A New Collaborative Knowledge-Based Approach for Wireless Sensor Networks

Sensors

Joaquin Canada-Bago¹  Jose Angel Fernandez-Prieto¹  Manuel Angel Gadeo-Martos¹ 

[1] Telecommunication Department, University of Jaen, Alfonso X El Sabio 28, 23700 Linares, Jaen, Spain; E-Mails:

关键词: Wireless Sensor Networks;    Fuzzy Rule-Based System;    Cooperating Objects;   

DOI  :  10.3390/s100606044

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2010 by the authors; licensee MDPI, Basel, Switzerland.