DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things

At the heart of the Internet of Things (IoT) – a domain witnessing explosive growth – the imperative for energy efficiency and the extension of device lifespans has never been more pressing. This paper presents DEEP-IoT, an innovative communication paradigm poised to redefine how IoT devices communicate. Through a pioneering feedback channel coding strategy, DEEP-IoT challenges and transforms the traditional transmitter (IoT devices)-centric communication model to one where the receiver (the access point) play a pivotal role, thereby cutting down energy use and boosting device longevity. We not only conceptualize DEEP-IoT but also actualize it by integrating deep learning-enhanced feedback channel codes within a narrow-band system. Simulation results show a significant enhancement in the operational lifespan of IoT cells – surpassing traditional systems using Turbo and Polar codes by up to 52.71%. This leap signifies a paradigm shift in IoT communications, setting the stage for a future where IoT devices boast unprecedented efficiency and durability.

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Publication Details

Journal
IEEE Transactions on Wireless Communications
Published
2024-12-13
DOI
https://doi.org/10.1109/twc.2024.3512589
Citations
8
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
2.79
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article

DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things

Yulin Shao
8 citations
IEEE Transactions on Wireless Communications
IoT and Edge/Fog Computing
2.79
article

DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things

Yulin Shao
article en
8 citations

Abstract

At the heart of the Internet of Things (IoT) – a domain witnessing explosive growth – the imperative for energy efficiency and the extension of device lifespans has never been more pressing. This paper presents DEEP-IoT, an innovative communication paradigm poised to redefine how IoT devices communicate. Through a pioneering feedback channel coding strategy, DEEP-IoT challenges and transforms the traditional transmitter (IoT devices)-centric communication model to one where the receiver (the access point) play a pivotal role, thereby cutting down energy use and boosting device longevity. We not only conceptualize DEEP-IoT but also actualize it by integrating deep learning-enhanced feedback channel codes within a narrow-band system. Simulation results show a significant enhancement in the operational lifespan of IoT cells – surpassing traditional systems using Turbo and Polar codes by up to 52.71%. This leap signifies a paradigm shift in IoT communications, setting the stage for a future where IoT devices boast unprecedented efficiency and durability.

IEEE Transactions on Wireless CommunicationsVol. 24(2)
University of Macau (MO), City University of Macau (MO)
Affordable and clean energy
Openalex Percentile: Top 9%
IoT and Edge/Fog Computing
2.79
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