Performance Evaluation of Data Filtering Approach in Wireless Sensor Networks for Energy Efficiency

Wireless Sensor Network is a field of research which is viable in every application area like security services, patient care, traffic regulations, habitat monitoring and so on. The resource limitation of small sized tiny nodes has always been an issue in wireless sensor networks. Various techniques for improving network lifetime have been proposed in the past. Now the attention has been shifted towards heterogeneous networks rather than having homogeneous sensor nodes in a network. The concept of partial mobility has also been suggested for network longevity. In all the major proposals; clustering and data aggregation in heterogeneous networks has played an integral role. This paper contributes towards a new concept of clustering and data filtering in wireless sensor networks. In this paper we have compared voronoi based ant systems with standard LEACH-C algorithm and MTWSW with TWSW algorithm. Both the techniques have been applied in heterogeneous wireless sensor networks. This approach is applicable both for critical as well as for non-critical applications in wireless sensor networks. Both the approaches presented in this paper outperform LEACH-C and TWSW in terms of energy efficiency and shows promising results for future work.