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Realistic Applications for Wireless Sensor Networks

Profile image of John StankovicJohn Stankovic

2010, Monographs in theoretical computer science

https://doi.org/10.1007/978-3-642-14849-1_25
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28 pages

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Abstract

Military surveillance, home health care or assisted living, and environmental science are three major application areas for wireless sensor networks. Revolutionary changes are possible in these areas by using wireless sensor networks. To show the breadth and advantages of wireless sensor networks, design and implementation details are presented for three systems, one in each of these three application domains. Key research challenges and the approaches taken to address them are highlighted. Challenges requiring significantly improved solutions are also identified. These systems and others like them provide significant evidence for the utility of wireless sensor networks.

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References (42)

  1. Brantley, S.T., Young, D.R.: Leaf-area index and light attenuation in rapidly expanding shrub thickets. Ecology 88(2), 524-530 (2007)
  2. Cao, Q., Stankovic, J.A.: An in-field maintenance framework for wireless sensor networks. In: Proc. of DCOSS (2008)
  3. Capkun, S., Hubaux, J.P.: Secure positioning of wireless devices with application to sensor networks. In: Proceedings of IEEE INFOCOM (2005)
  4. Cerpa, A., Estrin, D.: Ascent: Adaptive self-configuring sensor networks topologies. In: Pro- ceedings of INFOCOM (2002)
  5. Chan, H., Perrig, A., Song, D.: Random key predistribution schemes for sensor networks. In: IEEE Symposium on Research in Security and Privacy, pp. 197-213 (2003)
  6. CrossBow: Mica2 data sheet. Available at http://www.xbow.com
  7. Dutta, P., Grimmer, M., Arora, A., Biby, S., Culler, D.: Design of a Wireless Sensor Network Platform for Detecting Rare, Random, and Ephemeral Events. In: IPSN'05 (2005)
  8. Ganti, R.K., Jayachandran, P., Abdelzaher, T.F.: SATIRE: A software architecture for Smart AtTIRE. In: 4th ACM Conference on Mobile Systems, Applications, and Services (Mobisys 2006) (2006)
  9. Gu, L., Stankovic, J.A.: t-kernel: Providing reliable os support for wireless sensor networks. In: Proc. of ACM Conf. on Embedded Networked Sensor Systems (SenSys'06) (2006)
  10. He, T., Krishnamurthy, S., Yan, L.L.T., Gu, L., Stoleru, R., Zhou, G., Cao, Q., Vicaire, P., Stankovic, J., Abdelzaher, T., Hui, J., Krogh, B.: Vigilnet: An integrated sensor network sys- tem for energy efficient surveillance. ACM Transactions on Sensor Networks 2(1), 1-38 (2006)
  11. He, T., Vicaire, P., Yan, T., Cao, Q., Zhou, G., Gu, L., Luo, L., Stoleru, R., Stankovic, J.A., Abdelzaher, T.: Achieving Long-Term Surveillance in VigilNet. In: The 25th Conference on Computer Communications (INFOCOM 2006), pp. 1-12 (2006)
  12. He, T., Vicaire, P., Yan, T., Luo, L., Gu, L., Zhou, G., Stoleru, R., Cao, Q., Stankovic, J., Abdelzaher, T.: Achieving real-time target tracking using wireless sensor networks. ACM Transactions on Embedded Computing System 30(5), 627-633 (2008)
  13. Hui, J., Culler, D.: The Dynamic Behavior of a Data Dissemination Protocol for Network Pro- gramming at Scale. In: Second ACM Conference on Embedded Networked Sensor Systems (SenSys 2004) (2004)
  14. Juang, P., Oki, H., Wang, Y., Martonosi, M., Peh, L.S., Rubenstein, D.: Energy-efficient com- puting for wildlife tracking: design tradeoffs and early experiences with zebranet. In: Proc. of ASPLOS-X, pp. 96-107 (2002)
  15. Kamat, P., Zhang, Y., Trappe, W., Osturk, C.: Enhancing source location privacy in sensor network routing. In: Proc. Int. Conf. on Distributed Computing Systems (2005)
  16. Katz, S., Ford, A.B., Moskowitz, R.W., Jackson, B.A., Jaffe, M.W.: Studies of illness in the aged. the index of adl: A standardized measure of biological and psychosocial function. Jour- nal of the American Medical Association 185, 914-919 (1963)
  17. Luo, L., Abdelzaher, T., He, T., Stankovic., J.A.: EnviroSuite: An Environmentally Immersive Programming Framework for Sensor Networks. ACM Transactions on Embedded Computing System, Special issue on Dynamically Adaptable Embedded Systems 5(3) (2006)
  18. Luo, L., He, T., Zhou, G., Gu, L., Abdelzaher, T., Stankovic, J.: Achieving Repeatability of Asynchronous Events in Wireless Sensor Networks with EnviroLog. In: The 25th Conference on Computer Communications (INFOCOM 2006), pp. 1-14 (2006)
  19. Madden, S., Franklin, M.J., Hellerstein, J.M., Hong, W.: TinyDB: An acqusitional query pro- cessing system for sensor networks. ACM TODS 30(1), 122-173 (2005)
  20. Mainwaring, A., Culler, D., Polastre, J., Szewczyk, R., Anderson, J.: Wireless sensor networks for habitat monitoring. In: Proc. of WSNA, pp. 88-97 (2002)
  21. Maroti, M., Kusy, B., Simon, G., Ledeczi, A.: The Flooding Time Synchronization Protocol. In: Second ACM Conference on Embedded Networked Sensor Systems (SenSys 2004) (2004)
  22. Paradis, L., Han, Q.: A survey of fault management in wireless sensor networks. Journal of Network and Systems Management 15(2) (2007)
  23. Perrig, A., Stankovic, J., Wagner, D.: Security in wireless sensor networks. Commun. ACM 47(6), 53-57 (2004)
  24. President's Information Technology Advisory Committee (PITAC), Revolutionizing Health Care Through Information Technology (2004). URL: http://www.nitrd.gov/ pitac/reports/20040721_hit_report.pdf
  25. Ramanathan, N., Chang, K., Girod, L., Kapur, R., Kohler, E., Estrin, D.: Sympathy for the sensor network debugger. In: In Proceedings of the 3rd ACM International Conference on Embedded Networked Sensor Systems (SenSys) (2005)
  26. Rost, S., Balakrishnan, H.: Memento: A health monitoring system for wireless sensor net- works. In: Proceedings of IEEE SECON (2006)
  27. Selavo, L., Wood, A., Cao, Q., Srinivasan, A., Liu, H., Sookoor, T., Stankovic, J.: Luster: Wireless sensor network for environmental research. ACM Sensys (2007)
  28. Selavo, L., Zhou, G., Stankovic, J.: SeeMote: In-situ visualization and logging device for wireless sensor networks. In: Proc. of BASENETS (2006)
  29. Stankovic, J.: When sensor and actuator networks cover the world. ETRI Journal 30(5), 627- 633 (2008)
  30. Stoleru, R., He, T., Stankovic, J.A.: Walking GPS: A Practical Solution for Localization in Manually Deployed Wireless Sensor Networks. In: 1st IEEE Workshop on Embedded Net- worked Sensors EmNetS-I (2004)
  31. Szewczyk, R., Mainwaring, A., Polastre, J., Anderson, J., Culler, D.: An analysis of a large scale habitat monitoring application. In: Proc. of SenSys, pp. 214-226 (2004)
  32. Szewczyk, R., Polastre, J., Mainwaring, A.M., Culler, D.E.: Lessons from a sensor network expedition. In: H. Karl, A. Willig, A. Wolisz (eds.) EWSN, Lecture Notes in Computer Sci- ence, vol. 2920, pp. 307-322. Springer (2004)
  33. Tolle, G., Polastre, J., Szewczyk, R., Culler, D., Turner, N., Tu, K., Burgess, S., Dawson, T., Buonadonna, P., Gay, D., Hong, W.: A macroscope in the redwoods. In: Proc. of SenSys, pp. 51-63 (2005)
  34. Vicaire, P., He, T., Yan, T., Cao, Q., Gu, G.Z.L., Luo, L., Stoleru, R., Stankovic, J., Abdelzaher, T.: Achieving long term surveillance in vigilnet. IEEE Computer 5(1), 1-39 (2009)
  35. Virone, G., Alwan, M., Dalal, S., Kell, S., Turner, B., Stankovic, J.A., Felder, R.: Behavioral patterns of older adults in assisted living. Information Technology in Biomedicine 12(3), 387-398 (2008)
  36. Virone, G., Noury, N., Demongeot, J.: A system for automatic measurement of circadian ac- tivity deviation in telemedicine. IEEE Transactions on Biomedical Engineering 49(12), 1463- 1469 (2002)
  37. Welsh, M., Werner-Allen, G., Lorincz, K., Marcillo, O., Johnson, J., Ruiz, M., Lees, J.: Sensor networks for high-resolution monitoring of volcanic activity. In: Proc. of SOSP, pp. 1-13 (2005)
  38. Werner-Allen, G., Lorincz, K., Welsh, M., Marcillo, O., Johnson, J., Ruiz, M., Lees, J.: De- ploying a wireless sensor network on an active volcano. IEEE Internet Computing 10(2), 18-25 (2006)
  39. Wood, A., Stankovic, J., Virone, G., Selavo, L., He, Z., Cao, Q., Doan, T., Wu, Y., Fang, L., Stoleru, R.: Context-aware wireless sensor networks for assisted living and residential monitoring. IEEE Network 22(4), 26-33 (2008)
  40. Wood, A.D., Selavo, L., Stankovic, J.A.: SenQ: An embedded query system for streaming data in heterogeneous interactive wireless sensor networks. In: International Conference on Distributed Computing in Sensor Systems (DCOSS), Lecture Notes in Computer Science, vol. 5067, pp. 531-543. Springer Berlin (2008)
  41. Wood, A.D., Stankovic, J.A.: Denial of service in sensor networks. IEEE Computer 35(10), 54-62 (2002)
  42. Zhou, G., He, T., Stankovic, J.A.: Impact of Radio Irregularity on Wireless Sensor Networks. In: The Second International Conference on Mobile Systems, Applications, and Services (Mo- biSys) (2004)

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