Research Article
Soft Computing Technique Based Call Admission Control Decision Mechanism
@INPROCEEDINGS{10.1007/978-3-642-27299-8_37, author={H. Ramesh Babu and Gowrishankar and G. Mahesh and P. Satyanarayana}, title={Soft Computing Technique Based Call Admission Control Decision Mechanism}, proceedings={Advances in Computer Science and Information Technology. Networks and Communications. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part I}, proceedings_a={CCSIT PART I}, year={2012}, month={11}, keywords={Analytical Hierarchy Process TOPSIS Grey Rational Analysis Fuzzy neural networks}, doi={10.1007/978-3-642-27299-8_37} }- H. Ramesh Babu
Gowrishankar
G. Mahesh
P. Satyanarayana
Year: 2012
Soft Computing Technique Based Call Admission Control Decision Mechanism
CCSIT PART I
Springer
DOI: 10.1007/978-3-642-27299-8_37
Abstract
The decision Mechanism is the concluding phase of any decision making process. This paper discusses on the different methodologies available for implementing the decision mechanisms. The paper preambles with a brief description on set of conventional Multi criteria Decision Mechanisms (MCDM) like Analytical Hierarchy Process (AHP), Simple Additive weighting Method (SAW) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Grey Rational Analysis (GRA) along with benefits and limitations of each technique. The different intelligent/soft computing techniques that are widely used in decision making processes like fuzzy logic, neural networks are discussed and finally confines the discussions to the different neural network (NN) based decision support systems. The paper proposes a fuzzy neural network based architecture for call admission control decision mechanism in a heterogeneous wireless network environment.