Association Rules
Association Rules for
Wireless Sensor Data Based On Fuzzy - Genetic Algorithm
ABIRAMI, T and THANGARAJ, P.
Department of
Computer Technology, Kongu Engineering College, Perundurai, Erode, India.
2Dept. of CSE, Bannariamman Institute of Technology,
Sathy, Tamilnadu, India,
Abstract: As
wireless sensor networks (WSN) generate a huge amount of data for varied
applications, it is important to locate essential knowledge from it. WSN data
is generally generated in streams before being forwarded to a sink. WSN
performance in adversely affected as raw data leads to higher communication
overhead. Frequent patterns are located through association mining. Hence, WSN
network data have association mining applied to it only regular raw data
patterns are forwarded to the sink which in turn lowers communication overhead.
This paper proposes WSN data mining using association rule to extricate
patterns. A Fuzzy based genetic algorithm along with the rule is used for
efficient extraction.
[ABIRAMI, T,THANGARAJ, P. Association Rules
for Wireless Sensor Data Based On Fuzzy - Genetic Algorithm. Life
Sci J 2013;10(4s):554-558] (ISSN: 1097-8135). http://www.lifesciencesite.com. 84
Key words: Wireless Sensor Networks (WSN), Association
rules, Genetic Algorithm, Fuzzy Logic.
