A novel topology control approach to maintain the node degree in dynamic wireless sensor networks

Huang, Yuanjiang; Martínez Ortega, José Fernán; Hernández Díaz, Vicente y Sendra Pons, Juana (2014). A novel topology control approach to maintain the node degree in dynamic wireless sensor networks. "Sensors", v. 3 (n. 14); pp. 4672-4688. ISSN 1424-8220. https://doi.org/10.3390/s140304672.

Descripción

Título: A novel topology control approach to maintain the node degree in dynamic wireless sensor networks
Autor/es:
  • Huang, Yuanjiang
  • Martínez Ortega, José Fernán
  • Hernández Díaz, Vicente
  • Sendra Pons, Juana
Tipo de Documento: Artículo
Título de Revista/Publicación: Sensors
Fecha: Marzo 2014
Volumen: 3
Materias:
Palabras Clave Informales: Wireless sensor networks; fuzzy-logic control; topology control; network connectivity
Escuela: E.U.I.T. Telecomunicación (UPM) [antigua denominación]
Departamento: Ingeniería Telemática y Electrónica
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Topology control is an important technique to improve the connectivity and the reliability of Wireless Sensor Networks (WSNs) by means of adjusting the communication range of wireless sensor nodes. In this paper, a novel Fuzzy-logic Topology Control (FTC) is proposed to achieve any desired average node degree by adaptively changing communication range, thus improving the network connectivity, which is the main target of FTC. FTC is a fully localized control algorithm, and does not rely on location information of neighbors. Instead of designing membership functions and if-then rules for fuzzy-logic controller, FTC is constructed from the training data set to facilitate the design process. FTC is proved to be accurate, stable and has short settling time. In order to compare it with other representative localized algorithms (NONE, FLSS, k-Neighbor and LTRT), FTC is evaluated through extensive simulations. The simulation results show that: firstly, similar to k-Neighbor algorithm, FTC is the best to achieve the desired average node degree as node density varies; secondly, FTC is comparable to FLSS and k-Neighbor in terms of energy-efficiency, but is better than LTRT and NONE; thirdly, FTC has the lowest average maximum communication range than other algorithms, which indicates that the most energy-consuming node in the network consumes the lowest power.

Más información

ID de Registro: 33251
Identificador DC: http://oa.upm.es/33251/
Identificador OAI: oai:oa.upm.es:33251
Identificador DOI: 10.3390/s140304672
URL Oficial: http://www.mdpi.com/1424-8220/14/3/4672
Depositado por: Memoria Investigacion
Depositado el: 14 Abr 2015 18:46
Ultima Modificación: 28 Jul 2015 13:05
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