Localized and Energy-Efficient Topology Control in Wireless Sensor Networks Using Fuzzy-Logic Control Approaches

Huang, Yuanjiang; Martínez Ortega, José Fernán; Hernández Díaz, Vicente y Sendra Pons, Juana (2014). Localized and Energy-Efficient Topology Control in Wireless Sensor Networks Using Fuzzy-Logic Control Approaches. "Mathematical Problems in Engineering", v. 2014 ; ISSN 1563-5147. https://doi.org/10.1155/2014/973163.

Descripción

Título: Localized and Energy-Efficient Topology Control in Wireless Sensor Networks Using Fuzzy-Logic Control Approaches
Autor/es:
  • Huang, Yuanjiang
  • Martínez Ortega, José Fernán
  • Hernández Díaz, Vicente
  • Sendra Pons, Juana
Tipo de Documento: Artículo
Título de Revista/Publicación: Mathematical Problems in Engineering
Fecha: 24 Abril 2014
Volumen: 2014
Materias:
Escuela: Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad (CITSEM) (UPM)
Departamento: Ingeniería Telemática y Electrónica
Grupo Investigación UPM: Redes y Servicios de Próxima Generación GRyS
Licencias Creative Commons: Reconocimiento

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Resumen

The sensor nodes in the Wireless Sensor Networks (WSNs) are prone to failures due to many reasons, for example, running out of battery or harsh environment deployment; therefore, the WSNs are expected to be able to maintain network connectivity and tolerate certain amount of node failures. By applying fuzzy-logic approach to control the network topology, this paper aims at improving the network connectivity and fault-tolerant capability in response to node failures, while taking into account that the control approach has to be localized and energy efficient. Two fuzzy controllers are proposed in this paper: one is Learning-based Fuzzy-logic Topology Control (LFTC), of which the fuzzy controller is learnt from a training data set; another one is Rules-based Fuzzy-logic Topology Control (RFTC), of which the fuzzy controller is obtained through designing if-then rules and membership functions. Both LFTC and RFTC do not rely on location information, and they are localized. Comparing them with other three representative algorithms (LTRT, List-based, and NONE) through extensive simulations, our two proposed fuzzy controllers have been proved to be very energy efficient to achieve desired node degree and improve the network connectivity when sensor nodes run out of battery or are subject to random attacks.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
Gobierno de EspañaART-010000-2012-2DEMANESSin especificarDesign, Monitoring, and Operation of Adaptive Networked Embedded Systems

Más información

ID de Registro: 43140
Identificador DC: http://oa.upm.es/43140/
Identificador OAI: oai:oa.upm.es:43140
Identificador DOI: 10.1155/2014/973163
URL Oficial: http://www.hindawi.com/journals/mpe/2014/973163/cta/
Depositado por: Profesor Vicente Hernández Díaz
Depositado el: 29 Ago 2016 11:06
Ultima Modificación: 29 Ago 2016 11:06
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