Journal of Advanced Research, Год журнала: 2023, Номер 66, С. 31 - 38
Опубликована: Ноя. 24, 2023
The concept of the metaverse, a virtual world where users can interact with computer-generated environment, has received significant attention recently.
Язык: Английский
IEEE Communications Surveys & Tutorials, Год журнала: 2023, Номер 26(1), С. 619 - 669
Опубликована: Ноя. 30, 2023
The proliferation of ubiquitous Internet Things (IoT) sensors and smart devices in several domains embracing healthcare, Industry 4.0, transportation agriculture are giving rise to a prodigious amount data requiring everincreasing computations services from cloud the edge network.Fog/Edge computing is promising distributed paradigm that has drawn extensive attention both industry academia.The infrastructural efficiency these paradigms necessitates adaptive resource management mechanisms for offloading decisions efficient scheduling.Resource Management (RM) non-trivial issue whose complexity result heterogeneous resources, incoming transactional workload, node discovery, Quality Service (QoS) parameters at same time, which makes efficacy resources even more challenging.Hence, researchers have adopted Artificial Intelligence (AI)-based techniques resolve abovementioned issues.This paper offers comprehensive review issues challenges Fog/Edge by categorizing them into provisioning task offloading, scheduling, service placement, load balancing.In addition, existing AI non-AI based state-of-the-art solutions been discussed, along with their QoS metrics, datasets analysed, limitations challenges.The survey provides mathematical formulation corresponding each categorized issue.Our work sheds light on research directions cutting-edge technologies such as Serverless computing, 5G, Industrial IoT (IIoT), blockchain, digital twins, quantum Software-Defined Networking (SDN), can be integrated frameworks fog/edge-of-things improve business intelligence analytics amongst IoT-based applications.
Язык: Английский
Процитировано
97
Telematics and Informatics Reports, Год журнала: 2024, Номер 13, С. 100116 - 100116
Опубликована: Янв. 8, 2024
Язык: Английский
Процитировано
74
Energies, Год журнала: 2023, Номер 16(8), С. 3465 - 3465
Опубликована: Апрель 14, 2023
The Internet of Things (IoT) is a global network interconnected computing, sensing, and networking devices that can exchange data information via various protocols. It connect numerous smart thanks to recent advances in wired, wireless, hybrid technologies. Lightweight IoT protocols compensate for with restricted hardware characteristics terms storage, Central Processing Unit (CPU), energy, etc. Hence, it critical identify the optimal communication protocol system architects. This necessitates an evaluation next-generation networks improved connectivity. paper highlights significant wireless wired technologies their applications, offering new categorization conventional provides in-depth analysis detailed technical about stacks, limitations, applications. study further compares industrial IoT-compliant software simulation tools. Finally, summary current challenges, along broad overview future directions tackle next generation. aims provide comprehensive primer on concepts, protocols, insights academics professionals use contexts.
Язык: Английский
Процитировано
62
Nature Computational Science, Год журнала: 2024, Номер 4(3), С. 169 - 177
Опубликована: Март 26, 2024
Язык: Английский
Процитировано
59
Information, Год журнала: 2024, Номер 15(5), С. 268 - 268
Опубликована: Май 9, 2024
Artificial intelligence (AI) and blockchain technology have emerged as increasingly prevalent influential elements shaping global trends in Information Communications Technology (ICT). Namely, the synergistic combination of AI introduces beneficial, unique features with potential to enhance performance efficiency existing ICT systems. However, presently, confluence these two disruptive technologies remains a rather nascent stage, undergoing continuous exploration study. In this context, work at hand offers insight regarding most significant intersection. Sixteen outstanding, recent articles exploring been systematically selected thoroughly investigated. From them, fourteen key extracted, including data security privacy, encryption, sharing, decentralized intelligent systems, efficiency, automated decision collective making, scalability, system security, transparency, sustainability, device cooperation, mining hardware design. Moreover, drawing upon related literature stemming from major digital databases, we constructed timeline technological convergence comprising three eras: emerging, convergence, application. For era, categorized pertinent into primary groups: manipulation, applicability legacy issues. application elaborate on impact fusion perspective five distinct focus areas, Internet Things applications cybersecurity, finance, energy, smart cities. This multifaceted, but succinct analysis is instrumental delineating pinpointing characteristics inherent their integration. The paper culminates by highlighting prevailing challenges unresolved questions AI-based thereby charting avenues for future scholarly inquiry.
Язык: Английский
Процитировано
26
IEEE Access, Год журнала: 2024, Номер 12, С. 25469 - 25490
Опубликована: Янв. 1, 2024
The Internet of Things (IoT) has revolutionized various domains, enabling interconnected devices to communicate and exchange data. integration Artificial Intelligence (AI) in IoT systems further enhances their capabilities potential benefits. Unfortunately, the era AI, ensuring privacy security faces novel specific challenges. is imperative, necessitating comprehensive strategies, including comprehension challenges, implementation AI methodologies, adoption resilient frameworks, handling ethical concerns construct dependable secure systems. It vital note that term 'security' encompasses a more view than cyberattacks alone. Therefore, with an emphasis on securing against cyberattacks, this survey also includes physical threats IoT. investigates complexities solutions for systems, placing particular AI-based techniques. paper undertakes categorization challenges associated security, utilization presents frameworks underscores considerations, provides insights derived from practical case studies. Furthermore, sheds light emerging trends concerning era. This significant contributions understanding establishing through exhaustive examination present condition ramifications it.
Язык: Английский
Процитировано
21
Cluster Computing, Год журнала: 2024, Номер 28(1)
Опубликована: Окт. 18, 2024
Язык: Английский
Процитировано
19
International Journal of Thermofluids, Год журнала: 2025, Номер unknown, С. 101119 - 101119
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
5
Applied Sciences, Год журнала: 2025, Номер 15(3), С. 1026 - 1026
Опубликована: Янв. 21, 2025
This study proposes a method for selecting suitable edge hardware and Artificial Intelligence (AI) models to be deployed on these devices. Edge AI, which enables devices at the network periphery perform intelligent tasks locally, is rapidly expanding across various domains. However, appropriate AI multi-faceted challenge due wide range of available options, diverse application requirements, unique constraints environments, such as limited computational power, strict energy constraints, need real-time processing. Ad hoc approaches often lead non-optimal solutions inefficiency problems. Considering issues, we propose based ISO/IEC 25010:2011 quality standard, integrating Multi-Criteria Decision Analysis (MCDA) techniques assess both software aspects applications systematically. For proposed method, conducted an experiment consisting two stages: In first stage experiment, show applicability different use cases, tested with four scenarios UAVs, each presenting distinct requirements. second guided by method’s recommendations Scenario I, where STM32H7 series microcontrollers were identified object detection model Single Shot Multi-Box Detector (SSD) architecture MobileNet backbone model, developed TensorFlow Lite from scratch enhance efficiency versatility categories. additional aimed how can guide further development optimized tailored requirements specific hardware.
Язык: Английский
Процитировано
3
IEEE Transactions on Consumer Electronics, Год журнала: 2023, Номер 69(4), С. 1023 - 1034
Опубликована: Сен. 21, 2023
The Internet revolution and Moore's Law drove the rapid expansion of connected consumer electronics. As massive data is generated by Things (IoT) devices, edge computing has been developed applied in electronics to provide agile real-time services. In this paper, we an overview artificial intelligence (AI)-empowered We start with background outline key characteristics challenges, which are used evaluate state research smart homes, buildings, healthcare, intelligent diagnosis. evaluation shows that AI-empowered for mainly focused on latency, robustness, reliability over past 5 years. However, explainability load balancing mentioned less have great potential future research. Although a thriving widely area, there still many unsolved problems challenges researchers can address.
Язык: Английский
Процитировано
30