Compressive Sensing Algorithm for Wireless Sensor Network Power Management
| Autor: | Wen-Yaw Chung, Shih-Lun Chen, Jocelyn Flores Villaverde |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Lossless compression
Power management Computer science business.industry Node (networking) Data_CODINGANDINFORMATIONTHEORY Discrete Fourier transform Compressed sensing Transmission (telecommunications) Embedded system Computer Science::Networking and Internet Architecture Electronic engineering business Wireless sensor network Energy (signal processing) |
| Zdroj: | International Journal of Computer and Electrical Engineering. 7:199-205 |
| ISSN: | 1793-8163 |
| Popis: | This paper presents lossless compression algorithm to minimize the power consumption of the wireless sensor network (WSN). The sensor and receiver node consumes more power when transmission of data is taking place. In addition, huge data are processed in the network which also consumes energy. The main contribution of this paper is to prolong the battery life of the sensors by using compressive sensing to lessen the transmission activity and data processing. CS is a lossless data compression technique that is used to represent the signals into sparse, linear encoding and transformation matrix, and sparse recovery. Discrete Fourier transform is used to get the nonzero coefficient of the signals. L1 minimization is used to recover the signal into its original form. |
| Databáze: | OpenAIRE |
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