A power-efficient K-means clustering algorithm for Wireless Sensor Networks (WSN) is
proposed. This algorithm aims to manage the consumption of energy by WS nodes and …

Wireless sensor networks (WSNs) have come forth as a new robust and dynamic technology
being adopted in many real-world applications. A WSN is composed of sensor nodes used …

Energy efficient clustering and routing are two well known optimization problems which have
been studied widely to extend lifetime of wireless sensor networks (WSNs). This paper …

Clustering is an efficient topology control method which balances the traffic load of the
sensor nodes and improves the overall scalability and the life time of the wireless sensor …

Clustering sensor nodes is an effective topology control method to reduce energy
consumption of the sensor nodes for maximizing lifetime of Wireless Sensor Networks …

Wireless sensor networks have been employed widely in various fields, including military,
health care, and manufacturing applications. However, the sensor nodes are limited in terms …

Conservation of energy and fault tolerance are two major issues in the deployment of a
wireless sensor network (WSN). Design of clustering and routing algorithms for a large scale …

Wireless sensor networks (WSNs) form an important part of industrial application. There has
been growing interest in the potential use of WSNs in applications such as environment …

Fault diagnosis has been considered as a very challenging problem in wireless sensor
network (WSN) research. Faulty nodes having different behavior such as hard, soft …

Energy conservation is the main issue in wireless sensor networks. Many existing clustering
protocols have been proposed to balance the energy consumption and maximize the battery …