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EWSN
2007
Springer
16 years 3 months ago
Removing Systematic Error in Node Localisation Using Scalable Data Fusion
Methods for node localisation in sensor networks usually rely upon the measurement of received strength, time-of-arrival, and/or angle-of-arrival of an incoming signal. In this pap...
Albert Krohn, Mike Hazas, Michael Beigl
168
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ICC
2008
IEEE
137views Communications» more  ICC 2008»
15 years 10 months ago
On the Effect of Localization Errors on Geographic Routing in Sensor Networks
—Recently, network localization systems that are based on inter-node ranges have received significant attention. Geographic routing has been considered an application which can u...
Bo Peng, Rainer Mautz, Andrew H. Kemp, Washington ...
119
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CEC
2007
IEEE
15 years 10 months ago
Improving generalization capability of neural networks based on simulated annealing
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...
Yeejin Lee, Jong-Seok Lee, Sun-Young Lee, Cheol Ho...
168
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TWC
2010
14 years 10 months ago
Distributed consensus-based demodulation: algorithms and error analysis
This paper deals with distributed demodulation of space-time transmissions of a common message from a multiantenna access point (AP) to a wireless sensor network. Based on local me...
Hao Zhu, Alfonso Cano, Georgios B. Giannakis
143
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NETWORK
2007
167views more  NETWORK 2007»
15 years 3 months ago
Sensor Localization under Limited Measurement Capabilities
If we abstract a sensor network as a network graph consisting of vertices and edges, where vertices represent sensor nodes and edges represent distance measurements between neighbo...
Chen Wang, Li Xiao