TY  - JOUR
T1  - Clustering in a Wireless Sensor Network using Fuzzy Logic Method
AU - Sami Khudhair, Rula 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 14
SP  - 11081
EP  - 11090
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.11081.11090
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.11081.11090
KW  - Neighbors
KW  -information
KW  -network
KW  -clustering
KW  -sensors
KW  -heads
AB  - In the IT world, the wireless sensor network poses a very high position. According to its various
applications, it is useful in many industries. In this network, sensors form the main body and transmit the
information to the server by checking the environment but an important challenge is the limited energy of the
sensors. A remarkable solution to this challenge is using clustering to send information by the cluster heads.
In this study, we present a new clustering method using fuzzy logic that can perform clustering with the least
energy consumption. In this method, we perform clustering according to four criteria including energy, number
of neighbors, centrality and distance from the main server. This combination has been able to provide a highly
optimized cluster that selects the best and the most suitable nodes as a cluster head in each step. The
simulation results and the comparison of the proposed method show that the proposed method is better than
previous methods and has improved 12% of energy consumption which is a very important factor.
ER  -