• Optimal broadcasting in metrop...

Result: Optimal broadcasting in metropolitan MANETs using multiobjective scatter search

Title:
Optimal broadcasting in metropolitan MANETs using multiobjective scatter search
Authors:
LUNA, F, NEBRO, A. J, DORRONSORO, B, ALBA, E, BOUVRY, P, HOGIE, L
Source:
Applications of evolutionary computing (EvoWorkshops 2006)Lecture notes in computer science. :255-266
Publisher Information:
Berlin: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 16 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Bioinformatics, Bioinformatique, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Informatique théorique, Theoretical computing, Algorithmique. Calculabilité. Arithmétique ordinateur, Algorithmics. Computability. Computer arithmetics, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Algorithme génétique, Genetic algorithm, Algoritmo genético, Algorithme recherche, Search algorithm, Algoritmo búsqueda, Algorithme évolutionniste, Evolutionary algorithm, Algoritmo evoluciónista, Archive, Archivo, Capital, Informatique mobile, Mobile computing, Métrique, Metric, Métrico, Optimisation, Optimization, Optimización, Optimum Pareto, Pareto optimum, Optimo Pareto, Programmation multiobjectif, Multiobjective programming, Programación multiobjetivo, Réseau ad hoc, Ad hoc network, Red ad hoc, Système réparti, Distributed system, Sistema repartido, Temps total achèvement, Makespan, Tiempo total acabamiento, Algorithme cellulaire, Cellular algorithm, Algoritmo celular, Réseau sans fil, Wireless network, Red sin hilo
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Computer Science, University of Málaga, Spain
Faculty of Sciences, Technology and Communications, University of Luxembourg, Luxembourg
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=19131261
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19131261
Database:
PASCAL Archive

Further Information

Mobile Ad-hoc Networks (MANETs) are composed of a set of communicating devices which are able to spontaneously interconnect without any pre-existing infrastructure. In such scenario, broadcasting becomes an operation of capital importance for the own existence and operation of the network. Optimizing a broadcasting strategy in MANETs is a multiobjective problem accounting for three goals: reaching as many stations as possible, minimizing the network utilization, and reducing the makespan. In this paper, we face this multiobjective problem with a state-of-the-art multiobjective scatter search algorithm called AbSS (Archive-based Scatter Search) that computes a Pareto front of solutions to empower a human designer with the ability of choosing the preferred configuration for the network. Results are compared against those obtained with the previous proposal used for solving the problem, a cellular multiobjective genetic algorithm (cMOGA). We conclude that AbSS outperforms cMOGA with respect to three different metrics.