Sensors 2010, 10(6), 6044-6062; doi:10.3390/s100606044
Article

A New Collaborative Knowledge-Based Approach for Wireless Sensor Networks

1 Telecommunication Department, University of Jaen, Alfonso X El Sabio 28, 23700 Linares, Jaen, Spain 2 Department of Automatic, University of Alcala, Alcala de Henares, Madrid, Spain
* Author to whom correspondence should be addressed.
Received: 28 April 2010; in revised form: 15 May 2010 / Accepted: 5 June 2010 / Published: 17 June 2010
(This article belongs to the Special Issue Intelligent Sensors - 2010)
PDF Full-text Download PDF Full-Text [259 KB, Updated Version, uploaded 18 June 2010 08:25 CEST]
The original version is still available [259 KB, uploaded 17 June 2010 16:38 CEST]
Abstract: This work presents a new approach for collaboration among sensors in Wireless Sensor Networks. These networks are composed of a large number of sensor nodes with constrained resources: limited computational capability, memory, power sources, etc. Nowadays, there is a growing interest in the integration of Soft Computing technologies into Wireless Sensor Networks. However, little attention has been paid to integrating Fuzzy Rule-Based Systems into collaborative Wireless Sensor Networks. The objective of this work is to design a collaborative knowledge-based network, in which each sensor executes an adapted Fuzzy Rule-Based System, which presents significant advantages such as: experts can define interpretable knowledge with uncertainty and imprecision, collaborative knowledge can be separated from control or modeling knowledge and the collaborative approach may support neighbor sensor failures and communication errors. As a real-world application of this approach, we demonstrate a collaborative modeling system for pests, in which an alarm about the development of olive tree fly is inferred. The results show that knowledge-based sensors are suitable for a wide range of applications and that the behavior of a knowledge-based sensor may be modified by inferences and knowledge of neighbor sensors in order to obtain a more accurate and reliable output.
Keywords: Wireless Sensor Networks; Fuzzy Rule-Based System; Cooperating Objects

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Canada-Bago, J.; Fernandez-Prieto, J.A.; Gadeo-Martos, M.A.; Velasco, J.R. A New Collaborative Knowledge-Based Approach for Wireless Sensor Networks. Sensors 2010, 10, 6044-6062.

AMA Style

Canada-Bago J, Fernandez-Prieto JA, Gadeo-Martos MA, Velasco JR. A New Collaborative Knowledge-Based Approach for Wireless Sensor Networks. Sensors. 2010; 10(6):6044-6062.

Chicago/Turabian Style

Canada-Bago, Joaquin; Fernandez-Prieto, Jose Angel; Gadeo-Martos, Manuel Angel; Velasco, Juan Ramón. 2010. "A New Collaborative Knowledge-Based Approach for Wireless Sensor Networks." Sensors 10, no. 6: 6044-6062.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert