Опубликована: Сен. 18, 2024
Язык: Английский
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
64
Future Internet, Год журнала: 2023, Номер 15(12), С. 383 - 383
Опубликована: Ноя. 28, 2023
The rapid growth in the number of interconnected devices on Internet (referred to as Things—IoT), along with huge volume data that are exchanged and processed, has created a new landscape network design operation. Due limited battery size computational capabilities IoT nodes, processing usually takes place external devices. Since latency minimization is key concept modern-era networks, edge servers close proximity nodes gather process related data, while some cases offloading cloud might have take place. interconnection vast heterogeneous cloud, where IoT, edge, converge form computing continuum, also known IoT-edge-cloud (IEC) continuum. Several challenges associated this systems’ architectural approach, including (i) connection programming protocols aimed at properly manipulating over diverse infrastructures; (ii) efficient task algorithms optimizing services execution; (iii) support for security privacy enhancements during transfer deal existent even unforeseen attacks threats landscape; (iv) scalability, flexibility, reliability guarantees face expected mobility systems; (v) optimal resource allocation mechanisms make most out available resources. These will become more significant towards era sixth-generation (6G) which be based integration various cutting-edge technologies. Therefore, goal survey paper present all recent developments field IEC continuum systems, respect aforementioned deployment challenges. In same context, potential limitations future highlighted well. Finally, indicative use presented from an perspective.
Язык: Английский
Процитировано
19
Smart Cities, Год журнала: 2024, Номер 7(1), С. 680 - 711
Опубликована: Фев. 19, 2024
The management of decentralized energy resources and smart grids needs novel data-driven low-latency applications services to improve resilience responsiveness ensure closer real-time control. However, the large-scale integration Internet Things (IoT) devices has led generation significant amounts data at edge grid, posing challenges for traditional cloud-based smart-grid architectures meet stringent latency response time requirements emerging applications. In this paper, we delve into grid computational distribution architectures, including edge–fog–cloud models, orchestration, frameworks support design offloading across continuum. Key factors influencing process, such as network performance, Artificial Intelligence (AI) processes, requirements, application-specific factors, efficiency, are analyzed considering operational requirements. We conduct a comprehensive overview current research landscape decision-making regarding strategies from cloud fog or edge. focus is on metaheuristics identifying near-optimal solutions reinforcement learning adaptively optimizing process. A macro perspective determining when what offload in provided next-generation AI applications, offering an features trade-offs selecting between federated solutions. Finally, work contributes understanding grids, providing Strengths, Weaknesses, Opportunities, Threats (SWOT) analysis cost–benefit strategies.
Язык: Английский
Процитировано
8
Опубликована: Июль 6, 2023
This research used a wearable sensor to gather photoplethysmography (PPG) signals from 15 healthy subjects. The dataset includes 7,308 PPG segments, each containing 8 seconds of data and corresponding labels indicating the type physical activity subject performed. article proposes convolutional neural network (CNN) model classify signals. proposed several layers: batch normalization, convolutional, max-pooling, dropout, fully connected. output layer uses softmax activation function compute probabilities class. Regarding performance, suggested CNN outperforms conventional models like SVM with RBF kernel, Decision Tree, Random Forest. also suggests techniques optimize further, which can be beneficial for developing IoMT applications such as recognition vital signs monitoring.
Язык: Английский
Процитировано
16
Applied Sciences, Год журнала: 2023, Номер 13(6), С. 4040 - 4040
Опубликована: Март 22, 2023
The technological maturity of AI solutions has been consistently increasing over the years, expanding its application scope and domains. Smart home systems have evolved to act as proactive assistants for their residents, autonomously detecting behavioral patterns, inferring needs, making decisions pertaining management control various subsystems. implementation explainable (XAI) in this challenging domain can improve user experience trust by providing clear understandable explanations system’s behavior. article discusses importance artificial intelligence smart systems, which are becoming progressively smarter more accessible end-users, presents an agent-based approach developing Internet things (IoT) experiment conducted at Centre Real Time Computer Systems Kaunas University Technology. proposed method was adapted build explainable, rule-based system controlling light, heating, ventilation. results study serve a demonstration feasibility effectiveness theoretical real-world scenarios.
Язык: Английский
Процитировано
13
Опубликована: Ноя. 8, 2023
The rapid growth in the number of interconnected devices on Internet (referred to as Things – IoT), along with huge volume data that are exchanged and processed, has created a new landscape network design operation. Due limited battery size computational capabilities IoT nodes, processing usually takes place external devices. Since latency minimization is key concept modern era networks, edge servers close proximity nodes gather process related data, while some cases offloading cloud might have take place. interconnection vast heterogeneous cloud, where IoT, converge form computing continuum, also known IoT-edge-cloud (IEC) continuum. Several challenges associated this systems architectural approach, including: i) connection programming protocols aimed at properly manipulating over diverse infrastructures; ii) efficient task algorithms optimizing services execution; iii) support for security privacy enhancements during transfer deal existent even unforeseen attacks threats landscape; iv) scalability, flexibility reliability guarantees face expected mobility systems, and; v) optimal resource allocation mechanisms make most out available resources. These become more significant towards sixth generation (6G) which will be based integration various cutting technologies. Therefore, goal survey paper present all recent developments field IEC continuum respect aforementioned deployment challenges. In same context, potential limitations future highlighted well. Finally, indicative use presented, from an perspective.
Язык: Английский
Процитировано
12
Multimedia Tools and Applications, Год журнала: 2023, Номер 82(23), С. 36143 - 36177
Опубликована: Март 16, 2023
Язык: Английский
Процитировано
10
Advances in computational intelligence and robotics book series, Год журнала: 2024, Номер unknown, С. 108 - 143
Опубликована: Фев. 23, 2024
This chapter provides a comprehensive exploration of networking challenges in today's evolving landscape. It introduces the concept artificial intelligence things (AIoT) and demonstrates synergy between AI IoT addressing these challenges. Through holistic AIoT strategy, guides readers designing implementing proactive network monitoring, predictive maintenance, enhanced security measures, quality service management, automation, data-driven decision-making. emphasizes tangible benefits AIoT, including optimized performance, cost reduction, improved user experiences. Real-world case studies highlight successful implementations, offering valuable lessons. The also delves into emerging trends, ethical considerations, concludes by emphasizing implications need for forward-looking approach productivity.
Язык: Английский
Процитировано
3
Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Ноя. 25, 2024
Ensuring robust network security is crucial in the context of Software-Defined Networking(SDN). Which, becomes a multi-billion dollar industry, and it's deployed many data centers nowadays. The new technology provides programmability, centralized control, global view network. But, unfortunately, it comes with vulnerabilities, attack vectors compared to traditional SDN cybersecurity became trending research topic due hype Machine Learning (ML) when group Learning(ML) techniques called Deep Learning(DL) started take shape setting networks. This paper focuses on developing advanced models address inherent vectors. In this paper, we have built two that can be used for building complete Intrusion Detection System(IDS) solution, one using hybrid CNN-LSTM architecture other Transformer encoder-only architecture. We specifically target controller where represents point. utilized InSDN dataset training testing our models, captures real-world traffic within environment. For evaluation, accuracy, precision, recall, F1 Score. Our experiment results show model 48 features achieves highest accuracy at 99.02%, while 99.01%. reduced 6 4, which gave us varying impacts models' performance. merged 4 poorly represented attacks class, enhanced by significant score. Additionally, investigate binary classification merging all types into single as result, increased both models. best an 99.19% feature sets, enhances state-of-the-art results.
Язык: Английский
Процитировано
3
Discover Nano, Год журнала: 2024, Номер 19(1)
Опубликована: Дек. 5, 2024
Abstract The integration of nanotechnology in agriculture offers a transformative approach to improving crop yields, resource efficiency, and ecological sustainability. This review highlights the application functional NM, such as nano-formulated agrochemicals, nanosensors, slow-release fertilizers, which enhance effectiveness fertilizers pesticides while minimizing environmental impacts. By leveraging unique properties agricultural practices can achieve better nutrient absorption, reduced chemical runoff, improved water conservation. Innovations like nano-priming seed germination drought resilience, nanosensors enable precise monitoring soil health. Despite promising commercial potential, significant challenges persist regarding safety, impact, regulatory frameworks for nanomaterial use. emphasizes need comprehensive safety assessments standardized risk evaluation protocols ensure responsible implementation agriculture.
Язык: Английский
Процитировано
3