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Minimum Path Exposure and Detection Interval Setting for Target Detection Using Wireless Sensor Network

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Abstract

Sensor network generally detects target at a fixed frequency. Detection interval means time spacing between two adjacent detection attempts. While designing a sensor network for detection of target intrusion in a specific region, the interval should be carefully set with trade-off between power consumption and detection performance. This is because redundant power may be consumed if it is too short and the target may be missed if too long. In this paper, we study the determination of the maximum detection interval (MDI) with specified detection performance. Path exposure is adopted as a performance metric. For detection-oriented application, a novel method to evaluate the minimum path exposure (MPE) is developed. Then the MDI problem is formulated and its solution is presented. The factors influencing the MDI are extensively simulated.

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References

  1. D. Estrin, D. Culler, K. Pister, and G. Sukhatme, Connecting the physical world with pervasive network, IEEE Pervasive Computing, Vol. 1, No. 1, pp. 59–69, 2002.

  2. D. Li, K. D. Wong, Y. H. Hu, and A. M. Sayeed, Detection, classification, and tracking of targets, IEEE Signal Processing Magazine, Vol. 19, No. 2, pp. 17–29, 2002.

  3. J. Hill, R. Szewczyk, A. Woo, S. Hollar, D. Culler, and K. Pister, System architecture directions for networked sensors. In 9th International Conference on Architectural Support for Programming Languages and Operating System, pp. 93–104, 2000.

  4. W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, An application specific protocol architecture for wireless microsensor networks, IEEE Transaction on Wireless Networking, Vol. 1, No. 4, pp. 660–670, 2002.

  5. C. Intanagonwiwat, R. Govindan, and D. Estrin, A scalable and robust communication paradigm for sensor networks, In ACM MobiCom, pp. 56–67, 2000.

  6. S. Meguerdichian, F. Koushanfar, M. Potkonjak, and M. Srivastava, Coverage problems in wireless ad-hoc sensor networks. In Proceedings of INFOCOM, pp. 1380–1387, 2001.

  7. S. Meguerdichian, F. Koushanfar, G. Qu, and M. Potkonjak, Exposure in wireless ad-hoc sensor networks. In Proceedings of MOBICOM, pp. 139–150, 2001.

  8. S. Meguerdichian, S. Slijepcevic, V. Karayan, and M. Potkonjak, Localized algorithms in wireless ad-hoc networks: Location discovery and Sensor exposure. In: Proceedings of MOBIHOC, pp. 106–116, 2001.

  9. T. Clouqueur, V. Phipatanasuphorn, P. Ramanathan, and K. K. Saluja, Sensor deployment strategy for target detection. In Proceeding of the 1st ACM International Workshop on Wireless Sensor Networks and Applications, pp. 42–48, 2002.

  10. T. Clouqueur, P. Ramanathan P, and K. K. Saluja, Exposure of variable speed targets through a sensor field. In Proceedings of the 6th Annual Conference on Information Fusion, pp. 599–605, 2002.

  11. S. Baase, and A. V. Gelder, Computer Algorithms: Introduction to Design and Analysis, Addison-Wesley, Reading, MA, 2000.

  12. M. Hata, Empirical formula for propagation loss in land mobile radio services, IEEE Transactions on Vehicular Technology, Vol. 29, No. 3, pp. 317–325, 1980.

  13. T. Cloupueur, P. Ramanathan, K. K. Saluja, and K. -C. Wang, Value-fusion versus decision-fusion for fault-tolerance in collaborative target detection in sensor networks. In Proceeding of the 4th Ann. Conf. on Information Fusion, pp. TuC2/25–TuC2/30.

  14. Arfken, G. Mathematical Methods for Physicists, 3rd ed, Academic Press, Orlando, FL, 1985

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Acknowledgement

The work was partially supported by the National Natural Science Foundation of China through the grant number 60472059.

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Authors and Affiliations

  1. Department of Electronic Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094, P.R. China

    KeBo Deng & Zhong Liu

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  1. KeBo Deng
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  2. Zhong Liu
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Correspondence to Zhong Liu.

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Deng, K., Liu, Z. Minimum Path Exposure and Detection Interval Setting for Target Detection Using Wireless Sensor Network. Int J Wireless Inf Networks 14, 289–294 (2007). https://doi.org/10.1007/s10776-007-0064-3

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  • DOI: https://doi.org/10.1007/s10776-007-0064-3

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