning of drone teams deployed for search and rescue missions. We compare selected joint and decoupled multi-drone path planning approaches
from mission and connectivity perspectives. We illustrate the trade-off between performance metrics from both viewpoints and show that depending on the available resources (e.g., number of drones) and the search area most suitable planner can change. We also propose a hybrid planner which uses a connectivity-wise better pre-mission plan.

Paper accepted in IEEE Networking Letters

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Paper entitled “Dynamic Relay Selection and Positioning for Cooperative UAV Networks” is accepted for publication in IEEE Networking Letters.

This letter analyzes resource reservation for networking purposes in drone teams deployed for search and rescue missions. Building on a well-known static relay positioning technique that minimizes the number of drones, we propose a positioning and trajectory planning algorithm for relay nodes to provide connectivity to drones that are on a search and rescue mission.