TY  - JOUR
TI  - Analysis of Enhanced Stable Clustering Algorithm Using NS2
AU  - Sanju Kumari
AU  -  Dr. Neetu Sharma
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2018/06/30
PY  - 2018
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT1183568
VL  - 3
IS  - 5
SP  - 204	
EP  - 207
AB  - Wireless networks are becoming more popular because they are easy to use. Mobile ad-hoc networks become very important technology in the last few years because wireless devices increases. Battery power is important parameter because mobile devices are battery operated now days. There are numerous clustering algorithms for MANET environment categorized mobility aware, load balancing clustering, energy proficient approach, combined metrics based clustering. Combined Metrics based clustering algorithms are preferred as more efficient in clustering as compared with the other clustering algorithms. This paper is focused on node fidelity of mobile nodes using these two node’s quality an algorithm is developed as Enhanced-NQCA algorithm which is combined metrics based approach. Results shows that Enhanced-NQCA performs better result as compared to Weight based clustering algorithm (WCA) and Node Quality based Clustering algorithm (NQCA).