Outlier detection based fault tolerant data aggregation for wireless sensor networks

2011 5th International Conference on Application of Information and Communication Technologies, AICT 2011

Volumn , Issue , 2011, Pages

  Ozdemir, Suat ^a   Xiao, Yang ^b  

^a GAZI UNIVERSITY   (Turkey)

^b Department of Computer Science   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONSERVE ENERGY; DATA AGGREGATION; FALSE DATA; FAULT-TOLERANT; LOCALITY SENSITIVE HASHING; MISSION CRITICAL; NETWORK LIFETIME; OUTLIER DETECTION; REDUCING ENERGY CONSUMPTION;

COMMUNICATION; ENERGY UTILIZATION; FAULT DETECTION; INFORMATION TECHNOLOGY; SENSORS; STATISTICS;

SENSOR NODES;

EID: 84855942598     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICAICT.2011.6110983     Document Type: Conference Paper

References (19)

1. I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, "A survey on sensor networks", IEEE Communications Magazine, 40(8), pp. 102-114, Aug. 2002.
2. S. Ozdemir and H. Çam, "Integration of False Data Detection With Data Aggregation and Confidential Transmission in Wireless Sensor Networks", IEEE/ACM Transactions on Networking, vol.18, no.3, pp.736-749, Jun. 2010.
3. S. Ozdemir and Y. Xiao, "Secure Data Aggregation in Wireless Sensor Networks: A Comprehensive Overview", Computer Networks, vol.53, no. 12, pp. 2022-2037, 2009.
4. Adrian Perrig, Robert Szewczyk, Doug Tygar, Victor Wen, and David Culler "SPINS: Security protocols for sensor networks", Wireless Networks Journal (WINE), September 2002.
5. E. Shi and A. Perrig, "Designing Secure Sensor Networks", Wireless Commununications Magazine, vol. 11, no. 6, pp. 38-43, 2004. (Pubitemid 40021188)
6. X. Ma, D. Yang, S. Tang, Q. Luo, D. Zhang, and S. Li, "Online Mining in Sensor Networks", IFIP international coriference on network and parallel computing, vol. 3222, pp. 544-550, 2004.
7. J. Han and M. Kamber, "Data Mining: Concepts and Techniques", Morgan Kaufmann, San Francisco, 2006.
8. M. Charikar, "Similarity estimation techniques from rounding algorithms", Proc of STOC'02: The Thiry-Fourth Annual ACM Symposium on Theory of Computing, pp. 380-388, 2002.
9. E. Elnahrawy and B. Nath, "Cleaning and Querying Noisy Sensors", Proc. of WSNA03, pp. 78-87, 2003.
10. V.J. Hodge and J. Austin, "A survey of outlier detection methodologies", Artificial Intelligence Review, no. 22, pp. 85-126, 2004.
11. C. Heinz and B. Seeger, "Statistical Modeling of Sensor Data and its application to Outlier Detection"', Technical Report 2006/07, University of Stuttgart, 2006.
12. B. Sheng, Q. Li, W. Mao, and W. Jin, "Outlier detection in sensor networks", Proc. of MobiHoc, pp. 219-227, 2007.
13. S. Jeffery, G. Alonso, M. J. Franklin, W. Hong, and J. Widom, "Declarative Support for Sensor Data Cleaning", Proc. of Pervasive Computing, 2006.
14. Y. j. Wen, A. M. Agogino, and K.Goebel, "Fuzzy Validation and Fusion for Wireless Sensor Networks", Proc. of ASME, 2004.
15. Y. Zhuang, L. Chen, S. Wang, and J. Lian, "A Weighted Moving Average-based Approach for Cleaning Sensor Data", Proc. of ICDCS, 2007.
16. M.M. Breunig, H.-P. Kriegel, R.T. Ng, and J. Sander, "LOF: identifying density-based local outliers", SIGMOD Rec. 29, vol. 2, pp. 93-104, 2000.
17. A. Andoni and P. Indyk, "Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions", Communications of the ACM, vol. 51, no. 1, pp. 117-122, 2008.
18. G. Xue, Y. Jiang, Y. You, and M. Li, "A topology-aware hierarchical structured overlay network based on locality sensitive hashing scheme", Proc. of UPGRADE, pp. 3-8, 2007.
19. TinyOS Simulator, http://www.tinyos.net. 2011.