2025, Vol. 6, Issue 2, Part A
AI-enhanced edge devices for real-time signal processing in IoT networks
Author(s): Fatima Al-Harthy
Abstract: The exponential growth of the Internet of Things (IoT) has resulted in massive volumes of heterogeneous data that require efficient, real-time signal processing. Traditional cloud-centric architectures face significant challenges, including high latency, bandwidth limitations, and energy overheads, which hinder their ability to support latency-sensitive applications. This research investigates the integration of artificial intelligence (AI) with edge computing as a transformative framework to address these limitations. Using a testbed of heterogeneous IoT devices equipped with lightweight deep learning models and energy-efficient accelerators, experimental results were compared across three deployment modes: edge (local inference), fog (partial offloading), and cloud (full offloading). Statistical analyses revealed that edge devices consistently achieved the lowest latency (~35 ms), the highest bandwidth efficiency (~3 KB per sample), and favorable energy profiles, while maintaining near-cloud classification accuracy (~94%). Fog configurations offered intermediate performance, whereas cloud deployment, while slightly improving accuracy (~96%), imposed substantial penalties in latency, bandwidth, and energy. The findings validate the hypothesis that AI-enhanced edge devices can achieve real-time intelligence with minimal resource overhead, supporting applications in healthcare, autonomous systems, industrial automation, and smart environments. Practical recommendations derived from the study emphasize the adoption of model compression, hardware-software co-design, hybrid deployment strategies, and integrated security mechanisms to optimize edge performance. Overall, this research demonstrates that AI-enabled edge intelligence is not merely a complementary alternative but a pivotal advancement toward resilient, efficient, and privacy-preserving IoT ecosystems.
DOI: 10.22271/27084531.2025.v6.i2a.90
Pages: 09-13 | Views: 5 | Downloads: 1
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How to cite this article:
Fatima Al-Harthy. AI-enhanced edge devices for real-time signal processing in IoT networks. Int J Res Circuits Devices Syst 2025;6(2):09-13. DOI: 10.22271/27084531.2025.v6.i2a.90
