Tree based aggregation for preventing compromised node's intention in WSN

Wireless sensor networks commonly implemented in such areas like volcano, fire observing, remote sensing and in army etc. Communication cost as well as energy utilization is minimized by implementing strategy called as data aggregation in wireless sensor networks. At the time of data routing, partial outcomes are consolidated by the data aggregation method from lower layer nodes. Related work illustrates number of researchers are proposed different aggregation methods such as synopsis diffusion, predicate count and sum technique. Issue is that these aggregation techniques don't have capability to recognize fake sub aggregate of compromise nodes. Problem is that this can causes huge errors at base station. Logical OR operation is performed by this system for aggregation of the digest at mediatory node. This system causes more risk at the time of information modification. To solve this problem, our system implements appending method to decrease the risk in data aggregation. In our proposed system, base station has capability to recognize the optional path through eliminating the attacker by using collected MAC. Experimental outcomes are demonstrates the proposed system execution is best as compare with the previous system.