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RSSI Estimation for Constrained Indoor Wireless Networks using ANN
April 25, 2024, 7:42 p.m. | Samrah Arif, M. Arif Khan, Sabih Ur Rehman
cs.LG updates on arXiv.org arxiv.org
Abstract: In the expanding field of the Internet of Things (IoT), wireless channel estimation is a significant challenge. This is specifically true for low-power IoT (LP-IoT) communication, where efficiency and accuracy are extremely important. This research establishes two distinct LP-IoT wireless channel estimation models using Artificial Neural Networks (ANN): a Feature-based ANN model and a Sequence-based ANN model. Both models have been constructed to enhance LP-IoT communication by lowering the estimation error in the LP-IoT wireless …
abstract accuracy ann artificial arxiv challenge communication cs.lg cs.ni eess.sp efficiency internet internet of things iot low networks power research true type wireless
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