Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple University, Philadelphia, PA INFOCOM 2010
Outline Introduction Method Simulation Conclusion
Introduction Locations of sensor nodes are important for operations in WSNs.
Introduction Performance heavily depends on the precision of distance estimation. Beacon node Sensor node
Introduction In an anisotropic WSN, huge errors may be introduced into distance estimation because of irregular deployment. Beacon node Sensor node
Objective Make the estimated distance ED(s,t) as close to its corresponding D(s,t) as possible. ED(s,t) D(s,t)D(s,t)
System model & Assumptions Large number of sensor nodes in a WSN so that any node is able to obtain enough neighboring nodes with a limited flooding operation.
Overview Constructing The Virtual Ruler Beacon node Sensor node Hole TN:Turning Node 10 12
Overview Constructing The Virtual Ruler Beacon node Sensor node Hole TN:Turning Node 10 12
Calculation of Dominating Degree Observation
Calculation of Dominating Degree Obtain a set of surrounding nodes by executing a limited flooding operation from m. m Hole DD(n)=8 Avg_ DD(m)=7 DD(m)=6 Avg_ DD(m,n)-DD(m) =7-6=1 Threshold=2>1
Calculation of Dominating Degree Obtain a set of surrounding nodes by executing a limited flooding operation from m. n1n1 n2n2 m n Hole
Calculation of Dominating Degree n1n1 n2n2 m DD(m)=6 Avg_ DD(m)=9 Avg_ DD(m,n)-DD(m)=3 Threshold=2<3
Distance Estimation s t n1n1 Predefined parameter indicating the increase in Scale after a turning node 3 5 (3+5)*factor =8*0.85= hole
Distance Estimation s t n1n1 n2n2 n3n3
Review The Virtual Ruler Beacon node Sensor node Hole TN:Turning Node
Simulation Implemented the above algorithms in C++ 5548 nodes are randomly deployed Average node degree 6.2
Simulation DV-Distance Our method
Simulation
Conclusion Design and evaluate a new distance estimation scheme for anisotropic WSNs.
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