Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
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.
How to cite this article:
Rula Sami Khudhair. Clustering in a Wireless Sensor Network using Fuzzy Logic Method.
DOI: https://doi.org/10.36478/jeasci.2018.11081.11090
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2018.11081.11090