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

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

Description

Title: A novel topology control approach to maintain the node degree in dynamic wireless sensor networks
Author/s:
  • Huang, Yuanjiang
  • Martínez Ortega, José Fernán
  • Hernández Díaz, Vicente
  • Sendra Pons, Juana
Item Type: Article
Título de Revista/Publicación: Sensors
Date: March 2014
ISSN: 1424-8220
Volume: 3
Subjects:
Freetext Keywords: Wireless sensor networks; fuzzy-logic control; topology control; network connectivity
Faculty: E.U.I.T. Telecomunicación (UPM)
Department: Ingeniería Telemática y Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

Funding Projects

TypeCodeAcronymLeaderTitle
FP7295372DEMANESITA-SUOMEN YLIOPISTODesign, Monitoring and Operation of Adaptive Networked Embedded Systems
Government of SpainART-010000-2012-2UnspecifiedUnspecifiedUnspecified

More information

Item ID: 33251
DC Identifier: http://oa.upm.es/33251/
OAI Identifier: oai:oa.upm.es:33251
DOI: 10.3390/s140304672
Official URL: http://www.mdpi.com/1424-8220/14/3/4672
Deposited by: Memoria Investigacion
Deposited on: 14 Apr 2015 18:46
Last Modified: 14 May 2019 12:24
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