Wireless Sensor Networks (WSN) represent a new dimension in the field of network
research. The cluster algorithm can significantly reduce the energy consumption of wireless …

In this paper, an optimized cluster head (CH) selection method based on genetic algorithm
(NCOGA) is proposed which uses the adaptive crossover and binary tournament selection …

Abstract Wireless Sensor Networks (WSN) are operated on battery source, and the sensor
nodes are used for collecting the information from the environment and transmitting the …

Due to the limited resources of sensor nodes, an energy-efficient routing algorithm of
Wireless Sensor Networks is considered as one of the most important issues in improving …

In wireless sensor network (WSN), limited energy resources with the nodes is a complex
challenge as far as data routing, collecting and aggregating the data is concerned as all …

Clustering is one of the significant techniques for expanding the lifetime of networks in
wireless sensor networks (WSNs). It entails combining of sensor nodes (SNs) into clusters …

In wireless sensor networks, clustering techniques are widely used for cluster heads
selection and also to reduce power consumption. Therefore, these techniques are applied to …

Energy efficiency is a major concern in wireless sensor networks as the sensor nodes are
battery-operated devices. For energy efficient data transmission, clustering based …

An efficient cluster head selection algorithm in wireless sensor networks is proposed in this
paper. The implementation of the proposed algorithm can improve energy which allows the …

Purpose This paper aims to provide a prolonging network lifetime and optimizing energy
consumption in mobile wireless sensor networks (MWSNs). MWSNs have characteristics of …