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» Data Gathering with Tunable Compression in Sensor Networks
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SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
15 years 9 months ago
Compressing Historical Information in Sensor Networks
We are inevitably moving into a realm where small and inexpensive wireless devices would be seamlessly embedded in the physical world and form a wireless sensor network in order t...
Antonios Deligiannakis, Yannis Kotidis, Nick Rouss...
PERCOM
2007
ACM
15 years 9 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
IPSN
2004
Springer
15 years 2 months ago
The impact of spatial correlation on routing with compression in wireless sensor networks
The efficacy of data aggregation in sensor networks is a function of the degree of spatial correlation in the sensed phenomenon. While several data aggregation (i.e., routing with...
Sundeep Pattem, Bhaskar Krishnamachari, Ramesh Gov...
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PERCOM
2006
ACM
15 years 9 months ago
Efficient Data Harvesting in Mobile Sensor Platforms
In this paper we study the use of vehicles as sensors in a "vehicular sensor network," a new network paradigm that is critical for gathering valuable information in urba...
Uichin Lee, Eugenio Magistretti, Biao Zhou, Mario ...
DCOSS
2009
Springer
15 years 2 months ago
Compressed RF Tomography for Wireless Sensor Networks: Centralized and Decentralized Approaches
Radio Frequency (RF) tomography refers to the process of inferring information about an environment by capturing and analyzing RF signals transmitted between nodes in a wireless se...
Mohammad A. Kanso, Michael G. Rabbat