Designing an ultra-efficient Hamming code generator circuit for a secure nano-telecommunication network

Xie, Hongbo; Qi, Yincheng; Alyousuf, Farah Qasim Ahmed

doi:10.1016/j.micpro.2023.104961

Cited by 1 publication

(1 citation statement)

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“…Hamming codes play an important role in reducing power consumption by decreasing the computational cost related to error correction. This contributes to the durability of battery powered devices and facilitates the seamless integration of IoT inside LPWAN architectures [ 25 , 26 ]. The objective of this study is to examine the intricacies of power efficient encoding and decoding techniques by specifically focusing on Hamming codes within the domains of LPWAN and IoT, thereby contributing to the existing research on communication technologies that prioritize energy conservation.…”

Section: Study Paradigmmentioning

confidence: 99%

Error mitigation in LPWAN systems: A study on the efficacy of Hamming-coded RPW

Ali,

Hashim,

Ahmad

et al. 2024

PLoS ONE

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Rotating Polarization Wave (RPW) is a novel Low Power Wide Area Networks (LPWAN) technology for robust connectivity and extended coverage area as compared to other LPWAN technologies such as LoRa and Sigfox when no error detection and correction is employed. Since, IoT and Machine-to-Machine (M2M) communication demand high reliability, RPW with error correction can significantly enhance the communication reliability for critical IoT and M2M applications. Therefore, this study investigates the performance of RPW with single bit error detection and correction using Hamming codes to avoid substantial overhead. Hamming (7,4) coded RPW shows a remarkable improvement of more than 40% in error performance compared to uncoded RPW thereby making it a suitable candidate for IoT and M2M applications. Error performance of coded RPW outperforms coded Chirp Spread Spectrum (CSS) modulation used in LoRa under multipath conditions by 51%, demonstrating superior adaptability and robustness under dynamic channel conditions. These findings provide valuable insights into the ongoing developments in wireless communication systems whilst reporting Q-RPW model as a new and effective method to address the needs of developing LPWAN and IoT ecosystems.

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Section: Study Paradigmmentioning

confidence: 99%