Next Article in Journal
Maximization of the Supportable Number of Sensors in QoS-Aware Cluster-Based Underwater Acoustic Sensor Networks
Next Article in Special Issue
Biosensors for the Detection of Circulating Tumour Cells
Previous Article in Journal
A Simple Small Size and Low Cost Sensor Based on Surface Plasmon Resonance for Selective Detection of Fe(III)
Previous Article in Special Issue
Influence of Surface Position along the Working Range of Conoscopic Holography Sensors on Dimensional Verification of AISI 316 Wire EDM Machined Surfaces
Article Menu

Export Article

Open AccessArticle
Sensors 2014, 14(3), 4672-4688;

A Novel Topology Control Approach to Maintain the Node Degree in Dynamic Wireless Sensor Networks

Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad (CITSEM), Campus Sur Universidad Politécnica de Madrid (UPM), 28031 Madrid, Spain
Author to whom correspondence should be addressed.
Received: 25 December 2013 / Revised: 20 February 2014 / Accepted: 24 February 2014 / Published: 7 March 2014
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain 2013)
Full-Text   |   PDF [409 KB, uploaded 21 June 2014]


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. View Full-Text
Keywords: Wireless Sensor Networks; fuzzy-logic control; topology control; network connectivity Wireless Sensor Networks; fuzzy-logic control; topology control; network connectivity
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Huang, Y.; Martínez, J.-F.; Díaz, V.H.; Sendra, J. A Novel Topology Control Approach to Maintain the Node Degree in Dynamic Wireless Sensor Networks. Sensors 2014, 14, 4672-4688.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top