Mobile Performance Intelligent Evaluation of IoT Networks Based on DNN by Zhen Tang, Xiaobin Fu, Pingping Xiao

“…The rapid development of the sensor equipment has promoted the rapid growth of the Internet of Things (IoT). The IoT has been widely employed in the multidimensional signal processing and gradually formed the IoT networks. …”
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An Efficient Data Analysis Framework for Online Security Processing by Jun Li, Yanzhao Liu

“…Industrial cloud security and internet of things security represent the most important research directions of cyberspace security. …”
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Spectrum Sharing with Vehicular Communication in Cognitive Small-Cell Networks by Guilu Wu, Hongyun Chu

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Innovative Integration and Optimization of RE and Smart Energy Management Systems in Skyscrapers: Enhancing Sustainability and Energy Self-Sufficiency in Vertical Cities by Yan Bingzhuo

“…Despite challenges such as limited space, technological constraints, and high costs, emerging advancements in solid-state batteries, artificial intelligence, and Internet of Things (IoT)-based energy systems present significant opportunities. …”
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An Empirical Path-Loss Model for Wireless Channels in Indoor Short-Range Office Environment by Ye Wang, Wen-jun Lu, Hong-bo Zhu

“…The presented works should be available for the research of wireless channel characteristics under universal indoor short-distance environments in the Internet of Things (IOT).…”
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Divisive hierarchical clustering for energy saving and latency reduction in UAV-assisted WSANs by Xuan Zhang, Yong-Long Wang, Heejung Byun

“…Abstract In response to the harsh and limited conditions prevalent in remote areas, wireless sensor and actuator networks (WSANs) play an essential role in Internet-of-Things systems by monitoring and interacting with unattended environments. …”
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AFM-DViT: A framework for IoT-driven medical image analysis by Jiacheng Yang

“…With the rise of Internet of Things (IoT) in healthcare, automated medical image analysis has become essential for real-time disease detection. …”
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Distributed Risk Aversion Parameter Estimation for First-Price Auction in Sensor Networks by Xin An, Shuo Xu, Jiancheng Chen, Yuan Zhang

“…Following the Internet, the Internet of Things (IoT) becomes a prime vehicle for supporting auction. …”
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Spectral Expansion Method for Cloud Reliability Analysis by K. Kotteswari, A. Bharathi

“…With this emerging technology, application hosting, delivery, content storage, and reduced computation cost are achieved, and it acts as an essential module for the backbone of the Internet of Things (IoT). The efficiency of cloud service providers (CSP) could be improved by considering significant factors such as availability, reliability, usability, security, responsiveness, and elasticity. …”
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La prochaine génération de téléphonie mobile (5G) et ses implications (Infrastructure, Réglementation) by Edward M. Roche, Benjamin H. Dickens-Jr., Walker Townes

“…Everything from autonomous vehicles, robots conducting delicate surgery, virtual and augmented reality devices, drones, the “Internet of Things” (IoT), and generally all mobile communications will be enabled by a new tranche of bandwidth between 6-Ghz and 300-Ghz, some of it licensed, but much of it not. …”
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Research on the cooperative offloading strategy of sensory data based on delay and energy constraints by Peiyan YUAN, Saike SHAO, Ran WEI, Junna ZHANG, Xiaoyan ZHAO

“…The edge offloading of the internet of things (IoT) sensing data was investigated.Multiple edge servers cooperatively offload all or part of the sensing data initially sent to the cloud center, which protects data privacy and improves user experience.In the process of cooperative offloading, the transmission of the sensing data and the information exchange among edge servers will consume system resources, resulting in the cost of cooperation.How to maximize the offloading ratio of the sensing data while maintaining a low collaboration cost is a challenging problem.A joint optimization problem of sensing data offload ratio and cooperative scale satisfying the constraints of network delay and system energy consumption was formulated.Subsequently, a distributed alternating direction method of multipliers (ADMM) via constraint projection and variable splitting was proposed to solve the problem.Finally, simulation experiments were carried out on MATLAB.Numerical results show that the proposed method improved the network delay and energy consumption compared to the fairness cooperation algorithm (FCA), the distributed optimization algorithm (DOA), and multi-subtasks-to-multi-servers offloading scheme (MTMS) algorithm.…”
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Enhancing Energy Efficiency in Photovoltaic Systems through Smart Technology Integration: Innovations and Future Perspectives by Lin Caiwei

“…As demand for renewable energy rises, innovations in smart artificial intelligence (AI), the Internet of Things (IoT), and big data analytics are being utilized to enhance the efficiency and reliability of PV systems. …”
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A Bioinspired Fair Resource-Allocation Algorithm for TDMA-Based Distributed Sensor Networks for IoT by Young-Jae Kim, Hyun-Ho Choi, Jung-Ryun Lee

“…Many studies on distributed resource-allocation algorithms have been conducted recently because of the increasing number of network nodes and the rapidly changing network environments in the Internet of Things (IoT). In this paper, we propose the multihop DESYNC algorithm, which is a bioinspired Time Division Multiple Access- (TDMA-) based distributed resource-allocation scheme for distributed sensor networks. …”
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Differential privacy budget optimization based on deep learning in IoT by Dan LUO, Ruzhi XU, Zhitao GUAN

“…In order to effectively process the massive data brought by the large-scale application of the internet of things (IoT), deep learning is widely used in IoT environment.However, in the training process of deep learning, there are security threats such as reasoning attacks and model reverse attacks, which can lead to the leakage of the original data input to the model.Applying differential privacy to protect the training process parameters of the deep model is an effective way to solve this problem.A differential privacy budget optimization method was proposed based on deep learning in IoT, which adaptively allocates different budgets according to the iterative change of parameters.In order to avoid the excessive noise, a regularization term was introduced to constrain the disturbance term.Preventing the neural network from over fitting also helps to learn the salient features of the model.Experiments show that this method can effectively enhance the generalization ability of the model.As the number of iterations increases, the accuracy of the model trained after adding noise is almost the same as that obtained by training using the original data, which not only achieves privacy protection, but also guarantees the availability, which means balance the privacy and availability.…”
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Survey on data security and privacy-preserving for the research of edge computing by Jiale ZHANG, Yanchao ZHAO, Bing CHEN, Feng HU, Kun ZHU

“…With the rapid development and extensive application of the Internet of things (IoT),big data and 5G network architecture,the massive data generated by the edge equipment of the network and the real-time service requirements are far beyond the capacity if the traditional cloud computing.To solve such dilemma,the edge computing which deploys the cloud services in the edge network has envisioned to be the dominant cloud service paradigm in the era of IoT.Meanwhile,the unique features of edge computing,such as content perception,real-time computing,parallel processing and etc.…”
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: An IoT Driver Framework for Supporting Sensor Networks and Data Analysis by László Lengyel, Péter Ekler, Tamás Ujj, Tamás Balogh, Hassan Charaf

“…The Internet of Things (IoT) is transforming the surrounding everyday physical objects into an ecosystem of information that enriches our everyday life. …”
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Autonomous Control Architecture of Satellite Intelligent Computing Platform by GAO Jixing, XU Zhiping, DING Wenhui, DING Xihao, LIU Zhixin, YU Zhigang, LU Zhou

“…In order to meet the service quality requirements of emerging applications such as mobile Internet of things and intelligent logistics, with the progress of space and information technology, it has become one of the main methods to shorten the response time by deploying intelligent computing platforms in satellites for on-orbit data processing. …”
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Establishment of Big Data Index System of Water Resources Scheduling in Pearl River Basin by JIANG Liangyong, LI Jiqing, CHEN Siyu

“…Therefore, it is urgent toconstruct a set of big data index system for water resources scheduling in Pearl River Basin.Under the guidance of binary water cycle theory, and based on analytic hierarchy process andinformation resource planning method, this paper determines the six goals, i.e. flood control,power generation, water supply, saltwater resistance, shipping and ecological security in PearlRiver Basin, and fuses the measured data such as hydrometeorology, stage-discharge, water qualityand water ecology during water resources scheduling in the Pearl River Basin under the conditionof the Internet of Things and auxiliary information such as humanity and economy, ecologicalenvironment, flood disaster and Internet, classifies all indexes of the pressure term, state termand response term, and establishes the big data index system of water resources scheduling inPearl River Basin based on “Pressure-State-Response (PSR)”model, which provides a decision basisfor water resources management and scheduling in Pearl River Basin.…”
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The SEIRS-NIMFA epidemiological model for malware propagation analysis in IoT networks by Laura Quiroga-Sánchez, Germán A. Montoya, Carlos Lozano-Garzon

“…Abstract With the rapid advancement of Internet of Things networks and its significant cybersecurity challenges, the proposal of models capable of studying malware propagation within these structures has become highly relevant. …”
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Network Restoration for Next-Generation Communication and Computing Networks by B. S. Awoyemi, A. S. Alfa, B. T. Maharaj

“…Emerging next-generation (xG) communication and computing networks such as fifth-generation networks, software-defined networks, and internet-of-things networks have promises of fast speeds, impressive data rates, and remarkable reliability. …”
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