ABSTRACT

The past few years have witnessed increased interest in the potential use of wireless sensor networks in applications such as environment management and various surveillance. The Sensor nodes in these applications are expected to be remotely deployed in large numbers and to operate autonomously in unattended environments. As per scalability, the nodes are often grouped into disjoint and mostly non-overlapping clusters. We propose K-mean clustering used wireless sensor network. The method can divide a sensor network into a few clusters.