A Fuzzy Logic-Based Unequal Clustering For Energy Balancing In Wireless Sensor
Networks Page 1 A Fuzzy Logic-Based Unequal Clustering For Energy Balancing In …

For wireless sensor network (WSN) many routing protocols are proposed to reduce energy
consumption. Clustering methodology has been used in WSN for increasing the longevity of …

Energy consumption and lifetime of WSN are the most important research challenges to be
resolved. For load balancing and efficient data collection in the network, clustering is used …

In order to gather information more efficiently in terms of energy consumption, wireless
sensor networks (WSNs) are partitioned into clusters. In clustered WSNs, each sensor node …

One of the most important issues in wireless sensor networks is energy autonomy. Thereby
wireless communication leads to excessive demands of energy. In this paper, a fuzzy based …

Abstract The Wireless Sensor Network (WSN) consists a group of sensors and a Base
Station (BS) or sink. Sensors gather data from the sensing area and send these data to BS …

Currently, wireless sensor networks (WSNs) are providing practical solutions for various
applications, including smart agriculture and healthcare, and have provided essential …

In order to gather information more efficiently, wireless sensor networks (WSNs) are
partitioned into clusters. The most of the proposed clustering algorithms do not consider the …

In wireless sensor networks, the energy efficiency is a big challenge and this can be
defeated using various techniques such as clustering and routing. In the clustering …

Many researches in wireless sensors network clustering aim to optimize the power and to
balance the cluster with respect to cluster head and cluster nodes. The optimization of …