Paper Info
Title
A Swarm-based Unmanned Aerial Vehicle Approach for Video Delivery of Mobile Objects
Abstract
Floods are the most frequent type of natural disaster, and it is crucial to search and track the objects transported by the water flows, such as humans, animals, vehicles, and debris. The use of Unmanned Aerial Vehicles (UAVs) is essential in disaster scenarios to help first responders in determining correct procedures in terms of searching, tracking, and rescuing the victims, as well as in defining the actions to minimize the risks in a sustainable and timely manner. However, the tracking of mobile objects for UAVs is challenging because it is necessary to change the UAVs' topology frequently to organize them according to the target object's new location and the rescue team's position. It is also mandatory to assure the distribution of real-time video flows with a high-quality level and a minimal delay in mobile environments and save scarce energy power. This paper proposes a swarm-based and mobility prediction algorithm for UAVs, called SUAV, to efficiently orchestrate UAVs to track mobile objects in flooding scenarios while saving energy and delivering real-time videos with Quality of Service (QoS) and Quality of Experience (QoE) assurance to first responders. Simulation results present the impact and the benefits of our proposal in delivering videos with QoE and QoS support compared to state-of-the-art approaches.
Year
DOI
Venue
2021
10.1109/ICC42927.2021.9500393
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021)
Keywords
DocType
ISSN
tracking, video, disaster, UAV, swarm, energy
Conference
1550-3607
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Iago Medeiros121.43
Boukerche, A.26116.98
Eduardo Cerqueira357269.85