Several applications related to uncertainty problems are resolved by soft computing
techniques such as fuzzy logic, genetic algorithm, PSO, Ant colony optimization, etc …

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 …

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 …

Abstract Wireless Sensor Networks (WSNs) are the physical monitoring infrastructure of the
Internet of Things (IoT) technology. For IoT based monitoring systems, the WSNs need to be …

Today WSNs having different important role in different fields. Generally WSNs consist of
thousands of small, cost effective, constrains on memory and processing capabilities to …

a wireless sensor network is a distributed sensing node to monitor physical or environmental
conditions. Each node consists of sensors, wireless communication, limited processing …

Segregating wireless sensor network into clusters to distribute various tasks uniformly
among the sensors is an elegant solution to conserve the energy resources. The …

The robust application of wireless sensor networks has increased during the past decade
due to the potential use of wireless nodes in transmission of information by decreasing …

Wireless sensor network (WSN) composes of randomly and uniformly deployed sensors to
sense and monitor condition changing eg temperature and pass the data to a base station …

In modern wireless technology, wireless sensor networks with Internet of Thing is poised to
be one of the most disruptive technology over the next degrade. Clustering is a major …