TY - GEN
T1 - MSDR-D network localization algorithm
AU - Coogan, Kevin
AU - Khare, Varun
AU - Kobourov, Stephen G.
AU - Katz, Bastian
PY - 2010
Y1 - 2010
N2 - We present a distributed multi-scale dead-reckoning (MSDR-D) algorithm for network localization that utilizes local distance and angular information for nearby sensors. The algorithm is anchor-free and does not require particular network topology, rigidity of the underlying communication graph, or high average connectivity. The algorithm scales well to large and sparse networks with complex topologies and outperforms previous algorithms when the noise levels are high. The algorithm is simple to implement and is available, along with source code, executables, and experimental results, at http://msdr-d.cs. arizona.edu/.
AB - We present a distributed multi-scale dead-reckoning (MSDR-D) algorithm for network localization that utilizes local distance and angular information for nearby sensors. The algorithm is anchor-free and does not require particular network topology, rigidity of the underlying communication graph, or high average connectivity. The algorithm scales well to large and sparse networks with complex topologies and outperforms previous algorithms when the noise levels are high. The algorithm is simple to implement and is available, along with source code, executables, and experimental results, at http://msdr-d.cs. arizona.edu/.
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U2 - 10.1007/978-3-642-16988-5_13
DO - 10.1007/978-3-642-16988-5_13
M3 - Conference contribution
AN - SCOPUS:85037539645
SN - 3642169872
SN - 9783642169878
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 148
EP - 160
BT - Algorithms for Sensor Systems - 6th International Workshop on Algorithms for Sensor Systems, Wireless Ad Hoc Networks, and Autonomous Mobile Entities, ALGOSENSORS 2010, Revised Selected Papers
PB - Springer-Verlag
ER -