SLSMP: Time Synchronization and Localization Using Seawater Movement Pattern in Underwater Wireless Networks by Sungryul Kim, Younghwan Yoo

“…Time synchronization and localization in underwater environment are challenging due to high propagation delay, time measurement error, and node mobility. …”
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A Diagnosis-Based Clustering and Multipath Routing Protocol for Wireless Sensor Networks by Wenjun Liu, Shukui Zhang, Jianxi Fan

“…In wireless sensor networks, it is of great importance for fault diagnosis to ensure the gathering information accuracy and reduce energy additionally consumed by faulty nodes, for the deployment of a large number of sensor nodes in hostile environment. …”
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Autoencoder neural network-based abnormal data detection in edge computing enabled large-scale IoT systems by Tianqi YU, Yongxu ZHU, Xianbin WANG

“…Given the advantages of low cost and easy deployment,large-scale Internet of things (IoT) has been deployed for environment monitoring pervasively.Within such systems,cloud platform is typically utilized as a remote data and control center.However,tremendous amount of data uploading and processing induce huge challenges on bandwidth load and real-time data gathering.In order to overcome these challenges,edge computing enabled IoT system architecture was proposed for environmental monitoring.As the intermediate layer,local processing could be supported for end devices with low latency and assist with preliminary analysis to offload computational tasks from cloud and the amount of data uploading could be reduced.Based on this system architecture,an autoencoder neural network-based abnormal data detection scheme was developed newly.Performance evaluation has been conducted based on the practical oceanic atmospheric data.Simulation results indicate that the proposed scheme can accurately detect the abnormal data by fully exploiting the spatial data correlation.…”
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Operation mechanism for ensuring the stable migration of top-level domain name resolution hosting services with DNSSEC by Zheng HE, Feng LENG, Cuiling ZHANG

“…Based on the migration and deployment practice of the top-level domain resolution service hosting platform, in order to avoid the occurrence of domain name system security extension (DNSSEC, DNS security ex-tension) trust chain and resolution service interruption, domain name NS record inconsistency and other security issues in the DNSSEC environment, research and analysis was focused on how to migrate the resolution service between the old and new service hosting platform and the internet assigned numbers authority (IANA) without breaking the integrity of the DNSSEC trust chain during the key rollover, DS and NS record changes, data update and other stages.To improve the availability of domain name system services, the key points of the platform migration operation were analyzed in detail, and the migration mechanism that can ensure business continuity during the migration process were proposed.…”
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Analyzing the components and applications of wireless sensor network: a concise study by Lu Fan

“…The easy molding, fault tolerance, high sensing fidelity, low price, and rapid deployment features of sensor networks create various new and thrilling application areas for remote sensing. …”
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Adaptive multi‐agent smart academic advising framework by Abdelaziz A. Abdelhamid, Sultan R. Alotaibi

“…Here, the authors propose a framework of integrated environment based on multi‐agents to automate the full process of academic advising. …”
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Data Gathering in Opportunistic Wireless Sensor Networks by Yongxuan Lai, Ziyu Lin

“…On one hand, the nodes periodically sense the environment and continuously generate sensing data; on the other hand, the movements and sparse deployment of nodes usually lead to intermitted connected links and create some form of opportunistic communications. …”
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Le Dictionnaire numérique de la Ferme générale : de la modélisation à la mise en ligne by Valentin De Craene, Victoria Le Fourner

“…This case study presents the Dictionnaire numérique de la Ferme générale (1664-1794), a digital dictionary of the General Farm created in the course of FermeGé, which is a project accredited by the Agence nationale de la recherche in 2021, from its conceptual modelling to its Web deployment. While the dictionary initially appeared to the group of historians writing the entries to be a simple object with an organic structure, the need to make the data available in a Web environment proved to be an essential step in structuring the information. …”
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Hybrid electromagnetic and moisture energy harvesting enabled by ionic diode films by Zhenguo Gao, Cuiqin Fang, Yuanyuan Gao, Xin Yin, Siyuan Zhang, Jian Lu, Guanglei Wu, Hongjing Wu, Bingang Xu

“…However, current electronic systems relying on complex components limit their effective deployment in ambient environment and seamless integration of energy harvesting, storage, sensing, and communication. …”
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Scenario-adaptive wireless fall detection system based on few-shot learning by Yuting ZENG, Suzhi BI, Lili ZHENG, Xiaohui LIN, Hui WANG

“…A scenario robust fall detection system based on few-shot learning (FDFL) in wireless environment was designed.The performance of existing fall detection methods based on Wi-Fi channel state information (CSI) degrades significantly across scenarios, which requires collecting and marking a large number of CSI samples in each application scenario, resulting in high cost for large-scale deployment.Therefore, the method of few-shot learning was introduced, which can maintain the performance of fall detection with high accuracy when the number of annotated samples in unfa-miliar scenes is insufficient.The proposed FDFL was mainly divided into two stages, source domain meta-training and target domain meta-learning.The meta training stage of the source domain consists of two parts: data preprocessing and classification training.In the data preprocessing stage, the collected original CSI amplitude and phase data were denoised and segmented.In the classification training stage, a large number of processed source domain data samples were used to train a CSI feature extractor based on convolutional neural network.In the meta-learning stage of the target domain, the limited labeled data sampled in the target domain was effectively extracted based on the feature extractor trained in the meta-training module, and then a lightweight machine learning classifier was trained to detect the fall behavior under the cross-scene.Through several experiments in different scenarios, FDFL can achieve an average accuracy of 95.52% for the four classification tasks of falling, sitting, walking and sit down with only a small number of samples in the target domain, and maintain robust detection accuracy for changes in test environment, personnel target and equipment location.…”
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Enhanced STag Marker System: Materials and Methods for Flexible Robot Localisation by James R. Heselden, Dimitris Paparas, Robert L. Stevenson, Gautham P. Das

“…Fiducial localisation utilises relative positions of markers physically deployed across an environment to determine a localisation estimate for a robot. …”
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Joint optimization method of intelligent service arrangement and computing-networking resource allocation for MEC by Yun LI, Qian GAO, Zhixiu YAO, Shichao XIA, Jishen LIANG

“…To solve the problems of low efficiency of network service caching and computing-networking resource allocation caused by tasks differentiation, highly dynamic network environment, and decentralized computing-networking resource deployment in edge networks, a decentralized service arrangement and computing offloading model for mobile edge computing was investigated and established.Considering the multidimensional resource constraints, e.g., computing power, storage, and bandwidth, with the objective of minimizing task processing latency, the joint optimization of service caching and computing-networking resource allocation was abstracted as a partially observable Markov decision process.Considering the temporal dependency of service request and its coupling relationship with service caching, a long short-term memory network was introduced to capture time-related network state information.Then, based on recurrent multi-agent deep reinforcement learning, a distributed service arrangement and resource allocation algorithm was proposed to autonomously decide service caching and computing-networking resource allocation strategies.Simulation results demonstrate that significant performance improvements in terms of cache hit rate and task processing latency achieved by the proposed algorithm.…”
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Hierarchical Node Replication Attacks Detection in Wireless Sensor Networks by Wassim Znaidi, Marine Minier, Stéphane Ubéda

“…Because of open deployment in hostile environment and the use of low-cost materials, powerful adversaries could capture them to extract sensitive information (encryption keys, identities, addresses, etc.). …”
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Delay-Sensitive Multi-Sensor Routing Scheduling Method for Underground IoT in Mines by Yinghui Zhang, Mingli Liu, Aiping Tan

“…While Internet of Things (IoT) sensors help to monitor these conditions, large-scale deployment is limited by high power needs and complex tunnel layouts, making real-time response a critical challenge. …”
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Transformation of jealousy in romantic relationships and its catalysts in digital age by O. G. Shchukina

“…The specific characteristics of digital jealousy include its existence in conditions of quasi-reality, diffusiveness, deployment in time and space, alienation from the fact of physical infidelity, and virtual representation. …”
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Design and Verifi cation of Real-Time Simulation System for Protocol Design and Performance Evaluation of Large-Scale Satellite Network by Qixuan CAO, Yan SHI, Lianwei ZHOU, Xinwang DING

“…Aiming at the problems above, a real-time network simulation test system named SiT4NET was studied and developed.Firstly, SiT4NET used container technique to solved the problem of large-scale network node deployment with limited resources on the basis of ensuring nodes’ independence, thus improved the resource utilization of the simulation system.Secondly, the packet transmission between nodes based on data units and the mechanism for requesting/retrieving system-level data units were innovatively proposed to provided a strong foundation for real-time network simulation.And thirdly, through the standard high-level protocol interface, internal packet format and reconfi gurable mechanism of packet processing, SiT4NET reduced the complexity of conversion between the simulation implementation of the protocol and the target platform.Finally, by set up the same satellite network environment on SiT4NET and OPNET platforms, set up multiple groups of simulation scenarios, compared and analyzed the results, it showed that this method could met the performance requirements of large-scale satellite network.…”
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Making Dementia Matter Through Sound by Marjolein Gysels, Chris Tonelli, Thomas Johannsen

“…A third layer concerns the strategic use of improvisation, of which the deployment of “ensemble” and “instant composition” are analysed. …”
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A Data Fusion System for Simulation of Critical Scenarios and Decision-Making by Jimmy Anderson Flórez Zuluaga, Esteban Patiño Carrasco, Jose David Ortega Pabón, Kelly Gallego León, O. Lucía Quintero Montoya

“… The decision-making (DM) process in critical environments is a complex process that can be simulated due to current telematic capabilities, which allow the real time interaction of large amounts of data. …”
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A Study of an Anomaly Detection System for Small Hydropower Data considering Multivariate Time Series by Bo Yang, Zhongliang Lyu, Hua Wei

“…This paper can detect anomalous data more accurately, and the system is more stable and reliable in a cluster detection environment. The actual operation has shown that compared with existing anomaly detection systems, the architecture and algorithms proposed in this paper can detect anomalous data more accurately, and the system is more stable and reliable in the small hydropower cluster detection environment. …”
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Lightweight Design Strategy and Performance Optimization of Spaceborne Core Network by Xi CHEN, Yiqun Zhao, Minghan ZHANG, Shan LU, Shihao WANG, Chengchen ZHANG, Xiaofan XU, Ping DU

“…With the growth of global communication demand, the spaceborne core network can not only reduce frequent signaling interactions between satellites and the ground, but also break through the constraints of geographical regions, providing strong support for the integrated network architecture of heaven and earth and global communication operations.However, due to the resource limitations of satellites and the dynamic and time-varying topology of satellite internet on a large scale, the deployment of traditional core network elements in spaceborne environments has encountered significant challenges.This article is dedicated to studying the challenges of lightweight, flexible deployment, and low latency in onboard core networks, aiming to explore new design strategies for onboard lightweight core networks and provide a solid theoretical foundation for global communication operations.Multiple lightweight strategies, including minimum network element set deployment, single network element function tailoring, interface protocol lightweight, network element fusion and reconstruction, platform architecture lightweight, and transmission protocol reconstruction were firstly studied.Then, detailed simulation experiments were conducted on the selected strategies, and the experimental results confirmed that the lightweight processing of the spaceborne core network has superior performance in resource allocation and signaling process.…”
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