Design of MAP-REDUCE and K-MEANS based network clustering protocol for sensor networks

A Wireless Sensor Network (WSN) consists of a large number of small sensors with limited battery power. Prolonged network lifetime, scalability, node mobility and load balancing are important requirements for many WSN applications. Clustering the sensor nodes is an effective technique to achieve these goals. The different clustering algorithms also differ in their objectives. This paper proposes a new method to achieve these goals and the proposed method depends on MAP-REDUCE programming model and K-MEANS clustering algorithm.