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Connectivity-based and anchor-free localization in large-scale 2D/3D sensor networks

Published:06 December 2013Publication History
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Abstract

A connectivity-based and anchor-free three-dimensional localization (CATL) scheme is presented for large-scale sensor networks with concave regions. It distinguishes itself from previous work with a combination of three features: (1) it works for networks in both 2D and 3D spaces, possibly containing holes or concave regions; (2) it is anchor-free and uses only connectivity information to faithfully recover the original network topology, up to scaling and rotation; (3) it does not depend on the knowledge of network boundaries, which suits it well to situations where boundaries are difficult to identify. The key idea of CATL is to discover the notch nodes, where shortest paths bend and hop-count-based distance starts to significantly deviate from the true Euclidean distance. An iterative protocol is developed that uses a notch-avoiding multilateration mechanism to localize the network. Simulations show that CATL achieves accurate localization results with a moderate per-node message cost.

References

  1. Bruck, J., Gao, J., and Jiang, A. 2005. Map: Medial axis based geometric routing in sensor networks. In Proceedings of the MobiCom. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Bulusu, N., Heidemann, J., and Estrin, D. 2000. GPS-less low cost outdoor localization for very small devices. IEEE Personal Commun. Mag.Google ScholarGoogle Scholar
  3. Cheng, W., Teymorian, A., Ma, L., Cheng, X., Lu, X., and Lu, Z. 2008. Underwater localization in sparse 3D acoustic sensor networks. In Proceedings of INFOCOM.Google ScholarGoogle Scholar
  4. Flury, R. and Wattenhofer, R. 2008. Randomized 3D geographic routing. In Proceedings of INFOCOM.Google ScholarGoogle Scholar
  5. Fonseca, R., Ratnasamy, S., Zhao, J., Ee, C. T., Culler, D., Shenker, S., and Stoica, I. 2005. Beacon vector routing: Scalable point-to-point routing in wireless sensornets. In Proceedings of NSDI. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Jin, M., Xia, S., Wu, H., and Gu, D. 2011. Scalable and fully distributed localization with mere connectivity. In Proceedings of INFOCOM.Google ScholarGoogle Scholar
  7. Lederer, S., Wang, Y., and Gao, J. 2008. Connectivity-based localization of large scale sensor networks with complex shape. In Proceedings of INFOCOM.Google ScholarGoogle Scholar
  8. Leong, B., Liskov, B., and Morris, R. 2007. Greedy virtual coordinates for geographic routing. In Proceedings of ICNP.Google ScholarGoogle Scholar
  9. Li, F., Luo, J., Zhang, C., Xin, S., and He, Y. 2011. Unfold: Uniform fast on-line boundary detection for dynamic 3D wireless sensor networks. In Proceedings of Mobihoc. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Li, M. and Liu, Y. 2010. Rendered path: Range-free localization in anisotropic sensor networks with holes. IEEE/ACM Trans. Netw. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Lim, H. and Hou, J. C. 2005. Localization for anisotropic sensor networks. In Proceedings of INFOCOM.Google ScholarGoogle Scholar
  12. Niculescu, D. and Nath, B. 2003. DV based positioning in ad hoc networks. J. Telecom. Sys.Google ScholarGoogle Scholar
  13. Rao, A., Ratnasamy, S., Papadimitriou, C., Shenker, S., and Stoica, I. 2003. Geographic routing without location information. In Proceedings of MobiCom. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Shang, Y. and Ruml, W. 2004. Improved MDS-based localization. In Proceedings of INFOCOM.Google ScholarGoogle Scholar
  15. Shang, Y., Ruml, W., Zhang, Y., and Fromherz, M. P. J. 2003. Localization from mere connectivity. In Proceedings of MobiHoc. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Tan, G., Bertier, M., and Kermarrec, A.-M. 2009. Convex partition of sensor networks and its use in virtual coordinate geographic routing. In Proceedings of INFOCOM.Google ScholarGoogle Scholar
  17. Wang, Y., Gao, J., and Mitchell, J. S. B. 2006. Boundary recognition in sensor networks by topological methods. In Proceedings of MobiCom. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Wang, Y., Lederer, S., and Gao, J. 2009. Connectivity-based sensor network localization with incremental delaunay refinement method. In Proceedings of INFOCOM.Google ScholarGoogle Scholar
  19. Zhou, H., Wu, H., and Jin, M. 2012. A robust boundary detection algorithm based on connectivity only for 3D wireless sensor networks. In Proceedings of INFOCOM.Google ScholarGoogle Scholar
  20. Zhou, H., Xia, S., Jin, M., and Wu, H. 2010. Localized algorithm for precise boundary detection in 3D wireless networks. In Proceedings of ICDCS. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Zhou, Z., Cui, J.-H., and Zhou, S. 2007. Localization for large-scale underwater sensor networks. UCONN CSE Tech. rep. UbiNet-TR07-01, University of Connecticut.Google ScholarGoogle Scholar
  22. Zhu, X., Sarkar, R., and Gao, J. 2008. Shape segmentation and applications in sensor networks. In Proceedings of INFOCOM.Google ScholarGoogle Scholar

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  1. Connectivity-based and anchor-free localization in large-scale 2D/3D sensor networks

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    • Published in

      cover image ACM Transactions on Sensor Networks
      ACM Transactions on Sensor Networks  Volume 10, Issue 1
      November 2013
      559 pages
      ISSN:1550-4859
      EISSN:1550-4867
      DOI:10.1145/2555947
      Issue’s Table of Contents

      Copyright © 2013 ACM

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      New York, NY, United States

      Publication History

      • Published: 6 December 2013
      • Revised: 1 February 2013
      • Accepted: 1 February 2013
      • Received: 1 October 2012
      Published in tosn Volume 10, Issue 1

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