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

Huang, Yuanjiang and Martínez Ortega, José Fernán and Hernández Díaz, Vicente and 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.

Description

Title: Localized and Energy-Efficient Topology Control in Wireless Sensor Networks Using Fuzzy-Logic Control Approaches
Author/s:
  • Huang, Yuanjiang
  • Martínez Ortega, José Fernán
  • Hernández Díaz, Vicente
  • Sendra Pons, Juana
Item Type: Article
Título de Revista/Publicación: Mathematical Problems in Engineering
Date: 24 April 2014
ISSN: 1563-5147
Volume: 2014
Subjects:
Faculty: Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad (CITSEM) (UPM)
Department: Ingeniería Telemática y Electrónica
UPM's Research Group: Redes y Servicios de Próxima Generación GRyS
Creative Commons Licenses: Recognition

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (2MB) | Preview

Abstract

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.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainART-010000-2012-2DEMANESUnspecifiedDesign, Monitoring, and Operation of Adaptive Networked Embedded Systems

More information

Item ID: 43140
DC Identifier: http://oa.upm.es/43140/
OAI Identifier: oai:oa.upm.es:43140
DOI: 10.1155/2014/973163
Official URL: http://www.hindawi.com/journals/mpe/2014/973163/cta/
Deposited by: Profesor Vicente Hernández Díaz
Deposited on: 29 Aug 2016 11:06
Last Modified: 29 Aug 2016 11:06
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM