Abstract Wireless Sensor Networks (WSNs) encompass multiple sensor nodes. There is a
restrained amount of energy, memory capacity and information processing ability affiliated to …

Reduced energy utilization is an exigent task for these sensor networks. In this paper hybrid
energy efficient clustering algorithm for wireless sensor networks has been proposed, which …

In the past few years, the use of wireless sensor networks (WSNs) potentially increased in
applications such as intrusion detection, forest fire detection, disaster management and …

The past few years have witnessed increased interest in the potential use of wireless sensor
networks (WSNs) in applications such as environment monitoring, disaster management …

Clustering is a useful technique for reducing energy consumption in wireless sensor
networks (WSN). To achieve a better network lifetime performance, different clustering …

The applications of Wireless Sensor Networks (WSNs) are growing at rapid pace and
providing pervasive computing environments. Energy constraints is the most critical issue in …

Wireless sensor networks (WSN) are inheriting many application areas like environment
observation, target tracking, border monitoring and battle field surveillance. To alleviate the …

A wireless sensor network is subject to a unique set of resource constraints such as finite
battery power and constrained network communication bandwidth. Each sensor node has a …

Wireless sensor networks (WSNs) comprise a large number of small sensor nodes scattered
across limited geographical areas. The nodes in such networks carry sources of limited and …

Abstract A Wireless Sensor Network (WSN) consists of a huge number of tiny, lesser-cost
devices with higher sensing ranges, processing and transmitting abilities. Because the …