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Rate-distortion balanced data compression for wireless sensor networks
Mohammad Abu Alsheikh
, Shaowei Lin
, Dusit Niyato
, Hwee Pink Tan
Research output
:
Contribution to journal
›
Article
›
peer-review
69
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Citations (Scopus)
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Keyphrases
Wireless Sensor Networks
100%
Data Compression
100%
Rate-distortion
100%
Balanced Data
100%
Error Bound
66%
Wireless Sensor Data
66%
Experimental Validation
33%
Neural Network
33%
Energy Resources
33%
Energy Expenditure
33%
Spatio-temporal Correlation
33%
Energy Consumption Reduction
33%
Service Life
33%
Adaptive Rate
33%
Energy Analysis
33%
Data Congestion
33%
Tolerable Error
33%
Distortion Level
33%
Signal Reconstruction
33%
Compressed Data
33%
Margin of Error
33%
Feature Balance
33%
Compression Method
33%
Spatial Compression
33%
Temporal Data
33%
Bandwidth Resources
33%
Compression Efficiency
33%
Data Compression Algorithm
33%
Computer Science
Wireless Sensor Network
100%
Data Compression
100%
rate distortion
100%
Conventional Method
20%
Neural Network
20%
Temporal Correlation
20%
Energy Consumption
20%
Compression Algorithm
20%
Compressed Data
20%
Compression Efficiency
20%
Signal Reconstruction
20%
Engineering
Wireless Sensor Network
100%
Error Bound
40%
Conventional Method
20%
Spatial Data
20%
Data Sample
20%
Reduce Energy Consumption
20%
Data Rate
20%
Compression Algorithm
20%
Compressed Data
20%
Signal Reconstruction
20%
Compression Efficiency
20%
Compression Method
20%
Temporal Correlation
20%