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Future Internet
Special Issues
Joint Design and Integration in Smart IoT Systems
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Joint Design and Integration in Smart IoT Systems

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: 10 April 2025 | Viewed by 5146

Special Issue Editors

Prof. Dr. Wei Yu

grade E-Mail Website
Guest Editor
Department of Computer & Information Sciences, Towson University, Towson, MD 21252, USA
Interests: cyber security and privacy; cyber-physical systems/Internet of Things; data and machine learning-driven applications
Special Issues, Collections and Topics in MDPI journals
Dr. Guobin Xu

E-Mail Website
Guest Editor
Department of Computer Science, Morgan State University, Baltimore, MD 21251, USA
Interests: cyber-physical systems; Internet of Things; computer security; quantum cryptography; data mining

Special Issue Information

Dear Colleagues,

The use of Internet of Things (IoT) technology spans various application domains (e.g., transportation, energy, healthcare, manufacturing, and agriculture). A smart system empowered by IoT technology (also called a smart IoT system) integrates sensing, communication, and computation components into one system. The architecture of smart systems is composed of physical, communication, and computation layers. The physical layer comprises heterogeneous devices that facilitate sensing and actuation and capture and preprocess data from the surrounding environment. The communication layer enables efficient and reliable data transmission among components by leveraging network protocols, standards, and technologies. The computation layer provides intelligent decision making and automation through the use of edge/cloud computing and AI technologies.

Smart systems are large, distributed, and complex systems, empowered through diverse IoT technologies and involving the integration and management of heterogeneous components in different layers. However, there are numerous challenges associated with the design, integration, management, and coordination of smart systems. Developing cross-component and cross-layer architectures, standards, and frameworks is necessary to support efficient smart systems. Likewise, the scalability, interoperability, connectivity, security, and resilience requirements of smart systems must also be carefully considered. The papers in this Special Issue address the above challenges and propose solutions for the joint design and integration of smart systems at various levels.

We invite original research papers that focus on, but are not limited to, the following topics related to smart systems:

  • Integration design architecture and frameworks;
  • Co-design of sensing and communication components;
  • Co-design of communication and computing components;
  • Co-design of sensing and computing components;
  • Co-design of sensing, communication, and computing components;
  • AI-assisted co-design of sensing, communication, and computing components;
  • Modeling and simulation environments for evaluating co-design methodologies;
  • Security and privacy in the co-design and integration of smart systems;
  • Data science, engineering, and practice in the co-design and integration of smart systems;
  • Machine learning models and architectures in the co-design and integration of smart systems.

Prof. Dr. Wei Yu
Dr. Guobin Xu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Internet of Things
  • smart systems
  • integration design architecture
  • co-design modeling and simulation
  • machine learning and data science/engineering in IoT
  • security in IoT

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Published Papers (2 papers)

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12 pages, 747 KiB  
Article
Improving the Efficiency of Modern Warehouses Using Smart Battery Placement
by Nikolaos Baras, Antonios Chatzisavvas, Dimitris Ziouzios, Ioannis Vanidis and Minas Dasygenis
Future Internet 2023, 15(11), 353; https://doi.org/10.3390/fi15110353 - 26 Oct 2023
Viewed by 1578
Abstract
In the ever-evolving landscape of warehousing, the integration of unmanned ground vehicles (UGVs) has profoundly revolutionized operational efficiency. Despite this advancement, a key determinant of UGV productivity remains its energy management and battery placement strategies. While many studies explored optimizing the pathways within [...] Read more.
In the ever-evolving landscape of warehousing, the integration of unmanned ground vehicles (UGVs) has profoundly revolutionized operational efficiency. Despite this advancement, a key determinant of UGV productivity remains its energy management and battery placement strategies. While many studies explored optimizing the pathways within warehouses and determining ideal power station locales, there remains a gap in addressing the dynamic needs of energy-efficient UGVs operating in tandem. The current literature largely focuses on static designs, often overlooking the challenges of multi-UGV scenarios. This paper introduces a novel algorithm based on affinity propagation (AP) for smart battery and charging station placement in modern warehouses. The idea of the proposed algorithm is to divide the initial area into multiple sub-areas based on their traffic, and then identify the optimal battery location within each sub-area. A salient feature of this algorithm is its adeptness at determining the most strategic battery station placements, emphasizing uninterrupted operations and minimized downtimes. Through extensive evaluations in a synthesized realistic setting, our results underscore the algorithm’s proficiency in devising enhanced solutions within feasible time constraints, paving the way for more energy-efficient and cohesive UGV-driven warehouse systems. Full article
(This article belongs to the Special Issue Joint Design and Integration in Smart IoT Systems)
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Review

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25 pages, 2498 KiB  
Review
Open Radio Access Networks for Smart IoT Systems: State of Art and Future Directions
by Abubakar Ahmad Musa, Adamu Hussaini, Cheng Qian, Yifan Guo and Wei Yu
Future Internet 2023, 15(12), 380; https://doi.org/10.3390/fi15120380 - 27 Nov 2023
Cited by 3 | Viewed by 3054
Abstract
The Internet of Things (IoT) constitutes a vast network comprising various components such as physical devices, vehicles, buildings, and other items equipped with sensors, actuators, and software. These components are interconnected, facilitating the collection and exchange of copious data across networked communications. IoT [...] Read more.
The Internet of Things (IoT) constitutes a vast network comprising various components such as physical devices, vehicles, buildings, and other items equipped with sensors, actuators, and software. These components are interconnected, facilitating the collection and exchange of copious data across networked communications. IoT empowers extensive monitoring and control over a myriad of objects, enabling them to gather and disseminate data that bolster applications, thereby enhancing the system’s capacity for informed decision making, environmental surveillance, and autonomous inter-object interaction, all without the need for direct human involvement. These systems have achieved seamless connectivity requirements using the next-generation wireless network infrastructures (5G, 6G, etc.), while their diverse reliability and quality of service (QoS) requirements across various domains require more efficient solutions. Open RAN (O-RAN), i.e., open radio open access network (RAN), promotes flexibility and intelligence in the next-generation RAN. This article reviews the applications of O-RAN in supporting the next-generation smart world IoT systems by conducting a thorough survey. We propose a generic problem space, which consists of (i) IoT Systems: transportation, industry, healthcare, and energy; (ii) targets: reliable communication, real-time analytics, fault tolerance, interoperability, and integration; and (iii) artificial intelligence and machine learning (AI/ML): reinforcement learning (RL), deep neural networks (DNNs), etc. Furthermore, we outline future research directions concerning robust and scalable solutions, interoperability and standardization, privacy, and security. We present a taxonomy to unveil the security threats to emerge from the O-RAN-assisted IoT systems and the feasible directions to move this research forward. Full article
(This article belongs to the Special Issue Joint Design and Integration in Smart IoT Systems)
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