Reduction of energy consumption in wireless sensor network using data aggregation technique

A wireless sensor network typically includes a huge number of low-powered, less-cost sensing devices called as sensors with restricted computational, memory and communication assets. In the data aggregation technique, the information of sensor nodes is merged at cluster head nodes and then transmitted that aggregated data to the base station. The sensor nodes consume energy during sensing, processing and transmission. In wireless sensor network power and energy resources are limited. If every node sends data to the base station, energy will be wasted and thus the network energy will be consume quickly. Existing work in the literature uses PCA (Principle Component Analysis) and CS(Compressed Sensing) strategies. The proposed algorithms are Iterative Case Filtering (ICF) is used to decrease the energy consumption in an energy efficient manner and SHA (Secure Hash Algorithm) for matching sender and receivers hash key. If both the hash keys are same then data will be sent and duplicated packets will be discarded to reduce network traffic.