TITLE:
Soft Computing: Fuzzy Logic Approach in Wireless Sensors Networks
AUTHORS:
M. Vinoth Kumar, Dr. T. Lalitha
KEYWORDS:
Embedded Fuzzy Logic, Data Fusion, Clusterization, Aggregation, Fuzzy Distributed Knowledge Base, Sensor
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.8,
June
7,
2016
ABSTRACT: The recent growth of
communication and sensor technology results in the enlargement of a new
attractive and challenging area-wireless sensor networks (WSNs). A network
comprising of several minute wireless sensor nodes which are organized in a
dense manner is called as a Wireless Sensor Network (WSN). Every node estimates
the state of its surroundings in this network. The estimated results are then
converted into the signal form in order to determine the features related to
this technique after the processing of the signals. It’s high computational
environment with limited and controlled broadcast range, processing, as well as
limited energy. The embedded soft computing approach in wireless sensor
networks is suggested. This approach means a grouping of embedded fuzzy logic
and neural networks models for information processing in complex environment
with unsure, rough, fuzzy measuring data. It is generalization of soft
computing concept for the embedded, distributed, adaptive systems.