Unfailing secure data aggregation protocol in wireless sensor networks Hari D Sri1, Sreekanth S. N.2 1Assoc. Prof, Dept of ECE, Sri Venkateswara College of Engineering and Technology, Chittoor, A.P. 2Asst. Prof, Dept of ECE, Siddartha Educational Academy Group of Institutions, C. Gollapalli, Tirupati, Andhra Pradesh, India Online published on 1 November, 2018. Abstract In wireless sensor network (WSN), security is an essential as well as difficult mission. Data aggregation process is checking of duplication of data after encryption, overhead due to encryption etc. The integrity, data privacy in addition to security issue in data aggregation turn into very important when the sensor network is disposal in a aggressive surroundings (eg, battle field). To solve this problem, Unfailing Secure Data Aggregation Protocol (USDA) in WSNs is projected. Here, Extended Kalman filter (EKF) method is used to sense fake data which is to be inserted. In this scheme, particularly by observing behaviors of data aggregator in addition to using EKF to forecast their authentic in-network gathered values, every node focus at fixing up a standard range of the neighbors’ prospect transmit gathered ranges. This is a difficult work since potential elevated packet loss rate, harsh environment, and sensing uncertainty. By using dissimilar gathering functions such as min, sum, average, and max likelihood ratio to increase detection sensitivity. Top Keywords Secure Data Aggregation, Extended Kalman Filter, Clustering, Energy Efficiency, Wireless Sensor Network. Top |