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Authors: Pedro Henrique Gouvea Coelho ; J. F. M. do Amaral ; K. P. Guimarães and Matheus C. Bentes

Affiliation: State Univ. of Rio de Janeiro, FEN/DETEL, R. S. Francisco Xavier, 524/Sala 5001E, Maracanã, RJ, 20550-900 and Brazil

Keyword(s): Genetic Algorithms, Artificial Intelligence Applications, Evolutionary Techniques.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Industrial Applications of Artificial Intelligence

Abstract: Wireless Mesh Networks show cost-efficient and fast deployment characteristics, however their major problem is mesh router placement. Such optimal mesh router placement ensures desired network performance concerning network connectivity and coverage area. As the problem is NP hard, a motivation to solve the mesh router placement problem and seek optimal solution with suitable performance is to follow a heuristic approach using evolutionary techniques involving genetic algorithms including fuzzy aggregation. Two case studies are considered in this paper. The first one deals with a genetic algorithm application for spatial layout of routers in a two dimensional, obstacle free, wireless mesh network model. The second one considers a hybrid fuzzy-genetic scheme based on a fuzzy aggregation system that assesses the fitness of a genetic algorithm. The hybrid system carries out the routers layout evolution within an area with localization constraints where the placements of such routers are high cost. The results indicate the feasibility of the proposed method for this type of application. (More)

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Paper citation in several formats:
Coelho, P.; M. do Amaral, J.; Guimarães, K. and Bentes, M. (2019). Layout of Routers in Mesh Networks with Evolutionary Techniques. In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-372-8; ISSN 2184-4984, SciTePress, pages 438-445. DOI: 10.5220/0007739204380445

@conference{iceis19,
author={Pedro Henrique Gouvea Coelho. and J. F. {M. do Amaral}. and K. P. Guimarães. and Matheus C. Bentes.},
title={Layout of Routers in Mesh Networks with Evolutionary Techniques},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2019},
pages={438-445},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007739204380445},
isbn={978-989-758-372-8},
issn={2184-4984},
}

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Layout of Routers in Mesh Networks with Evolutionary Techniques
SN - 978-989-758-372-8
IS - 2184-4984
AU - Coelho, P.
AU - M. do Amaral, J.
AU - Guimarães, K.
AU - Bentes, M.
PY - 2019
SP - 438
EP - 445
DO - 10.5220/0007739204380445
PB - SciTePress