Energy-Efficient Swarm Behavior for Indoor UAV Ad-Hoc Network Deployment

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/83688
Información del item - Informació de l'item - Item information
Title: Energy-Efficient Swarm Behavior for Indoor UAV Ad-Hoc Network Deployment
Authors: Aznar Gregori, Fidel | Pujol, Mar | Rizo, Ramón | Pujol, Francisco A. | Rizo Maestre, Carlos
Research Group/s: Informática Industrial e Inteligencia Artificial | UniCAD: Grupo de Investigación en CAD/CAM/CAE de la Universidad de Alicante | Tecnología y Sostenibilidad en Arquitectura
Center, Department or Service: Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial | Universidad de Alicante. Departamento de Tecnología Informática y Computación | Universidad de Alicante. Departamento de Construcciones Arquitectónicas
Keywords: Swarm behavior | Sustainability | Energy model | Ad-hoc network | Swarm deployment
Knowledge Area: Ciencia de la Computación e Inteligencia Artificial | Arquitectura y Tecnología de Computadores | Construcciones Arquitectónicas
Issue Date: 13-Nov-2018
Publisher: MDPI
Citation: Aznar F, Pujol M, Rizo R, Pujol FA, Rizo C. Energy-Efficient Swarm Behavior for Indoor UAV Ad-Hoc Network Deployment. Symmetry. 2018; 10(11):632. doi:10.3390/sym10110632
Abstract: Building an ad-hoc network in emergency situations can be crucial as a primary tool or even when used prior to subsequent operations. The use of mini and micro Unmanned Aerial Vehicles (UAVs) is increasing because of the wide range of possibilities they offer. Moreover, they have been proven to bring sustainability to many applications, such as agriculture, deforestation and wildlife conservation, among others. Therefore, creating a UAV network for an unknown environment is an important task and an active research field. In this article, a mobility model for the creation of ad-hoc networks using UAVs will be presented. This model will be based on pheromones for robust navigation. We will focus mainly on developing energy-efficient behavior, which is essential for this type of vehicle. Although there are in the literature several models of mobility for ad-hoc network creation, we find that either they are not adapted to the specific energy requirements of UAVs or the proposed motion models are unrealistic or not sufficiently robust for final implantation. We will present and analyze the operation of a distributed swarm behavior able to create an ad-hoc network. Then, an analytical model of the swarm energy consumption will be proposed. This model will provide a mechanism to effectively predict the energy consumption needed for the deployment of the network prior to its implementation. Determining the use of the mobility behavior is a requirement to establish and maintain a communication channel for the required time. Finally, this analytical model will be experimentally validated and compared to the Random Waypoint (RWP) mobility strategy.
Sponsor: This work was partially supported by the Ministerio de Economía y Competitividad (Spain), project TIN2013-40982-R, the FEDER funds and the “Red de Investigación en el uso del aprendizaje colaborativo para la adquisición de competencias básicas. El caso Erasmus+ EUROBOTIQUE”, Red ICE3701, curso 2016–2017.
URI: http://hdl.handle.net/10045/83688
ISSN: 2073-8994
DOI: 10.3390/sym10110632
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Peer Review: si
Publisher version: https://doi.org/10.3390/sym10110632
Appears in Collections:INV - UNICAD - Artículos de Revistas
INV - TSA - Artículos de Revistas
INV - i3a - Artículos de Revistas
INV - i3a - Proyecto Erasmus+ EUROBOTIQUE

Files in This Item:
Files in This Item:
File Description SizeFormat 
Thumbnail2018_Aznar_etal_Symmetry.pdf2,37 MBAdobe PDFOpen Preview


This item is licensed under a Creative Commons License Creative Commons