Classification Techniques with Cooperative Routing for Industrial Wireless Sensor Networks

Industrial environment pose concern for harsh noisy environment upon use of Wireless Sensor Networks (WSN). Wavelet Transform is used as preprocessor for denoising the real word data from sensor node. Wireless Sensor Networks are battery powered. Hence every aspect of WSN is designed with energy constrain. Communication is the largest consumer of energy in WSN. Hence energy consumption during communication must be reduced to the minimum possible. This paper focuses on reduced energy consumption on communication. The co-operative routing protocol is designed for communication in a distributed environment. In a distributed environment, the data routing takes place in multiple hops and all the nodes take part in communication. The main objective is to achieve a uniform dissipation of energy for all the nodes in the whole network, and make the classifier work in industrial environment. The paper discusses classification technique using ART I and Fuzzy ART neural network models.