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Rendered Path: Range-Free Localization in Anisotropic Sensor Networks with Holes

Rendered Path: Range-Free Localization in Anisotropic Sensor Networks with Holes. Mo Li, Yunhao Liu Hong Kong University of Science and Technology Mobicom 2007. Outline. Introduction REP protocol Performance evaluation Conclusions. Introduction.

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Rendered Path: Range-Free Localization in Anisotropic Sensor Networks with Holes

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  1. Rendered Path: Range-Free Localization in Anisotropic Sensor Networks with Holes Mo Li, Yunhao Liu Hong Kong University of Science and Technology Mobicom 2007

  2. Outline • Introduction • REP protocol • Performance evaluation • Conclusions

  3. Introduction • Sensor positioning is a crucial part of many location-dependent applications that utilize WSNs. • Ex coverage, routing and target tracking • Localization can be divided into • Range-based • Add additional hardware (e.g: GPS) • Range-free • Location information can be obtained • RSSI • Time of arrival or time difference of arrival • Angle of arrival measurements

  4. Introduction- range free • Since there is no way to measure physical distances between nodes. • Existing approaches depend on connectivity based algorithms. • Because the path between a pair of nodes may have to curve around intermediate holes. • Most previous approaches would fail inanisotropic networks. • Ex. DV-Hop

  5. Introduction- DV-Hop • Sensors compute its location by the distance of average hop and triangulation. B X A C

  6. Introduction- DV-Hop • DV-Hop fail in anisotropic networks B B X X A A C C

  7. Introduction • In a isotropic WSNs, • there should have obstacle. • the unbalanced power consumption of sensor would create holes. • there should many external interference cause communication failure. • Authors consider anisotropic network are most likely to exist in practice.

  8. Introduction • In this work, authors propose a distributed range-free scheme for locating sensors in anisotropic WSNs.

  9. REP protocol • Assumption in this paper • The network is anisotropic. • Sensor are deployment with high density. • There are three seed nodes equipped with GPS • Each time sensor estimates one distance to a seed and sensor need to compute three times for triangulation.

  10. REP protocol • REP detects holes and attaches it with an ID All boundary nodes tagged with hole ID and Color Hi Hole 3 t

  11. REP protocol • s broadcasts QUERY message to explore shortest path. s Hole 3 t

  12. REP protocol • All boundary node broadcast V_Hole messages with TTL= k s Hole 3 t

  13. REP protocol • s broadcast QUERY message to explore virtual shortest path. s Hole 3 t

  14. REP protocol • If radii k is too large the virtual shortest path would change to another direction. s s Hole 3 t

  15. REP protocol • Convex Hole • Convex Holes and Concave Holes

  16. REP protocol- single focal point According to the law of cosines O It is short of pointo and an angle sot to adopt the law of cosines.

  17. REP protocol- single focal point • How to find point o? • Author called o as “focal point”. Y. Wang, J. Gao and J. S. B. Mitchell, “Boundary Recognition in Sensor Networks by Topological Methods,” in Proceedings of ACM MobiCom, 2006.

  18. REP protocol- single focal point • Compute angle sot • Firstly, o broadcasts V_Hole message with TTL=k value. O

  19. REP protocol- single focal point • Compute angle sot • Secondly, s broadcastsQUERY message to find a virtual shortest path. O

  20. REP protocol- single focal point • Compute angle sot • Last, we compute angle sot. O

  21. REP protocol- single focal point • Compute angle sot

  22. REP protocol-two focal points

  23. REP protocol-two focal points

  24. REP protocol-two focal points We can compute αand β by the previous way.

  25. REP protocol-n focal points

  26. REP protocol-n focal points

  27. REP protocol-Convex holes

  28. REP protocol-Concave holes

  29. Performance evaluation Basic setting 5376 nodes (average degree = 12.9) Two holes 4697 nodes (average degree = 12.9) Two holes (one concave) 5142 nodes (average degree = 12.8).

  30. Performance evaluation

  31. Performance evaluation • A large radius provides a better estimation.

  32. Performance evaluation • Localization performance under REP distance measurement.

  33. Performance evaluation

  34. Performance evaluation • Related Work DV-Hop • D. Niculescu and B. Nath, “DV Based Positioning in Ad Hoc Networks,” Journal of Telecommunication Systems, 2003. B X A C

  35. Performance evaluation

  36. Conclusions • In this paper author • propose a range-free localization scheme in anisotropic sensor networks. • The most important contributions • necessity of ranging devices • dependence on large numbers of uniformly deployed seed nodes • assumption of isotropic networks.

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