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INFOCOM
2010
IEEE
13 years 6 months ago
Compressive Oversampling for Robust Data Transmission in Sensor Networks
—Data loss in wireless sensing applications is inevitable and while there have been many attempts at coping with this issue, recent developments in the area of Compressive Sensin...
Zainul Charbiwala, Supriyo Chakraborty, Sadaf Zahe...
TMC
2010
138views more  TMC 2010»
13 years 6 months ago
Reliable Anchor-Based Sensor Localization in Irregular Areas
—Localization is a fundamental problem in wireless sensor networks and its accuracy impacts the efficiency of location-aware protocols and applications, such as routing and stora...
Bin Xiao, Lin Chen, Qingjun Xiao, Minglu Li
PERVASIVE
2006
Springer
13 years 7 months ago
Collaborative Localization: Enhancing WiFi-Based Position Estimation with Neighborhood Links in Clusters
Abstract. Location-aware services can benefit from accurate and reliable indoor location tracking. The widespread adoption of 802.11x wireless LAN as the network infrastructure cre...
Li-Wei Chan, Ji-Rung Chiang, Yi-Chao Chen, Chia-na...
PR
2006
78views more  PR 2006»
13 years 7 months ago
Similarity-based analysis for large networks of ultra-low resolution sensors
By analyzing the similarities between bit streams coming from a network of motion detectors, we can recover the network geometry and discover structure in the human behavior being...
Christopher Richard Wren, David C. Minnen, Sriniva...
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 8 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson