Swarm architectures for Ground-based Air Defense Systems of Systems

Melgar, Ignacio; Fombellida, Juan; Jevtić, Aleksandar; Seijas, Juan

doi:10.1109/indin.2009.5195902

Cited by 5 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Unmanned vehicle swarms communicate information through communication protocols, which are established by the mission's unique requirements as well as the swarm's features [12]. An efficient architecture is required for exchanging information among a swarm of unmanned vehicles, allowing them to operate safely and accomplish their missions.…”

Section: Applicationsmentioning

confidence: 99%

Autonomous Systems for Defense Applications

Daramouskas,

Lappas,

Patrinopoulou

et al. 2023

Autonomous Vehicles - Applications and Perspectives

View full text Add to dashboard Cite

The numerous advantages of using UAV platforms, alongside with recent scientific developments in the field of autonomous vehicles in general and the lower production costs for such platforms, have increased interest in their usage in a variety of defense applications. This work investigates swarming in defense applications and provides information about the crucial modules needed for a swarm to operate and the main missions in defense applications that the swarms can be used to enhance the situational awareness.

show abstract

Section: Applicationsmentioning

confidence: 99%

Autonomous Systems for Defense Applications

Daramouskas,

Lappas,

Patrinopoulou

et al. 2023

Autonomous Vehicles - Applications and Perspectives

View full text Add to dashboard Cite

show abstract

“…Σε όλες τις περιπτώσεις η πιο σηµαντική παράµετρος είναι η συνδροµή του χρήστη ακολουθούµενη από την ζήτηση ενώ τελευταία είναι η λειτουργία του δικτύου. [133], για αµυντικά συστήµατα [134], [135], για παγκόσµια συστήµατα παρακολούθησης της Γης [136], για συστήµατα σχετικά µε την υγεία [137] κ.α.…”

Section: σχήµα 7-2: ∆ίκτυο πυκνής αστικής περιοχήςunclassified

Τεχνοοικονομική Ανάλυση Δικτύων Επόμενης Γενιάς

Ροκκάς¹

View full text Add to dashboard Cite

In this thesis a methodological framework for the technoeconomic analysis of telecommunication networks is presented and used in order to address problems concerning the deployment on next generation access networks (NGN).In the first part NGN are presented with a series of architectures based on copper network, fiber network, Free Space Optical (FSO) network and hybrid solutions. In addition Fixed Mobile Convergence (FMC) is addressed. Next issues concerning the technoeconomic evaluation are presented such as indexes for the evaluation of investments, discounted cash flow analysis, real option analysis and risk analysis.In the second part of the thesis the methodology is to address several case studies for NGN deployments using both fixed (FTTx) and wireless (FSO) architectures. In order to clarify the uncertainty Real Option analysis is used along with risk and sensitivity analysis. The effects of FMC on an integrated telecom provider are also examined. Finally a System of System approach for the study of cost concerning FTTx network deployment is introduced.

show abstract

“…The study of the state-of-the-art Soft Computing methods applied to various domains was performed, which resulted in contribution in the following published work (Marcano-Cedeño et al, 2009;Quintanilla-Domínguez et al, 2010;Grau et al, 2009;Melgar et al, 2009;Alarcón-Mondéjar et al, 2008;Cortina-Januchs et al, 2008;Andina and Jevtić, 2007a,b).…”

Section: Jevtićmentioning

confidence: 99%

Swarm intelligence: novel tools for optimization, feature extraction, and multi-agent system modeling

Jevtić¹

View full text Add to dashboard Cite

Animal swarms in nature are able to adapt to dynamic changes in their environment, and through cooperation they can solve problems that are crucial for their survival. Only by means of local interactions with other members of the swarm and with the environment, they can achieve a common goal more efficiently than it would be done by a single individual. This problem-solving behavior that results from the multiplicity of such interactions is referred to as Swarm Intelligence. The mathematical models of swarming behavior in nature were initially proposed to solve optimization problems. Nevertheless, this decentralized approach can be a valuable tool for a variety of applications, where emerging global patterns represent a solution to the task at hand. Methods for the solution of difficult computational problems based on Swarm Intelligence have been experimentally demonstrated and reported in the literature. However, a general framework that would facilitate their design does not exist yet.In this dissertation, a new general design methodology for Swarm Intelligence tools is proposed. By defining a discrete space in which the members of the swarm can move, and by modifying the rules of local interactions and setting the adequate objective function for solutions evaluation, the proposed methodology is tested in various domains. The dissertation presents a set of case studies, and focuses on two general approaches. One approach is to apply Swarm Intelligence as a tool for optimization and feature extraction, and the other approach is to model multi-agent systems such that they resemble swarms of animals in nature providing them with the ability to autonomously perform a task at hand.Artificial swarms are designed to be autonomous, scalable, robust, and adaptive to the changes in their environment. In this work, the methods that exploit one or more of these features are presented. First, the proposed methodology is validated in a real-world scenario seen as a combinatorial optimization problem. Then a set of novel tools for feature extraction, more precisely the adaptive edge detection and the broken-edge linking in digital images is proposed. A novel data clustering algorithm is also proposed and applied to image segmentation. Finally, a scalable algorithm based on the proposed methodology is developed for distributed task allocation in multi-agent systems, and applied to a swarm of robots. The newly proposed general methodology provides a guideline for future developers of the Swarm Intelligence tools.During the years of my Ph.D. studies, many people have formed an important part of my life and to all of them I wish to express my sincerest gratitude for the support they have given me.I thank my advisor Professor Diego Andina de la Fuente for the opportunity to be a part of the Group for Automation in Signal and Communications. I am grateful for his guidance and his continuing support, and for allowing me to choose the research topic of my interest. In his words: "It is important that you choose a topic that interests...

show abstract

Swarm architectures for Ground-based Air Defense Systems of Systems

Cited by 5 publications

References 4 publications

Autonomous Systems for Defense Applications

Autonomous Systems for Defense Applications

Τεχνοοικονομική Ανάλυση Δικτύων Επόμενης Γενιάς

Swarm intelligence: novel tools for optimization, feature extraction, and multi-agent system modeling

Contact Info

Product

Resources

About