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A Lightweight Filter-Based Target Tracking Model in Wireless Sensor Network

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Ad Hoc Networks (ADHOCNETS 2018)

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Abstract

Target tracking is an important research in Wireless Sensor Network (WSN), which detects and estimates the event source based on the data of multiple sensors. In this domain, the accuracy of tracking, the choosing of communication nodes and the real-time performance are the main direction of research. In this paper, the local density and distributed filter are investigated. Based on those above, a lightweight filter-based target tracking model is proposed, which use the local density to determine the communication nodes, and use the distributed filter to reduce the interval of sampling. The simulation shows the local density-based communication algorithm is stable and flexible.

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References

  1. Fantacci, R., et al.: A network architecture solution for efficient IOT WSN backhauling: challenges and opportunities. IEEE Wirel. Commun. 21(4), 113–119 (2014)

    Article  Google Scholar 

  2. Xiang, W., Zhou, Y., Wang, N.: An energy-efficient routing algorithm for software-defined wireless sensor network. IEEE Sens. J. 16(20), 7393–7400 (2016)

    Article  Google Scholar 

  3. Mahboubi, H., et al.: An energy-efficient target-tracking strategy for mobile sensor networks. IEEE Trans. Cybern. 47(2), 511 (2016)

    Article  Google Scholar 

  4. Zhou, Y., Wang, N., Xiang, W.: Clustering hierarchy protocol in wireless sensor networks using an improved PSO algorithm. IEEE Access 5, 2241–2253 (2017)

    Article  Google Scholar 

  5. Evensen, G.: The ensemble kalman filter: theoretical formulation and practical implementation. Ocean Dyn. 53(4), 343–367 (2003)

    Article  Google Scholar 

  6. Marques, B., et al.: Energy-efficient node selection in application-driven WSN. Wirel. Netw. 23(3), 889–918 (2017)

    Article  Google Scholar 

  7. Babu, S.S., et al.: Trust evaluation based on node’s characteristics and neighbouring nodes’ recommendations for WSN. Wirel. Sens. Netw. 06(8), 157–172 (2014)

    Article  Google Scholar 

  8. Bhuiyan, M.Z.A., et al.: Target tracking with monitor and backup sensors in wireless sensor networks, pp. 1–6 (2009)

    Google Scholar 

  9. Bhuiyan, M.Z.A., et al.: Local area prediction-based mobile target tracking in wireless sensor networks. IEEE Trans. Comput. 64(7), 1968–1982 (2015)

    Article  MathSciNet  Google Scholar 

  10. Beard, M., et al.: Bayesian multi-target tracking with merged measurements using labelled random finite sets. IEEE Trans. Signal Process. 63(6), 1433–1447 (2015)

    Article  MathSciNet  Google Scholar 

  11. Yang, X., et al.: Hybrid sequential fusion estimation for asynchronous sensor network-based target tracking. IEEE Trans. Control Syst. Technol. 25(2), 669–676 (2017)

    Article  Google Scholar 

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Correspondence to Zhenjiang Zhang .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Li, C., Zhang, Z., Liu, Y., Xiong, F., Li, J., Shen, B. (2019). A Lightweight Filter-Based Target Tracking Model in Wireless Sensor Network. In: Zheng, J., Xiang, W., Lorenz, P., Mao, S., Yan, F. (eds) Ad Hoc Networks. ADHOCNETS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 258. Springer, Cham. https://doi.org/10.1007/978-3-030-05888-3_13

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  • DOI: https://doi.org/10.1007/978-3-030-05888-3_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05887-6

  • Online ISBN: 978-3-030-05888-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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