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Worst & Best-Case Coverage in Sensors Networks DEC 2004 Presented by: Eugene Khokhlov Eugene@ApplicaSoft.com (847) 4591535 Seapahn Megerian Ph.D. UCLA Miodrag Potkonjak Ph.D. Berkley Mani B. Srivastava Ph.D. Berkley Farinaz Koushanfar Grad @ Berkley
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Eugene, Worst & Best-Case Coverage in S.N. 2 Quick Overview Coverage in Sensor Networks Voronoi diagrams & Maximal Breach Path Delaunay triangulation & Maximal Support Path Coverage Improvement
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Eugene, Worst & Best-Case Coverage in S.N. 3 Definitions Coverage – an area in which seismic or acoustic sensors can detect an activity Worst-case (Breach)– The closest distance to sensors on a path. Best-Case – The maximum distance between the sensors on the path of closest sensors
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Eugene, Worst & Best-Case Coverage in S.N. 4 Voronoi Diagram Set of polygons such that all points inside a polygon are closest to only one site Edges that are equidistant from neighboring sites
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Eugene, Worst & Best-Case Coverage in S.N. 5 Delaunay triangulation Connecting the sites in the Voronoi diagram whose polygons share a common edge.
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Eugene, Worst & Best-Case Coverage in S.N. 6 Worst Case (Breach)
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Eugene, Worst & Best-Case Coverage in S.N. 7 Best Case, Path Choosing the CLOSEST
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Eugene, Worst & Best-Case Coverage in S.N. 8 Worst Case => Breach Weight The closest distance to sensors on the path of travel. Best Case => Support Weight The maximum distance from the closest sensors on the Path of travel Comparison
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Eugene, Worst & Best-Case Coverage in S.N. 9 Add 1 sensor to 100 and get 10% improvement in coverage Coverage Improvement
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Eugene, Worst & Best-Case Coverage in S.N. 10 Conclusion Voronoy diagram & breach path (Worst-Case) Delaunay triangulation & Support Path (Best-Case) Coverage improvement Questions? Email to: Eugene@ApplicaSoft.com
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