Classification of sensory data is a major research problem in wireless sensor networks and it
can be widely used in reducing the data transmission in wireless sensor networks effectively …

The wireless sensor nodes are getting smaller, but Wireless Sensor Networks (WSNs) are
getting larger with the technological developments, currently containing thousands of nodes …

Recently, data management and processing for wireless sensor networks (WSNs) has
become a topic of active research in several fields of computer science, such as the …

Wireless Sensor Network is a set of sensors that are integrated with a physical environment.
Assortment of sensor nodes systematized into a network is also known as Wireless Sensor …

Over the past few years, wireless sensor networks (WSN) have emerged as one of the most
exciting fields in Computer Science research. A Wireless Sensor Network (WSN) is a set of …

Wireless Sensor Network is one of the most important technologies, which is being used in
computer science. It consists of smart sensor nodes which can sense and communicative in …

Current years have witnessed the emergence of wireless sensor networks (WSNs) as a new
informationgathering paradigm, in which a large number of sensors scatter over a …

In today's era, Wireless Sensor Networks (WSN) is used in various application areas like
home, health, agriculture to name a few. WSN comprises of large number of tiny sensor …

Sensor Networks (SNs) produces huge amount of data which offer promising prospect for
the application of data analysis techniques to extract useful information for end users …

This paper proposes a layered modular architecture to adaptively perform data mining tasks
in large sensor networks. The architecture consists in a lower layer which performs data …