An Adaptive Programming Model for Environmental Sensor Networks Using Fuzzy Logic

Author

Nickerson, Bradford G. ; Deng, Ke

Author_Institution

Fac. of Comput. Sci., New Brunswick Univ., Fredericton, NB

fYear

2008

fDate

5-8 May 2008

Firstpage

350

Lastpage

357

Abstract

In this paper, we present a sensor network programming model using fuzzy logic. A fuzzy controller model is used to dynamically control the rate of observation of environmental variables. Differing rates arise from changing environmental conditions. Inferencing using linguistic rules provides a compact, human friendly way to represent the knowledge base for controlling environmental sensor networks. Our programming model is illustrated with a simulation having two rules and three environmental variables.

Keywords

condition monitoring; control engineering computing; environmental management; environmental science computing; fuzzy control; fuzzy reasoning; knowledge based systems; sensors; adaptive programming model; environmental sensor networks; fuzzy controller model; fuzzy logic; inferencing; linguistic rules; Biosensors; Fuzzy logic; Gas detectors; Humans; Logic programming; Object oriented modeling; Radiation monitoring; Sensor phenomena and characterization; Sensor systems; Temperature sensors; environmental variables; fuzzy logic; sensor network programming; sensor web language;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Networks and Services Research Conference, 2008. CNSR 2008. 6th Annual

Conference_Location

Halifax, NS

Print_ISBN

978-0-7695-3135-9

Type

conf

DOI

10.1109/CNSR.2008.36

Filename

4519880