An adaptive and composite spatio-temporal data compression approach for wireless sensor networks

MSWiM'11 - Proceedings of the 14th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems

Volumn , Issue , 2011, Pages 67-76

  Ali, Azad ^a   Khelil, Abdelmajid ^a   Szczytowski, Piotr ^a   Suri, Neeraj ^a  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Accuracy; Approximation; Energy efficiency; Hierarchical clustering; Modeling; Spatial and temporal correlations

Indexed keywords

ACCURACY; ADAPTIVE TECHNIQUE; APPROXIMATION; BATTERY POWERED; COMPRESSION APPROACH; DATA ACCURACY; DATA DELIVERY; DATA VOLUME; ENVIRONMENTAL ATTRIBUTES; HIER-ARCHICAL CLUSTERING; HIGH GRANULARITY; LARGE CLASS; LATENCY TOLERANCE; SENSOR DATA COLLECTIONS; SENSOR READINGS; SPATIAL AND TEMPORAL CORRELATION; SPATIO-TEMPORAL DATA; SPATIOTEMPORAL CORRELATION;

COMPUTER SIMULATION; ENERGY EFFICIENCY; MODELS; SENSOR NODES; SENSORS;

DATA COMPRESSION;

EID: 83055169664     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2068897.2068912     Document Type: Conference Paper

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