THE DESIGN AND IMPLEMENTATION OF FUZZY QUERY PROCESSING ON SENSOR NETWORKS

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Doman, M. (2009). THE DESIGN AND IMPLEMENTATION OF FUZZY QUERY PROCESSING ON SENSOR NETWORKS. Unc Charlotte Electronic Theses And Dissertations.
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Abstract

Sensor nodes and Wireless Sensor Networks (WSN) enable observation of the physical world in unprecedented levels of granularity. A growing number of environmental monitoring applications are being designed to leverage data collection features of WSN, increasing the need for efficient data management techniques and for comparative analysis of various data management techniques. My research leverages aspects of fuzzy database, specifically fuzzy data representation and fuzzy or flexible queries to improve upon the efficiency of existing data management techniques by exploiting the inherent uncertainty of the data collected by WSN. Herein I present my research contributions. I provide classification of WSN middleware to illustrate varying approaches to data management for WSN and identify a need to better handle the uncertainty inherent in data collected from physical environments and to take advantage of the imprecision of the data to increase the efficiency of WSN by requiring less information be transmitted to adequately answer queries posed by WSN monitoring applications.In this dissertation, I present a novel approach to querying WSN, in which semantic knowledge about sensor attributes is represented as fuzzy terms. I present an enhanced simulation environment that supports more flexible and realistic analysis by using cellular automata models to separately model the deployed WSN and the underlying physical environment. Simulation experiments are used to evaluate my fuzzy query approach for environmental monitoring applications. My analysis shows that using fuzzy queries improves upon other data management techniques by reducing the amount of data that needs to be collected to accurately satisfy application requests. This reduction in data transmission results in increased battery life within sensors, an important measure of cost and performance for WSN applications.

Details
Author

Doman, Marguerite

Title

THE DESIGN AND IMPLEMENTATION OF FUZZY QUERY PROCESSING ON SENSOR NETWORKS

Physical Description

1 online resource (161 pages) : PDF

Date

2009

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

Sensor nodes and Wireless Sensor Networks (WSN) enable observation of the physical world in unprecedented levels of granularity. A growing number of environmental monitoring applications are being designed to leverage data collection features of WSN, increasing the need for efficient data management techniques and for comparative analysis of various data management techniques. My research leverages aspects of fuzzy database, specifically fuzzy data representation and fuzzy or flexible queries to improve upon the efficiency of existing data management techniques by exploiting the inherent uncertainty of the data collected by WSN. Herein I present my research contributions. I provide classification of WSN middleware to illustrate varying approaches to data management for WSN and identify a need to better handle the uncertainty inherent in data collected from physical environments and to take advantage of the imprecision of the data to increase the efficiency of WSN by requiring less information be transmitted to adequately answer queries posed by WSN monitoring applications.In this dissertation, I present a novel approach to querying WSN, in which semantic knowledge about sensor attributes is represented as fuzzy terms. I present an enhanced simulation environment that supports more flexible and realistic analysis by using cellular automata models to separately model the deployed WSN and the underlying physical environment. Simulation experiments are used to evaluate my fuzzy query approach for environmental monitoring applications. My analysis shows that using fuzzy queries improves upon other data management techniques by reducing the amount of data that needs to be collected to accurately satisfy application requests. This reduction in data transmission results in increased battery life within sensors, an important measure of cost and performance for WSN applications.

Genre

doctoral dissertations

Subjects--Topics

Computer science

Degree

Ph.D.

Keywords

Fuzzy Query
Sensor Networks

Subject Area

Information Technology

Advisor(s)

Dahlberg, Teresa

Committee Members

Wang, Yu
Payton, Jamie
Nasipuri, Asis
Sell, Susan
Saydam, Cem

Degree Note

Thesis (Ph.D.)--University of North Carolina at Charlotte, 2009.

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Rights Holder Information

Copyright is held by the author unless otherwise indicated.

Identifier

Doman_uncc_0694D_10065

Permalink

http://hdl.handle.net/20.500.13093/etd:134