International Journal of Innovation and Scientific Research
ISSN: 2351-8014
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Optimized Routing Approach using McCulloch-Pitts Neuron model

Volume 22, Issue 1, April 2016, Pages 250–255

 Optimized Routing Approach using McCulloch-Pitts Neuron model

Sougata Chakraborty and Debabrata Sarddar

Original language: English

Received 25 January 2016

Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


With the amelioration of the promising research work in the sphere of mobile communication and cloud computing, the swift and seamless data transmission stands on congestion control of the network. However, many a routing method involves to easing the congestion in the mobile network. Mostly, the prime focus of any routing algorithm remains towards the approach to the selection of the route in which path data packets are being sent efficiently. But the short fall of this concept is it cannot deal with the congestion prevention and congestion avoidance scenario. Our optimized routing approach with the help of artificial neural network will ensure relatively more smooth data transmission between any mobile device and cloud nodes across the global network by reducing the chance of arising congestion situation.

Author Keywords: Cloud computing, Mobile communication, Congestion, Active Scanning, Passive Scanning.

How to Cite this Article

Sougata Chakraborty and Debabrata Sarddar, “Optimized Routing Approach using McCulloch-Pitts Neuron model,” International Journal of Innovation and Scientific Research, vol. 22, no. 1, pp. 250–255, April 2016.