Internet of Things and Cyber-Physical Systems最新文献

{"title":"Constructing immersive toy trial experience in mobile augmented reality","authors":"Lingxin Yu,&nbsp;Jiacheng Zhang,&nbsp;Xinyue Wang,&nbsp;Siru Chen,&nbsp;Xuehao Qin,&nbsp;Zhifei Ding,&nbsp;Jiahao Han","doi":"10.1016/j.iotcps.2024.02.001","DOIUrl":"10.1016/j.iotcps.2024.02.001","url":null,"abstract":"<div><p>When consumers purchase toys from retail stores, the majority of toys are packaged, making it difficult for them to observe the toys comprehensively. This limitation may hinder their ability to make informed purchase decisions. To address this challenge, this paper introduces an immersive toy experience program utilizing augmented reality (AR) technology. The program utilizes the camera on mobile devices to scan and identify the toy's cover image, subsequently showcasing corresponding virtual toy models in a simulated environment. Additionally, interactive controls enable users to manipulate the viewing angles. In terms of methodology, we have specifically designed an expandable collection of toy images, allowing the recognition of recently introduced toys by adding them to the database, enhancing the scalability of our application. In comparison to previous research, our work transcends the constraints of traditional toy shopping, providing a more intuitive, interactive, and personalized experience through AR technology.</p></div>","PeriodicalId":100724,"journal":{"name":"Internet of Things and Cyber-Physical Systems","volume":"4 ","pages":"Pages 250-257"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266734522400004X/pdfft?md5=1e3a50014cb3a60d1d2d0bd8be7c6312&pid=1-s2.0-S266734522400004X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139832026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Green buildings: Requirements, features, life cycle, and relevant intelligent technologies","authors":"Siyi Yin ,&nbsp;Jinsong Wu ,&nbsp;Junhui Zhao ,&nbsp;Michele Nogueira ,&nbsp;Jaime Lloret","doi":"10.1016/j.iotcps.2024.09.002","DOIUrl":"10.1016/j.iotcps.2024.09.002","url":null,"abstract":"<div><p>Green buildings are designed and constructed according to the principles of sustainable development and are an inevitable trend in future architectural development. Nowadays, many works have studied the application of intelligence or intelligent technology in green intelligent buildings, but there is still insufficient discussion on how to integrate intelligent technology into all aspects of buildings. In view of this, this paper summarizes the design concepts of modern green buildings and takes this as the starting point to explore the classification and construction of the core needs for achieving sustainable development throughout the life cycle of buildings from five aspects: building design, building materials, building construction, building renewal and management, and building damage, and analyze the integration of relevant intelligent technologies in buildings under different needs.</p></div>","PeriodicalId":100724,"journal":{"name":"Internet of Things and Cyber-Physical Systems","volume":"4 ","pages":"Pages 307-317"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667345224000099/pdfft?md5=e3c9fa24b3676e2145e2d3f777ca90f2&pid=1-s2.0-S2667345224000099-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142274042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A self-configuration framework for balancing services in the fog of things","authors":"Edson Mota ,&nbsp;Jurandir Barbosa ,&nbsp;Gustavo B. Figueiredo ,&nbsp;Maycon Peixoto ,&nbsp;Cássio Prazeres","doi":"10.1016/j.iotcps.2024.09.003","DOIUrl":"10.1016/j.iotcps.2024.09.003","url":null,"abstract":"<div><div>Fog Computing has been playing a pivotal role in the Internet of Things (IoT) ecosystem, offering benefits such as local availability, access facilities, and enhanced communication among devices. However, managing numerous gateways in an IoT network poses service distribution and network management challenges, leading to imbalances and inefficiencies. Within this context, this paper presents a novel self-organizing environment based on the Fog of Things approach, designed to address these challenges. Our key contributions include developing the FoT Balance Management service, which dynamically configures and optimizes the distribution of services across the network. This service utilizes advanced load-balancing algorithms to ensure the workload is evenly distributed among the available gateways, preventing any single node from becoming a bottleneck for the service distributions. Additionally, we integrate Apache Karaf Cellar for real-time monitoring and adaptive reconfiguration. This integration allows the system to continuously monitor the network state and automatically reconfigure the service distribution in response to changes, such as adding or removing nodes. This approach ensures seamless adaptation to network changes, maintaining high performance and load balancing. We validate our solution through planned experiments using ANOVA and a 2^<em>k</em> factorial design. The experimental results demonstrate significant improvements in network performance, response time, and load balancing. Specifically, in scenarios with ten fog nodes, our approach increases average availability by 10 ​%–20 ​% and achieves 70 ​%–80 ​% load balancing. The analysis reveals that the absence of a balancing strategy can reduce availability by approximately 30 ​%. Our proposed solution effectively prevents infrastructure overload, balancing computation costs and node availability, thereby enhancing the efficiency and responsiveness of the IoT ecosystem.</div></div>","PeriodicalId":100724,"journal":{"name":"Internet of Things and Cyber-Physical Systems","volume":"4 ","pages":"Pages 318-332"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142357929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metaverse for smart cities: A survey","authors":"Zefeng Chen ,&nbsp;Wensheng Gan ,&nbsp;Jiayang Wu ,&nbsp;Hong Lin ,&nbsp;Chien-Ming Chen","doi":"10.1016/j.iotcps.2023.12.002","DOIUrl":"10.1016/j.iotcps.2023.12.002","url":null,"abstract":"<div><p>The concept of a smart city is geared towards enhancing convenience and the efficient management of city areas through innovation. As Metaverse rises in the 2020s, providing the possible direction for a new generation of the Internet, it has a huge number of opportunities to promote smart cities. The Metaverse can empower smart cities in various aspects. In this article, we provide a detailed review of smart cities based on Metaverse technologies. Firstly, we introduce the Metaverse and smart cities and describe the future vision and applications of smart cities, which are based on the Metaverse. In addition, we discuss the essential technologies for smart cities in the Metaverse and the currently available solutions. Additionally, we have some concerns regarding the potential of Metaverse and there are still unresolved issues that should be addressed. The purpose of this article is to provide researchers and developers with essential guidance and opportunities to propel the development of the Metaverse and smart cities.</p></div>","PeriodicalId":100724,"journal":{"name":"Internet of Things and Cyber-Physical Systems","volume":"4 ","pages":"Pages 203-216"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667345223000573/pdfft?md5=4b1fea1706d8c4603535fe4a90823712&pid=1-s2.0-S2667345223000573-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139456814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neural network inspired efficient scalable task scheduling for cloud infrastructure","authors":"Punit Gupta ,&nbsp;Arnaav Anand ,&nbsp;Pratyush Agarwal ,&nbsp;Gavin McArdle","doi":"10.1016/j.iotcps.2024.02.002","DOIUrl":"https://doi.org/10.1016/j.iotcps.2024.02.002","url":null,"abstract":"<div><p>The rapid development of Cloud Computing in the 21st Century is landmark occasion, not only in the field of technology, but also in the field of engineering and services. The development in cloud architecture and services has enabled fast and easy transfer of data from one unit of a network to other. Cloud services support the latest transport services like smart cars, smart aviation services and many others. In the current trend, smart transport services depend on the performance of cloud Infrastructure and its services. Smart cloud services derive <em>real</em> time computing and allows it to make smart decision. For further improvement in cloud services, cloud resource optimization is a vital cog that defines the performance of cloud. Cloud services have certainly aimed to make the optimum use of all available resources to the become as cost efficient and time efficient as possible. One of the issues that still occur in multiple Cloud Environments is a failure in task execution. While there exist multiple methods to tackle this problem in task scheduling, in the recent times, the use of smart scheduling techniques has come to prominence. In this work, we aim to use the Harmony Search Algorithm and neural networks to create a fault aware system for optimal usage of cloud resources. Cloud environments are in general expected to be free of any errors or faults but with time and experience, we know that no system can be faultless. With our approach, we are looking to create the best possible time-efficient system for faulty environments, Where the result shows that the proposed harmony search-inspired ANN model provides least execution time, number of task failures, power consumption and high resource utilization as compared to recent Red fox and Crow search inspired models.</p></div>","PeriodicalId":100724,"journal":{"name":"Internet of Things and Cyber-Physical Systems","volume":"4 ","pages":"Pages 268-279"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667345224000051/pdfft?md5=52d4b3c6032dcde3e4d8b4568429050a&pid=1-s2.0-S2667345224000051-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140113276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Blockchain sharding scheme based on generative AI and DRL: Applied to building internet of things","authors":"Jinlong Wang ,&nbsp;Yixin Li ,&nbsp;Yunting Wu ,&nbsp;Wenhu Zheng ,&nbsp;Shangzhuo Zhou ,&nbsp;Xiaoyun Xiong","doi":"10.1016/j.iotcps.2024.11.001","DOIUrl":"10.1016/j.iotcps.2024.11.001","url":null,"abstract":"<div><div>When applying blockchain sharding technology in the building Internet of Things (IoT) domain to enhance the throughput performance of the blockchain, cross-shard transactions triggered by device collaborative tasks have increasingly become a prominent issue. Existing solutions base their shard division on historical transaction moments, using the outcomes for future transaction processing. However, since the historical interaction characteristics do not accurately reflect the interaction details within specific fine-grained time periods, this leads to poor system performance. Additionally, the parameter configuration in blockchain sharding systems is mostly based on arbitrary or default settings, which also results in unstable system performance. To address these two challenges, this paper proposes a blockchain sharding scheme called AI-Shard. Firstly, the system includes a module, G-AI, that utilizes generative AI to predict future node interaction relationships, enabling more proactive and adaptive shard division based on the predicted interaction matrix. Secondly, the system integrates a reinforcement learning module, DL-AI, specifically tailored for configuring parameters of the blockchain sharding system, such as the number of shards, block size, and block interval, to automatically optimize them, aiming to further enhance the system's throughput. Experimental results show that AI-Shard can reduce the proportion of cross-shard transactions and improve the system's throughput.</div></div>","PeriodicalId":100724,"journal":{"name":"Internet of Things and Cyber-Physical Systems","volume":"4 ","pages":"Pages 333-349"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Designing an internet of things laboratory to improve student understanding of secure IoT systems","authors":"A. Ravishankar Rao,&nbsp;Angela Elias-Medina","doi":"10.1016/j.iotcps.2023.10.002","DOIUrl":"https://doi.org/10.1016/j.iotcps.2023.10.002","url":null,"abstract":"<div><p>In response to an alarming shortage of workers in cybersecurity and a growing skills gap, the U.S. Department of Defense is taking steps to build cybersecurity capacity through workforce training and education. In this paper, we present an approach to address this shortage and skills gap through the development of cybersecurity education courseware for internet of things (IoT) applications.</p><p>To attract students and workers into the field of cybersecurity, it is important to design courseware that is exciting and tied to real-world problems. We describe our design for an embedded systems course taught at the graduate level for engineering and computer science students. The innovation in our approach is to select the fast-growing domain of healthcare and feature different IoT sensors that are seeing increased usage. These include barcode scanners, cameras, fingerprint sensors, and pulse sensors. These devices cover important functions such as patient identification, monitoring, and creating electronic health records. We use a password protected MySQL database as a model for electronic health records. We also demonstrate potential vulnerabilities of these databases to SQL injection attacks.</p><p>We administered these labs and collected survey data from the students. We found a significant increase in student understanding of cybersecurity issues. The mean confidence level of the students in cybersecurity issues increased from 2.5 to 4.1 on a 5-point scale after taking this course, which represents a 65% increase. The instructional lab material has been uploaded to the web portal <span>https://clark.center</span><svg><path></path></svg> designated by the National Security Agency for dissemination. Our approach, design, and experimental validation methodology will be useful for educators, researchers, students, and organizations interested in re-skilling their workforce.</p></div>","PeriodicalId":100724,"journal":{"name":"Internet of Things and Cyber-Physical Systems","volume":"4 ","pages":"Pages 154-166"},"PeriodicalIF":0.0,"publicationDate":"2023-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667345223000536/pdfft?md5=cc95a3ddc1d4aa7611a556eb78ae2da5&pid=1-s2.0-S2667345223000536-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138466429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of moving target on underwater positioning by using state measurement","authors":"Tippireddy Srinivasa Reddy,&nbsp;Rajeev Arya","doi":"10.1016/j.iotcps.2023.10.004","DOIUrl":"https://doi.org/10.1016/j.iotcps.2023.10.004","url":null,"abstract":"<div><p>The localization of moving targets in an underwater acoustic wireless sensor network (UAWSN) is inaccurate due to the various underwater forces (viscous, hydrodynamic forces, perturbation of underwater). The false measurements in the sensor network cause position errors and velocity errors which disrupt the localization of the moving target. A randomly fluctuated spillover effect is introduced in the present paper. The absorption losses generated due to the spillover effect cause false measurements of the moving target. Theorem 1 describes the genesis of these absorption losses and their consequences in UAWSN. The measurements from each moving target in the presence of absorption losses are formulated in the elliptical region. A joint probabilistic data association (JPDA) method is proposed to quantify the false measurements in the elliptical region. A moving target state estimation (MTSE) algorithm is proposed to eliminate the false measurements from the moving targets and to measure the localization of moving targets with the help of the propagation speed of targets. The theoretical measurements of position RMSE and velocity RMSE are verified with standard methods. The proposed MTSE method improves the localization performance of the moving targets by 29.42 % and reduces 32.16 % of position errors and 36.23 % of velocity errors up to 550 ​m. The proposed algorithm will be useful for the sub-aquatic Internet of underwater things (IoUT).</p></div>","PeriodicalId":100724,"journal":{"name":"Internet of Things and Cyber-Physical Systems","volume":"4 ","pages":"Pages 141-153"},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266734522300055X/pdfft?md5=455c56978c4f512080835cb56f78108b&pid=1-s2.0-S266734522300055X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92101214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing civil infrastructure assessment through robotic fleets","authors":"Kay Smarsly,&nbsp;Kosmas Dragos","doi":"10.1016/j.iotcps.2023.10.003","DOIUrl":"https://doi.org/10.1016/j.iotcps.2023.10.003","url":null,"abstract":"<div><p>Modern civil engineering structures, instrumented with Internet-of-Things-enabled smart sensors and actuators, are considered cyber-physical systems that integrate physical processes with computational and communication elements. This short communication aims to portray a milestone in the field of monitoring and inspection of civil infrastructure, collaboratively conducted by autonomous, robotic devices orchestrated in robotic fleets. It is expected that robot-based civil infrastructure assessment will revolutionize structural maintenance of the deteriorating building stock, which is increasingly exacerbated by the effects of climate change and develops into a major societal challenge.</p></div>","PeriodicalId":100724,"journal":{"name":"Internet of Things and Cyber-Physical Systems","volume":"4 ","pages":"Pages 138-140"},"PeriodicalIF":0.0,"publicationDate":"2023-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667345223000548/pdfft?md5=1c9808bce0d09672bcd1b526ae436534&pid=1-s2.0-S2667345223000548-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92101213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"LEACH-D: A low-energy, low-delay data transmission method for industrial internet of things wireless sensors","authors":"Desheng Liu ,&nbsp;Chen Liang ,&nbsp;Hongwei Mo ,&nbsp;Xiaowei Chen ,&nbsp;Dequan Kong ,&nbsp;Peng Chen","doi":"10.1016/j.iotcps.2023.10.001","DOIUrl":"https://doi.org/10.1016/j.iotcps.2023.10.001","url":null,"abstract":"<div><p>In recent years, the Internet of Things (IoT) has experienced extensive adoption in industrial environments, healthcare, smart cities, and more, playing a vital role in these domains. Within IoT-based systems, wireless sensor networks (WSNs) have emerged as a crucial method for collecting peripheral environmental data within industries, owing to their self-organizational attributes. Nevertheless, the enormous volume of heterogeneous data from various sensing devices presents many challenges for IoT-enabled WSNs, encompassing high transmission delay times (TD) and excessive battery energy consumption (EC). To address these challenges, it is imperative to prioritize efficiency and optimize energy utilization. Moreover, enhancing energy efficiency within the Industrial Internet of Things (IIoT) realm hinges significantly on factors such as data transmission modes and the allocation of cluster head nodes. Numerous researchers have proposed algorithms to minimize transmission time and energy consumption, specifically focusing on industrial environments. This paper introduces an inventive clustering-based data transmission algorithm for IIoT, LEACH-D, to enhance efficiency. The LEACH-D algorithm improves the transmission task duration while maintaining consistent battery energy consumption. It also seeks to elevate performance in metrics such as average transmission time during the first node death (FND). Numerous experimental results provide strong evidence that the algorithm introduced in this paper has effectively reduced the average transmission time by remarkable percentages: 51.32%, 12.12%, 12.96%, and 5.42%, while simultaneously increasing the number of FND rounds by significant margins: 222.43%, 36.63%, 33.72%, and 7.81%, respectively. These improvements stand in stark contrast to the performance of existing algorithms, including FREE_MODE, LEACH, EE-LEACH, and ETH-LEACH.</p></div>","PeriodicalId":100724,"journal":{"name":"Internet of Things and Cyber-Physical Systems","volume":"4 ","pages":"Pages 129-137"},"PeriodicalIF":0.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49883529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}