Abstract Wireless Sensor Networks (WSNs) have attracted various academic researchers,
engineers, science, and technology communities. This attraction is due to their broad …

In today's sensor network research, numerous technologies are used for the enhancement
of earlier studies that focused on cost-effectiveness in addition to time-saving and novel …

The sensors employed in the wireless sensor network are battery-powered which are
prepared with a limited energy supply. Most of the applications in the field of wireless sensor …

Wireless sensor network (WSN) consists of densely distributed nodes that are deployed to
observe and react to events within the sensor field. In WSNs, energy management and …

Clustering is one of the fundamental approaches used to optimize energy consumption in
wireless sensor networks. Clustering protocols proposed in the literature can be classified …

Research on wireless sensor network (WSN) has increased tremendously throughout the
years. In WSN, sensor nodes are deployed to operate autonomously in remote …

Clustering is an appealing paradigm exploited to improve the lifetime and scalability of
wireless sensor networks (WSNs). Considering the NP-completeness of the clustering …

The last few years have seen an increased interest in the potential use of wireless sensor
networks (WSNs) in various fields like disaster management, battle field surveillance, and …

During the past few years, Wireless Sensor Networks (WSNs) have become widely used
due to their large amount of applications. The use of WSNs is an imperative necessity for …

In this study, an optimal method of clustering homogeneous wireless sensor networks using
a multi‐objective two‐nested genetic algorithm is presented. The top level algorithm is a …