Al Fallah et al., 2025 - Google Patents
Data compression approaches in WSN and IoT applications: a comprehensive surveyAl Fallah et al., 2025
- Document ID
- 145632817743176863
- Author
- Al Fallah S
- El Makhtoum H
- Arioua M
- El Oualkadi A
- Publication year
- Publication venue
- Artificial Intelligence of Things (AIoT)
External Links
Snippet
Data Compression is a promising key to overcome the challenging energy expenditure in wireless sensor networks (WSNs) and IoT applications. It is an enticing solution to improve the network lifespan, by significantly reducing the circulated volume of data over the network …
- 238000013459 approach 0 title abstract description 59
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- H—ELECTRICITY
- H03—BASIC ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same information or similar information or a subset of information is represented by a different sequence or number of digits
- H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
- H03M7/40—Conversion to or from variable length codes, e.g. Shannon-Fano code, Huffman code, Morse code
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Al-Qurabat et al. | Data traffic management based on compression and MDL techniques for smart agriculture in IoT | |
| Al-Qurabat | A lightweight Huffman-based differential encoding lossless compression technique in IoT for smart agriculture | |
| Alsheikh et al. | Rate-distortion balanced data compression for wireless sensor networks | |
| Abdulzahra et al. | Compression-based data reduction technique for IoT sensor networks | |
| US8280671B2 (en) | Compressive data gathering for large-scale wireless sensor networks | |
| Al-Qurabat et al. | Important extrema points extraction-based data aggregation approach for elongating the WSN lifetime | |
| Kimura et al. | A survey on data compression in wireless sensor networks | |
| Saeedi et al. | Perceptually important points-based data aggregation method for wireless sensor networks | |
| Chen et al. | Layered adaptive compression design for efficient data collection in industrial wireless sensor networks | |
| Kolo et al. | Fast and efficient lossless adaptive compression scheme for wireless sensor networks | |
| Al-Qurabat et al. | Two-level energy-efficient data reduction strategies based on SAX-LZW and hierarchical clustering for minimizing the huge data conveyed on the internet of things networks | |
| Lungisani et al. | Image compression techniques in wireless sensor networks: A survey and comparison | |
| Abdulzahra et al. | Data reduction based on compression technique for big data in IoT | |
| Singh et al. | In-network data processing based on compressed sensing in WSN: A survey | |
| Abdulzahra MSc et al. | Energy conservation approach of wireless sensor networks for IoT applications | |
| Kalaivani et al. | Analysis and implementation of novel Rice Golomb coding algorithm for wireless sensor networks | |
| Al Fallah et al. | Data compression approaches in WSN and IoT applications: a comprehensive survey | |
| Hussein et al. | A distributed prediction–compression-based mechanism for energy saving in IoT networks | |
| Tagne Fute et al. | DDCA-WSN: A distributed data compression and aggregation approach for low resources wireless sensors networks | |
| Al-Qurabat et al. | A Bi-level data lowering method to minimize transferring big data in the sensors of IoT applications | |
| Kagita et al. | A lossless compression technique for Huffman-based differential encoding in IoT for smart agriculture | |
| Dang et al. | Robust data compression for irregular wireless sensor networks using logical mapping | |
| Mudgule et al. | Data compression in wireless sensor network: a survey | |
| Han et al. | A data gathering algorithm based on compressive sensing in lossy wireless sensor networks | |
| Padalkar et al. | Energy efficient data gathering in wireless sensor networks and internet of things with compressive sensing at sensor node |