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A Survey of Intelligent Information Processing in Wireless Sensor Network

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Mobile Ad-hoc and Sensor Networks (MSN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 3794))

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Abstract

The main goal of wireless sensor networks is to collect information from the target environment through a large number of micro sensor nodes. However, the constrained resource on each senor node brings great challenges to the information processing procedure in sensor networks. An overview and some open issues of the intelligent information processing approaches in wireless sensor networks are given in this paper to meet these challenges, which include in-network data aggregation and data compression algorithms, distributed database storage and query strategies, and multi-sensor data fusion rules. The advantages and disadvantages of every approach are also discussed.

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References

  1. Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless sensor networks: a survey. Computer Networks 38, 393–422 (2002)

    Article  Google Scholar 

  2. Cui, L., Ju, H.L., Miao, Y., Li, T.P., Liu, W., Zhao, Z.: Study on Wireless Sensor Networks. Computer Research and Development 42(1), 163–174 (2005)

    Article  Google Scholar 

  3. Yu, H.B., Zeng, P., Wang, Z.F., Liang, Y., Shang, Z.J.: Study On Distributed Wireless Sensor Networks Communication Protocols. Journal of Communication 25(10), 102–110 (2004)

    Google Scholar 

  4. Pottie, G.J., Kaiser, W.J.: Wireless Integrated Network Sensors. Communications of the ACM 43(5), 51–58 (2000)

    Article  Google Scholar 

  5. Warneke, B., Last, M., Liebowitz, B., Pister, K.S.J.: Smart Dust: communicating with a cubic-millimeter computer. Computer 34(1), 44–51 (2001)

    Article  Google Scholar 

  6. uAMPS: http://www-mtl.mit.edu/research/icsystems/uamps

  7. SensIT: http://www.sainc.com/sensit/

  8. Intanagonwiwat, C., Govindan, R., Estrin, D.: Directed Diffusion: A Scalable and Robust Communication Paradigm for Sensor Networks. In: MOBICOM 2000 (August 2000)

    Google Scholar 

  9. Heidemann, J., Silva, F., Intanagonwiwat, C., Govindan, R., Estrin, D., Ganesan, D.: Building Efficient Wireless Sensor Networks with Low-Level Naming. ACM SIGOPS Operating Systems Review 35(5), 146–159 (2001)

    Article  Google Scholar 

  10. Intanagonwiwat, C., Estrin, D., Govindan, R., Heidemann, J.: Impact of Network Density on Data Aggregation in Wireless Sensor Networks. In: The 22nd International Conference on Distributed Computing Systems (July 2002)

    Google Scholar 

  11. Zhao, J., Govindan, R., Estrin, D.: Computing aggregates for monitoring wireless sensor networks. In: 2003 IEEE International Workshop on Sensor Network Protocols and Applications, May 11, pp. 139–148 (2003)

    Google Scholar 

  12. Ding, M., Cheng, X.Z., Xue, G.L.: Aggregation tree construction in sensor networks. In: IEEE 58th VTC 2003-Fall, October 6-9, vol. 4, pp. 2168–2172 (2003)

    Google Scholar 

  13. Boulis, A., Ganeriwal, S., Srivastava, M.B.: Aggregation in sensor networks: an energy-accuracy trade-off. In: 2003 IEEE International Workshop on Sensor Network Protocols and Applications, May 11, pp. 128–138 (2003)

    Google Scholar 

  14. Al-Karaki, J.N., Ul-Mustafa, R., Kamal, A.E.: Data aggregation in wireless sensor networks- exact and approximate algorithms. In: HPSR. 2004 Workshop on High Performance Switching and Routing, pp. 241–245 (2004)

    Google Scholar 

  15. Solis, I., Obraczka, K.: The impact of timing in data aggregation for sensor networks. In: 2004 IEEE International Conference on Communications, June 20-24, vol. 6, pp. 3640–3645 (2004)

    Google Scholar 

  16. Chou, J., Petrovic, D., Ramchandran, K.: Signals,Tracking and exploiting correlations in dense sensor networks. In: The Thirty-Sixth Asilomar Conference on Systems and Computers, vol. 1, pp. 39–43 (2002)

    Google Scholar 

  17. Chou, J., Petrovic, D., Kannan, R.: A distributed and adaptive signal processing approach to reducing energy consumption in sensor networks. In: INFOCOM 2003. Twenty-Second Annual Joint Conference of the IEEE Computer and Communications Societies, March 30- April 3, vol. 2, pp. 1054–1062. IEEE, Los Alamitos (2003)

    Google Scholar 

  18. Arici, T., Gedik, B., Altunbasak, Y., Liu, L.: PINCO: a pipelined in-network compression scheme for data collection in wireless sensor networks. In: ICCCN 2003. The 12th International Conference on Computer Communications and Networks, October 20-22, pp. 539–544 (2003)

    Google Scholar 

  19. Seung, J.B., Veciana, G.D., Su, X.: Minimizing energy consumption in large-scale sensor networks through distributed data compression and hierarchical aggregation. IEEE Journal on Selected Areas in Communications 22(6), 1130–1140 (2004)

    Article  Google Scholar 

  20. Pattern, S., Krishnamachari, B., Govindan, R.: The impact of spatial correlation on routing with compression in wireless sensor networks. In: IPSN 2004. Third International Symposium on Information Processing in Sensor Networks, pp. 28–35 (2004)

    Google Scholar 

  21. Madden, S., Szewczyk, R., Franklin, M.J., Culler, D.: Supporting aggregate queries over ad-hoc wireless sensor networks. In: Fourth IEEE Workshop on Mobile Computing Systems and Applications, pp. 49–58 (2002)

    Google Scholar 

  22. Li, X., Kim, Y.J., Govindan, R., Hong, W.: Multi-dimensional Range Queries in Sensor Networks. In: Proceedings of the 1st international conference on Embedded networked sensor systems (November 2003)

    Google Scholar 

  23. Bonfils, B.J., Bonnet, P.: Adaptive and Decentralized Operator Placement for In-Network Query Processiong. In: Zhao, F., Guibas, L.J. (eds.) IPSN 2003. LNCS, vol. 2634, pp. 47–62. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  24. Das, S., Shuster, K., Wu, C.: The ACQUIRE Mechanism for Efficient Querying in Sensor Networks. In: Proceedings of the first international joint conference on Autonomous agents and multiagent systems (July 2002)

    Google Scholar 

  25. Newsome, J., Song, D.: GEM: Graph EMbedding for Routing and Data-Centric Storage in Sensor Network Without Geographic Information. In: Proceedings of the 1st international conference on Embedded networked sensor systems (November 2003)

    Google Scholar 

  26. Ganesan, D., Greenstein, B., Perelyubskiy, D., Estrin, D., Heidemann, J.: An Evaluation of Multi-resolution Storage for Sensor Network. In: Proceedings of the first international conference on Embedded networked sensor systems (November 2003)

    Google Scholar 

  27. Patil, S., Das, S.R., Nasipuri, A.: Serial Data Fusion Using Space-filling Curves in Wireless Sensor Networks. In: IEEE SECON 2004. First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, pp. 182–190 (2004)

    Google Scholar 

  28. Wang, T.Y., Han, Y.S., Varshney, P.K.: A combined decision fusion and channel coding scheme for fault-tolerant classification in wireless sensor networks. In: ICASSP 2004. IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 1073–1076 (2004)

    Google Scholar 

  29. Wong, J.L., Jafari, R., Potkonjak, M.: Gateway placement for latency and energy efficient data aggregation. In: 29th Annual IEEE International Conference on Local Computer Networks, pp. 490–497 (2004)

    Google Scholar 

  30. Erramilli, V., Matta, I., Bestavros, A.: On the interaction between data aggregation and topology control in wireless sensor networks. In: IEEE SECON 2004, pp. 557–565 (2004)

    Google Scholar 

  31. Pham, T., Kim, E.J., Moh, M.: On Data Aggregation Quality and Energy Efficiency of Wireless Sensor Network Protocols-Extended Summary. In: First International Conference on Broadband Networks, pp. 730–732 (2004)

    Google Scholar 

  32. Min, R., Bhardwaj, M., Choi, S.H., Ickes, N., Shih, E., Sinha, A., Wang, A., Chandrakasan, A.: Energy-centric enabling technologies for wireless sensor networks. IEEE Wireless Communications, August 2002, pp. 28–39 (2002)

    Google Scholar 

  33. Akyildiz, I.F., Pompili, D., Melodia, T.: Challenges for Efficient Communication in Underwater Acoustic Sensor Networks. ACM Special Interest Group on Embedded Systems Review 1(2) (2004), http://www.cs.virginia.edu/sigbed/ , http://www.seaweb.org/

  34. Niu, R.X., Varshney, P.K., Moore, M., Kalmer, D.: Decision Fusion in a Wireless Sensor Network with a Large Number of Sensors. In: The 7th International Conference on Information Fusion, Stockholm, Sweden, June 28 -July 1, pp. 21–27 (2004)

    Google Scholar 

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Author information

Authors and Affiliations

  1. National Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, China

    Xiaohua Dai, Feng Xia, Zhi Wang & Youxian Sun

Authors
  1. Xiaohua Dai
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  2. Feng Xia
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  3. Zhi Wang
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  4. Youxian Sun
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Editor information

Editors and Affiliations

  1. Department of Computer Science, City University of Hong Kong,  

    Xiaohua Jia

  2. College of Optoelectric and Electric Information Engineering, University of Shanghai for Science and Technology, 200093, Shanghai, P.R. China

    Jie Wu

  3. School of Computer, Wuhan University, 430072, Wuhan, China

    Yanxiang He

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© 2005 Springer-Verlag Berlin Heidelberg

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Dai, X., Xia, F., Wang, Z., Sun, Y. (2005). A Survey of Intelligent Information Processing in Wireless Sensor Network. In: Jia, X., Wu, J., He, Y. (eds) Mobile Ad-hoc and Sensor Networks. MSN 2005. Lecture Notes in Computer Science, vol 3794. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11599463_13

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  • DOI: https://doi.org/10.1007/11599463_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30856-0

  • Online ISBN: 978-3-540-32276-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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