Achieving Energy Efficiency in Life-Logging Applications of Internet of Things Using Data Compression Through Incorporation of Machine Learning and Edge-Cloud Architecture.
Vishal BarotRitesh PatelPublished in: COMS2 (2022)
Keyphrases
- data compression
- energy efficiency
- data center
- machine learning
- power consumption
- energy consumption
- wireless sensor networks
- power management
- cloud computing
- energy efficient
- compression algorithm
- sensor networks
- compression ratio
- high performance computing
- energy saving
- routing protocol
- data reduction
- management system
- smart home
- response time
- wavelet compression
- low cost
- energy conservation
- data analysis
- artificial intelligence
- huffman coding
- databases
- cost effective
- active learning
- data mining
- compressed data
- multiresolution
- residual energy
- data sets
- lossless data compression