Sensors | |
An Architecture for Performance Optimization in a Collaborative Knowledge-Based Approach for Wireless Sensor Networks | |
Manuel Angel Gadeo-Martos1  Jose Angel Fernandez-Prieto1  Joaquin Canada-Bago1  | |
[1] Telecommunications Department, University of Jaen, Alfonso X El Sabio 28, Linares, Jaen 23700, Spain; E-Mails: | |
关键词: intelligent spaces; wireless sensor networks; fuzzy rule-based systems; | |
DOI : 10.3390/s111009136 | |
来源: mdpi | |
【 摘 要 】
Over the past few years, Intelligent Spaces (ISs) have received the attention of many Wireless Sensor Network researchers. Recently, several studies have been devoted to identify their common capacities and to set up ISs over these networks. However, little attention has been paid to integrating Fuzzy Rule-Based Systems into collaborative Wireless Sensor Networks for the purpose of implementing ISs. This work presents a distributed architecture proposal for collaborative Fuzzy Rule-Based Systems embedded in Wireless Sensor Networks, which has been designed to optimize the implementation of ISs. This architecture includes the following: (a) an optimized design for the inference engine; (b) a visual interface; (c) a module to reduce the redundancy and complexity of the knowledge bases; (d) a module to evaluate the accuracy of the new knowledge base; (e) a module to adapt the format of the rules to the structure used by the inference engine; and (f) a communications protocol. As a real-world application of this architecture and the proposed methodologies, we show an application to the problem of modeling two plagues of the olive tree: prays (olive moth,
【 授权许可】
CC BY
© 2011 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
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RO202003190047642ZK.pdf | 1218KB | download |