Author(s)

M. Vinoth Kumar¹, Dr. T. Lalitha^2*

¹Department of Computer Science and Engineering, AVS Engineering College, Salem, India.
²Sona College of Technology, Salem, India.

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.

Embedded Fuzzy Logic, Data Fusion, Clusterization, Aggregation, Fuzzy Distributed Knowledge Base, Sensor

Kumar, M. and Lalitha, D. (2016) Soft Computing: Fuzzy Logic Approach in Wireless Sensors Networks. Circuits and Systems, 7, 1242-1249. doi: 10.4236/cs.2016.78108.