Artificial Intelligence and Computing in IoT-Based Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 2362
Special Issue Editor
Interests: edge computing; blockchain; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, there has been remarkable development in artificial intelligence (AI), particularly in IoT-based applications. The availability of abundant AI computing power is a critical driver behind the proliferation of AI applications across different domains. The rapidly advancing AI computing technology and frameworks, characterized by heterogeneity, acceleration, and programmability, have created numerous opportunities for meaningful research and practical applications of AI.
Indeed, there is a long way to go before the computing-networking amalgamation system reaches maturity, and several challenges need to be addressed. Firstly, providing users with adaptable AI computing services to cater to their diverse requirements is crucial. The insights derived from extensive neural network (NN) training lead to a surging demand for AI computing power. Secondly, supporting flexible networking services is essential for achieving rapid response times. The collaboration between various end devices, edge nodes, and clouds in delivering AI services can lead to network congestion and low energy efficiency. Thirdly, ensuring the welfare of computing power providers is vital to maximize the value of the computing-networking system. The incentive mechanism and business model play a pivotal role in driving widespread adoption. Therefore, deep consideration is required to understand the motivations behind assisting others in training their NNs by contributing one's own computing power.
This featured topic seeks comprehensive discussions on innovative functionalities and technologies, including protocols, across a diverse range of computing and networking equipment. Examples of such equipment include base stations, femtocells/small cells, mobile phones, Wi-Fi routers, and edge computing servers. The topic encompasses various perspectives, such as amalgamated algorithms, allocation schemes, incentive modeling, and optimization. The goal is to offer tutorial information, share recent research outcomes, review economic opportunities, address technical challenges, explore potential regulatory solutions, and identify emerging trends. Through this feature topic, we aim to promote a deeper understanding of the advancements in computing and networking domains, fostering collaboration and knowledge dissemination among researchers and practitioners.
Dr. Chao Qiu
Guest Editor
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Keywords
- AI
- computing-networking amalgamation system
- AI computing services
- IoT-based applications
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