Advertisement

A Novel Mobility Management Scheme for Target Tracking in Cluster-Based Sensor Networks

  • Zhibo Wang
  • Wei Lou
  • Zhi Wang
  • Junchao Ma
  • Honglong Chen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6131)

Abstract

Target tracking is a typical and important application of wireless sensor networks (WSNs). In the consideration of scalability and energy efficiency for target tracking in large scale WSNs, it has been employed as an effective solution by organizing the WSNs into clusters. However, tracking a moving target in cluster-based WSNs suffers the boundary problem when the target moves across or along the boundary among clusters. In this paper, we propose a novel scheme, called hybrid cluster-based target tracking (HCTT), which integrates on-demand dynamic clustering into a cluster-based WSN for target tracking. To overcome the boundary problem, when the target moves close to the boundary among clusters, a dynamic cluster will be constructed for the management of target tracking. As the target moves, static clusters and on-demand dynamic clusters alternately manage the tracking task. Simulation results show that the proposed scheme performs better in tracking the moving target when compared with other typical target tracking protocols.

Keywords

Wireless sensor networks target tracking mobility management boundary problem 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Akyildiz, I.F., Weilian, S., Sankarasubramaniam, Y., Cayirci, E.: A survey on sensor networks. IEEE Communications Magazine, 102–114 (2002)Google Scholar
  2. 2.
    Lin, C.R., Gerla, M.: Adaptive clustering for mobile wireless sensor networks. IEEE Journal on Selected Areas in Communications, 1265–1275 (1997)Google Scholar
  3. 3.
    Pearlman, M.R., Haas, Z.J.: Determining the optimal configuration for the zone routing protocol. IEEE Journal on Selected Areas in Communications, 1395–1414 (1999)Google Scholar
  4. 4.
    Kozat, U.C., Kondylis, G., Ryu, B., Marina, M.K.: Virtual dynamic backbone for mobile ad hoc networks. In: Proc. of IEEE ICC, pp. 250–255 (2001)Google Scholar
  5. 5.
    Chen, W.P., Hou, J.C., Sha, L.: Dynamic clustering for acoustic target tracking in wireless sensor networks. IEEE Transactions on Mobile Computing, 258–271 (2004)Google Scholar
  6. 6.
    Yang, W.C., Fu, Z., Kim, J.H., Park, M.S.: An adaptive dynamic cluster-based protocol for target tracking in wireless sensor networks. LNCS, pp. 156–167. Springer, Heidelberg (2007)Google Scholar
  7. 7.
    Yang, H., Sikdar, B.: A protocol for tracking mobile targets using sensor networks. In: Proc. of IEEE IWSNPA, pp. 71–81 (2003)Google Scholar
  8. 8.
    Zhao, F., Shin, J., Reich, J.: Information-driven dynamic sensor collaboration for tracking applications. IEEE Signal Processing Magazine, 61–72 (2002)Google Scholar
  9. 9.
    Brooks, R.R., Griffin, C., Friedlander, D.: Self-organized distributed sensor network entity tracking. International Journal of High Performance Computer Application, 207–219 (2002)Google Scholar
  10. 10.
    He, T., Krishnamurthy, S., Luo, L., Yan, T., Gu, L., Stoleru, R., Zhou, G., Cao, Q., Vicaire, P., Stankovic, J.A., Abdelzaher, T.: Vigilnet: An integrated sensor network system for energy-efficient surveillance. ACM Transactions on Sensor Networks, 1–38 (2006)Google Scholar
  11. 11.
    He, T., Vicaire, P., Yan, T., Luo, L.Q., Gu, L., Zhou, G., Stoleru, R., Cao, Q., Stankovic, J.A., Abdelzaher, T.: Achieving real-time target tracking using wireless sensor networks. In: Proc. of IEEE RTAS, pp. 37–48 (2006)Google Scholar
  12. 12.
    Bhatti, S., Xu, J.: Survey of target tracking protocols using wireless sensor network. In: Proc. of ICWMC, pp. 110–115 (2009)Google Scholar
  13. 13.
    Wang, Z.B., Li, H.B., Shen, X.F., Sun, X.C., Wang, Z.: Tracking and predicting moving targets in hierarchical sensor networks. In: Proc. of IEEE ICNSC, pp. 1169–1174 (2008)Google Scholar
  14. 14.
    Zhang, W.S., Cao, G.H.: DCTC: Dynamic convoy tree-based collaboration for target tracking in sensor networks. IEEE Transactions on Wireless Communications, 1689–1701 (2004)Google Scholar
  15. 15.
    Kung, H.T., Vlah, D.: Efficient location tracking using sensor networks. In: Proc. of IEEE WCNC, pp. 1954–1961 (2003)Google Scholar
  16. 16.
    Lin, C.Y., Peng, W.C., Tseng, Y.C.: Efficient in-network moving object tracking in wireless sensor networks. IEEE Transactions on Mobile Computing, 1044–1056 (2006)Google Scholar
  17. 17.
    Xu, Y.Q., Winter, J.L., Lee, W.C.: Dual prediction-based reporting for object tracking sensor networks. In: Proc. of MobiQuitous, pp. 154–163 (2004)Google Scholar
  18. 18.
    Xu, Y.Q., Winter, J.L., Lee, W.C.: Prediction-based strategies for energy saving in object tracking sensor networks. In: Proc. of IEEE MDM, pp. 346–357 (2004)Google Scholar
  19. 19.
    Yang, L.Z., Feng, C., Rozenblit, J.W., Qiao, H.Y.: Adaptive tracking in distributed wireless sensor networks. In: Proc. of IEEE ECBS, pp. 103–111 (2006)Google Scholar
  20. 20.
    Wang, X., Ma, J.J., Wang, S., Bi, D.W.: Cluster-based dynamic energy management for collaborative target tracking in wireless sensor netowrks. Sensors, 1193–1215 (2007)Google Scholar
  21. 21.
    Zhong, Z.G., Zhu, T., Wang, D., He, T.: Tracking with unreliable node sequences. In: Proc. of IEEE INFOCOM, pp. 1215–1223 (2009)Google Scholar
  22. 22.
    Yu, J.Y., Chong, P.H.J.: A survey of clustering schemes for mobile ad hoc networks. IEEE Communications Surveys & Tutorials, 32–48 (2005)Google Scholar
  23. 23.
    Heinzelman, W.B., Chandrakasan, A.P., Balakrishnan, H.: An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 660–670 (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Zhibo Wang
    • 1
  • Wei Lou
    • 2
  • Zhi Wang
    • 1
  • Junchao Ma
    • 2
  • Honglong Chen
    • 2
  1. 1.State Key Laboratory of Industrial Control TechnologyZhejiang UniversityHangzhouP.R. China
  2. 2.Department of ComputingThe Hong Kong Polytechnic UniversityHong Kong

Personalised recommendations