Analysis of Secure Data Aggregation Technique for Wireless Sensor Network

Abstract

As we have now confined energy resources and computational power, data aggregation from multiple sensor nodes is completed using easy approaches equivalent to averaging. WSN’s are quite often unattended, they're extremely vulnerable to node compromising assaults. As a result making it essential to determine trustworthiness of data and reputation of sensor nodes is valuable for WSN. Iterative Filtering algorithms have been learned to be very useful in this rationale. Such algorithms participate in data aggregation and provide trustworthiness comparison to the nodes within the form of weight explanations.These algorithms concurrently combination data from more than one sources and furnish a trust estimation of these sources, by and large in a type of corresponding weight explanations assigned to data provided with the aid of each and every source.