Selecting a deserving node as a cluster head (CH) has a symbolic impact on the energy
efficient working of Wireless Sensor Networks (WSNs). With the reduction in network's …

Wireless Sensor Networks (WSNs) consists of a large number of limited memory and battery-
powered sensor nodes deployed in the area under observation wirelessly. Therefore …

With huge advancements in Microelectronics, Wireless Sensor Network (WSN) is
conquering its domain with low powered tiny sensors. These sensors are commonly used in …

Nowadays, WSNs have been widely used in various applications. Many tiny devices used
for sensing the environment are called sensors which are important components of a WSN …

Energy conservation is one of the critical design issues in Wireless Sensor Networks
(WSNs). WSN comprises of a huge collection of resource-restricted devices called sensor …

Energy consumption in a sensor network plays a critical role while designing the network as
wireless sensor networks (WSNs) work in an unattended environment where the human …

In order to conserve energy in wireless sensor networks (WSNs), sensor nodes are
partitioned into clusters. Clustering algorithm provides an effective way to extend the …

Fuzzy clustering generally uses more than one input parameters to determine specific output
parameters for cluster head (CH) selection. The output parameters are restricted to one or …

Clustering is a major methodology in any wireless sensor networks to attain energy
efficiency. In clustering technique, cluster head is nominated in the network then the cluster …

The important aspect to consider in WSN would be extending the network lifetime. Due to
the limited resources provided by sensors, there are limitations when using the battery …