TY  - JOUR
T1  - Improved Fuzzy Based Clustering Algorithm for Wireless Sensor Networks
AU - Suri, Saloni AU - Mittal, Nitin 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 11
SP  - 2996
EP  - 3001
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.2996.3001
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.2996.3001
KW  - clustering
KW  -WSN
KW  -multi-objective
KW  -fuzzy rules
KW  -energy
AB  - Clustering is most efficient technique to reduce energy consumption for Wireless Sensor Networks
(WSN). The Cluster Heads (CH) are selected in each cluster and nodes belonging to that cluster will aggregate
their data to the cluster head. In this study, improved version of MOFCA protocol is introduced which
addressed the issue of energy consumption in WSN. The improved MOFCA is the fuzzy clustering algorithm
which includes node density, remaining energy, node mobility and distance from Base Station (BS) as input
parameters to generate final output in terms of node radius. The simulation of improved MOFCA is done in
MATLAB and compared with MOFCA. It has been analyzed that efficiency of improved MOFCA is increased
after introducing node mobility parameter in the fuzzy rules.
ER  -