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Abstract

Wireless sensor networks provide a model in which sensors are deployed in large numbers where traditional wired or wireless networks are not available/appropriate. Their intended uses include terrain monitoring, surveillance, and discovery [11] with applications to geological tasks such as tsunami and earthquake detection, military surveillance, search and rescue operations, building safety surveillance (e.g. for fire detection), and biological systems.

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Notes

  1. 1.

    Wherever rank in a set is mentioned, it should be understood that this rank is over a sequence obtained by sorting the elements of the set.

  2. 2.

    Here we use the word anomaly to indicate a situation whose likelihood is small according to the given normal distribution.

References

  1. I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “A Survey on Sensor Networks”, in IEEE Communications Magazine, vol. 40, no. 8, pp. 102–114, 2002.

    Article  Google Scholar 

  2. J. Al-Karaki and A. Kamal, “Routing Techniques in Wireless Sensor Networks: A Survey”, in IEEE Wireless Communications, vol. 11, no. 6, pp. 6–28, 2004.

    Article  Google Scholar 

  3. S. Banerjee and S. Khuller, “A Clustering Scheme for Hierarchical Control in Multi-hop Wireless Networks”, in Proc. IEEE INFOCOM’01, Anchorage, AK, Apr. 2001.

    Google Scholar 

  4. A. Boukerche, R. Pazzi, and R. Araujo, “A Fast and Reliable Protocol for Wireless Sensor Networks in Critical Conditions Monitoring Applications”, in Proc. ACM MSWiM’04, Venice, Italy, Oct. 2004.

    Google Scholar 

  5. D. Braginsky and D. Estrin, “Rumor Routing Algorithm for Sensor Networks”, in Proc. WSNA’02, Atlanta, GA, Sep. 2002.

    Google Scholar 

  6. C. Buragohain, D. Agrawal, and S. Suri, “Power Aware Routing for Sensor Databases”, in Proc. IEEE INFOCOM’05, Miami, FL, Mar. 2005.

    Google Scholar 

  7. M. Chu, H. Haussecker, and F. Zhao, “Scalable Information-Driven Sensor Querying and Routing for Ad Hoc Heterogeneous Sensor Networks”, in International Journal of High Performance Computing Applications, vol. 16, no. 3, pp. 293–313, 2002.

    Article  Google Scholar 

  8. D. Estrin, R. Govindan, J. Heidemann, and S. Kumar, “Next Century Challenges: Scalable Coordination in Sensor Networks”, in Proc. ACM MOBICOM’99, Seattle, WA, Aug. 1999.

    Google Scholar 

  9. M. Greenwald and S. Khanna, “Power-Conserving Computation of Order-Statistics over Sensor Networks”, in Proc. ACM PODS’04, Paris, France, Jun. 2004.

    Google Scholar 

  10. W. Heinzelman, J. Kulik, and H. Balakrishnan, “Adaptive Protocols for Information Dissemination in Wireless Sensor Networks”, in Proc. ACM MOBICOM’99, Seattle, WA, Aug. 1999.

    Google Scholar 

  11. W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-Efficient Communication Protocol for Wireless Microsensor Networks”, in Proc. Hawaaian International Conference on Systems Science (HICSS’00), Wailea Maui, HI, Jan. 2000.

    Google Scholar 

  12. W. Hoeffding, “Probability Inequalities for Sums of Bounded Random Variables”, in Journal of the American Statistical Association, vol. 58, no. 301, pp. 13–30, 1963.

    Article  MathSciNet  Google Scholar 

  13. C. Intanagonwiwat, R. Govindan, and D. Estrin, “Directed Diffusion: A Scalable and Robust Communication Paradigm for Sensor Networks”, in Proc. ACM MOBICOM’00, Boston, MA, Aug. 2000.

    Google Scholar 

  14. C. Intanagonwiwat, D. Estrin, R. Govindan, and J. Heidemann, “Impact of Network Density on Data Aggregation in Wireless Sensor Networks”, in Proc. IEEE ICDCS’02, Vienna, Austria, Jul. 2002.

    Google Scholar 

  15. V. Kawadia and P. Kumar, in the Power Control and Clustering in Ad-hoc Networks, in Proc. IEEE INFOCOM’03, San Francisco, CA, Mar. 2003.

    Google Scholar 

  16. B. Krishnamachari, D. Estrin, and S. Wicker, “the Impact of Data Aggregation in Wireless Sensor Networks”, in Proc. IEEE ICDCS Workshop on Distributed Event-based System (DEBS’02), Vienna, Austria, Jul. 2002.

    Google Scholar 

  17. S. Lindsey and C. Raghavendra, “PEGASIS: Power-Efficient Gathering in Sensor Networks”, in IEEE Aerospace Conference Proceedings, vol. 3, pp. 1125–1130, 2002.

    Google Scholar 

  18. S. Madden, R. Szewczyk, M. Franklin, and W. Hong, “Supporting Aggregate Queries over Ad-Hoc Wireless Sensor Networks”, in Proc. IEEE International Workshop on Mobile Computing Systems and Application (WMCSA’02), Callicon, NY, Jun. 2002.

    Google Scholar 

  19. S. Madden, M. Franklin, J. Hellerstein, and W. Hong, “Tag: A Tiny Aggregation Service for Ad hoc Sensor Networks”, in Proc. USENIX OSDI’02, Boston, MA, Dec. 2002.

    Google Scholar 

  20. N. Sadagopan, B. Krishnamachari, and A. Helmy, “the ACQUIRE Mechanism for Efficient Querying in Sensor Networks”, in Proc. the IEEE International Workshop on Sensor Network Protocol and Applications (SNPA’03), Seattle, WA, May. 2003.

    Google Scholar 

  21. N. Shrivastava, C. Buragohain, D. Agrawal, and S. Suri, “Medians and Beyond: New Aggregation Techniques for Sensor Networks”, in Proc. ACM SENSYS’04, Baltimore, MD, Nov. 2004.

    Google Scholar 

  22. J. Wieselthier, G. Nguyen, and A. Ephremides, “On the Construction of Energy-Efficient Broadcast and Multicast Trees in Wireless Networks”, in Proc. IEEE INFOCOM’00, Tel-Aviv, Israel, Mar. 2000.

    Google Scholar 

  23. Y. Yao and J. Gehrke, “Query Processing for Sensor Networks”, in Proc. CIDR’03, Asilomar, CA, Jan. 2003.

    Google Scholar 

  24. O. Younis and S. Fahmy, “Distributed Clustering in Ad-hoc Sensor Networks: A Hybrid, Energy-Efficient Approach”, in Proc. IEEE INFOCOM’04, Hong Kong, China, Mar. 2004.

    Google Scholar 

  25. Y. Yu, B. Krishnamachari, and V. Prasanna, “Energy-Latency Tradeoffs for Data Gathering in Wireless Sensor Networks”, in Proc. IEEE INFOCOM’04, Hong Kong, China, Mar. 2004.

    Google Scholar 

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Wang, D., Han, Z. (2015). Application on Wireless Sensor Networks. In: Sublinear Algorithms for Big Data Applications. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-20448-2_3

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  • DOI: https://doi.org/10.1007/978-3-319-20448-2_3

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