Accurate information is most important in Wireless Sensor Networks (WSNs). Incorrect (faulty data) information makes wrong decision; it decreases the reliability in communication. Fault tolerance is one of the issues in WSNs . Proposed fault -tolerant data aggregation scheme for identifying the faulty data sent by the sensors to the cluster head, where the aggregation is performed. Identified faulty data eliminated before aggregation. It improves the data aggregation accuracy. Consequently, the transmission overhead is reduced. The proposed scheme provides better performance in discovering faulty data and nodes. The incorrect data detected and eliminated in wireless sensor networks.

1. C. Castelluccia, E. Mykletun and G. Tsudik Efficient aggregation of encrypted data in wireless sensor networks, Proc. Second Ann. Int`l Conf. Mobile and Ubiquitous systems, pp. 109-107, July 2005.
2. H. Cam, S. Ozdemir, P. Nair, D. Muthuavinashiappan and H. Ozgur sanli, Energy efficient secure pattern based data aggregation for wireless sensor networks, J. computer communication, vol. 29. pp446-455, 2006.
3. H. Salni, S. Ozdemir and H. Cam Secure reference based data aggregation protocol for wireless sensor networks, vol. 7, and pp. 4650-4654. sep. 2004.
4. J-Y. Chen, G. Pandurangan and D. Xu robust computation of aggregates in wireless sensor networks distributed randomized algorithm and analysis, IEEE Trans. Parallel distributed system vol. 17,no. 9,pp 987-1000, sep-2006.
5. R. Rajagopalan and P. Varshney, Data aggregation techniques in wireless sensor networks, A survey, IEEE comm. survey tutorials, vol. 8, no. 4, pp. 48-63,Oct-Nov. 2006.
6. Saeid Bahanfar, Helia Kousha, Ladan Darougaran, Neural networks for error correction and data aggregation in wireless sensor networks,vol. 8,issue 5,no3, September 2011.
7. L. J. Mpanza, T. Marwala, ant colony optimization of rough set for HV bushings fault detection.
8. H. Yu secure and highly available aggregation queries in large scale sensor networks via set samping, proc. IEEE int`l conf. information processing in sensor networks. pp. 1-12, 2009.
9. Stefano chessa, paolo santi, Crash fault identification in wireless sensor networks.
10. S. Basagni, M. Mastrogiovanni, A. panconesi, and C. Petrioli localized protocol for ad hoc clustering and backbone formation: a performance comparison, IEEE Trans, parallel distributed system, vol. 17, no. 4pp. 292-306, apr 2006.
11. Y. Yand, X. Wang, S. Zhu and G. Cao A survey hop by hop data aggregation protocol for sensor networks. ACM Trans. Information and security(TISSEC), vol,11,no. 4,pp. 1-43,2008.
12. Yan sun, Hong Luo, Sajal K. Das, A true based frame work for fault tolerant data aggregation in multimedia wireless sensor networks, vol. 9, no. 6, 2012.
13. D. Boneh, C. Gentry, B. Lynn and H. Shacham Aggregate and verifiably encrypted signatures from bilinear maps, proc. 22nd int`l conf theory and application of cryptographic techniques, pp. 416-432,2003.
14. G. De Meulenaer, F. Gosset, F. X. Standaert and L. vandendorpe, on the energy cost of communication and cryptography in wireless sensor networks, proc. IEEE int conf. wireless and mobile computing, networking and comm, pp. 580-58.

Cluster Head (ch) Error Detection Sink Fault-tolerant Sensor.