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Landmark-Based Information Storage and Retrieval in Sensor Networks Qing Fang Department of Electrical Engineering, Stanford University Jie Gao Department of Computer Science, Stony Brook University Leonidas J. Guibas Department of Computer Science, Stanford University INFOCOM 2006
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Outline Introduction Related Work Landmark-Based Data Centric Simulation Conclusion
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Background sink
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Background sink
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Background sink
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Geographical Hash Table (GHT) lion
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Disadvantage of GHT No distance-sensitive producer lion consumer
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Disadvantage of GHT No distance-sensitive Communication bottleneck
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Disadvantage of GHT No distance-sensitive Communication bottleneck Bad for queries the cross-type data
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GHT with Structured Replication quad-tree d = 1 4 1 = 4 d = 2 4 2 = 16
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GHT with Structured Replication d = 1
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Related Work Title – GLIDER: Gradient Landmark-Based Distributed Routing for Sensor Networks Author – Qing Fang, Jie Gao, Leonidas J. Guibas, Vin de Silva From – INFOCOM 2005
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GLIDER a b c t s d
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Overview producer h consumer T1T1 T2T2 T3T3 T4T4 replication path retrieval path
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Replication Path producer h LaLa LcLc LdLd a LeLe LfLf b LgLg c consumer No distance-sensitive LbLb
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Distance-sensitive
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Optimal Principle a → b → c → d → e → f → g c → d → e → f → g
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Optimal Principle producer h LaLa LcLc LeLe LfLf LgLg consumer LbLb LdLd
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Finger Tree producer h LaLa LcLc LeLe LfLf LgLg consumer LbLb LdLd
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Finger Tree LaLa LcLc LeLe LfLf LgLg LbLb LdLd s
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Replication Path producer h LaLa LbLb LcLc LeLe LfLf LgLg a consumer LdLd
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Replication Path producer 1 h LaLa LbLb LcLc LeLe LfLf LgLg a producer 2 LdLd
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Simulation Network Enviroments – 316m × 316m sensing field – 2000 nodes – 11m communication range – 6.2 degrees – 23 landmarks – Simulated with C++
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Simulation Data structure and storage requirement – The landmarks – Neighborhood distances to its reference landmarks – The hash function – A bit to record it’s on boundary or not – The IDs of its neighboring sensors
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Simulation Compare producer cost with GHT
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Simulation Compare consumer cost with GHT
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Simulation Retrieval Path Length GHT100% Landmark-based70.2%
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Simulation Load distribution of landmark-based Load distribution of GHT
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Conclusion A location-free, landmark-based information brokerage scheme for sensor networks – Distance-sensitive – Load-balanced
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Thank You !
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