Energy Efficient Approach through Clustering and Data Filtering in WSN

Wireless Sensor Network has been widely used in various application areas like patient care, habitat monitoring, sensing physical parameters, traffic monitoring and so on. The resource limitation of sensor nodes has forced the researchers to innovate new techniques for improving the network lifetime. Many techniques have been proposed like clustering, data fusion, data filtering, routing in homogenous as well as in heterogeneous networks. Due to resource limitation and availability of different types of sensor nodes; the focus has been shifted towards heterogeneous networks. The approach of limited mobility with few mobile sensor nodes has also been suggested for network longevity. Clustering and data aggregation in heterogeneous networks has been playing an important role in wireless sensor networks. In this paper; clustering and data filtering approach has been used in heterogeneous networks for network longevity. Among clustering algorithms, a comparison of VAS (Voronoi Ant Systems) and LEACH-C (Low Energy Adaptive Clustering Hierarchy-Centralized) has been presented. Among data filtering algorithms, a comparison of MTWSW (Modified Two Way Sliding Window) and TWSW (Two Way Sliding Window) algorithm has been presented. The approach used in this paper is applicable both for critical as well as for non-critical applications in wireless sensor networks.