Abstract
The Wireless Network-on-Chip (WiNoC) technology has emerged as a promising approach to overcome the growing communication constraints present in multi-core systems. Nevertheless, a significant obstacle is presented by WiNoCs’ steadily rising energy consumption. In this article, we present a novel method for addressing this issue by combining adaptive joint source coding with low-density parity-check (LDPC) encoding. This strategy is presented as an innovative way to handle the problem. Two key modifications are involved in the implementation of our method: firstly, the accurate tuning of the transform coding threshold in compressive sensing to achieve effective data compression, and secondly, the intelligent control of the number of parity checks in LDPC coding to reduce both energy consumption and latency. These adaptive techniques are tailored to meet the signal-to-noise ratio estimates and the dependability standards unique to the application. Our findings demonstrate a substantial accomplishment, with a remarkable 4.2% reduction in power consumption compared to other methods currently in use. This achievement highlights the vast potential for achieving significant energy savings in real-world applications and is a pioneering contribution to the development of energy-efficient communication systems.
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Sindgi, A., Mahadevaswamy, U.B. Adaptive joint source coding LDPC for energy efficient communication in wireless network on chip. Int J Syst Assur Eng Manag 15, 3688–3705 (2024). https://doi.org/10.1007/s13198-024-02370-3
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DOI: https://doi.org/10.1007/s13198-024-02370-3