Design an Algorithm for Avoidance of Collision in WSN Based on Feed Forward Back Propagation Technique.

In this paper we will design a algorithm which used Hopfield neural network algorithm which is based on Feed Forward Back Propagation technique to avoid collision in wireless sensor network. Hopfield Neural Network uses the concepts of associative memory, pattern completion and error correction. The algorithm are design in such a way that itself is robust in case of missing data, and pattern correction in case of corrupted data to remove the collided packet from the network due to the association ability. It is based a single layer fully connected feedback network with no direct feedback connections, i.e. each single neuron is not directly connected to itself. [ABSTRACT FROM AUTHOR]