Now-a-days, sensors are very essential for day-to-day life to monitor environment where human cannot get involved very often. Wireless Sensor Networks (WSNs) is employed in a wide range of applications such as environmental monitoring, traffic control, trajectory monitoring etc. Sensors sense and collect a large amount of data which are continuous over time, which in turn need to be forwarded to sink for further decision making process .This paper presents K-means Cluster node Data Aggregation (K-CDA) algorithm for grouping sensor nodes there by reducing number of nodes transmitting data to sink node, it reduces the communication overhead and in this manner increase the network performance.