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Title |
C-RLE: Energy efficient compression approach for Wireless Sensor Networks |
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Author |
Marwen Roukhami, Younes Lahbib, Abdelkader Mami |
| Citation |
Vol. 18 No. 6 pp. 49-58 |
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Abstract |
In wireless sensor network (WSN), data transmission and acquisition are the two main activities. However, the actual transmission / reception of the collected data is often the most energy consuming task, which affects the lifetime of WSN. One promising approach to reduce the total power consumption of the sensor node is data compression before transmission. In this article, we propose and evaluate a new compression approach, called C-RLE. It is based on the principle of the K-RLE algorithm. Proposed C-RLE solves the problem of trade-off between energy consumption and compression rate efficiency in K-RLE. To prove the effectiveness of our proposed solution, we compare its performance with both RLE and K-RLE algorithms using real-world datasets. We checked this effectiveness also using software and hardware implementations. The C-RLE proposed algorithm is firstly coded in C and implemented on Cortex-M3 based CPU. Then, a hardware architecture is descripted in VHDL and integrated on Spartan 3A FPGA platform. Experimentation shows that our proposed C-RLE approach keeps the same K-RKE's performance in term of compression ratio while the energy consumed can decrease up to 27.03% et 16.67% compared to the K-RLE and RLE algorithms, respectively. |
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Keywords |
Wireless sensor networks (WSNs), low power data compression, energy efficiency, hardware design FPGA, Cortex-M3 STM32L1. |
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