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SCCS: Spatiotemporal clustering and compressing schemes for efficient data collection applications in WSNs
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A distributed and adaptive signal processing approach to exploiting correlation in sensor networks
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Efficient clustering algorithms for self-organizing wireless sensor networks
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Spatio-temporal correlation: theory and applications for wireless sensor networks
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Scalable Routing Protocol for Ad Hoc Networks
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Continual queries for Internet scale event-driven information delivery
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Detection, classification, and tracking of targets
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Distributed compression in a dense microsensor network
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Energy Efficient Expanding Ring Search for Route Discovery in MANETs
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A distributed and adaptive signal processing approach to reducing energy consumption in sensor networks
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An energy efficient hierarchical clustering algorithm for wireless sensor networks
inferredcites →https://doi.org/10.1109/iwcmc.2008.92openalex-snapshot
Towards a Distributed Clustering Scheme Based on Spatial Correlation in WSNs
inferredcites →https://doi.org/10.1109/mcom.2002.1024422openalex-snapshot
A survey on sensor networks
inferredcites →https://doi.org/10.1109/mcsa.2002.1017485openalex-snapshot
Supporting aggregate queries over ad-hoc wireless sensor networks
inferredcites →https://doi.org/10.1109/rivf.2008.4586356openalex-snapshot
Enhance exploring temporal correlation for data collection in WSNs
inferredcites →https://doi.org/10.1109/ssdm.2000.869779openalex-snapshot
Supporting content-based searches on time series via approximation
inferredcites →https://doi.org/10.1109/tmc.2006.150openalex-snapshot
DOA: DSR over AODV Routing for Mobile Ad Hoc Networks
inferredcites →https://doi.org/10.1109/tpds.2007.1046openalex-snapshot
An Energy-Efficient Data Collection Framework for Wireless Sensor Networks by Exploiting Spatiotemporal Correlation
inferredcites →https://doi.org/10.1109/tpds.2007.1110openalex-snapshot
ASAP: An Adaptive Sampling Approach to Data Collection in Sensor Networks
inferredcites →https://doi.org/10.1145/1062689.1062739openalex-snapshot
Efficient gathering of correlated data in sensor networks
inferredcites →https://doi.org/10.1145/1210669.1210672openalex-snapshot
The Clustered AGgregation (CAG) technique leveraging spatial and temporal correlations in wireless sensor networks
inferredcites →https://doi.org/10.1587/transcom.e92.b.1199openalex-snapshot
Towards an Efficient Flooding Scheme Exploiting 2-Hop Backward Information in MANETs
inferredcites →https://doi.org/10.3138/fm57-6770-u75u-7727openalex-snapshot
ALGORITHMS FOR THE REDUCTION OF THE NUMBER OF POINTS REQUIRED TO REPRESENT A DIGITIZED LINE OR ITS CARICATURE
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Comprehensive study on Distinct Data Collection Techniques using Machine Learning Approaches for WSN
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Two Level Data Fusion Model for Data Minimization and Event Detection in Periodic Wireless Sensor Network
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Clustering Techniques in Data Mining: A Survey of Methods, Challenges, and Applications
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