An estimated Hungarian method for data forwarding problem in underwater wireless sensor networks by Jing Wen, Dongwei Li, Linfeng Liu, Jiabin Yuan

“…With the increasing concern over marine applications in recent years, the technology of underwater wireless sensor networks has received considerable attention. …”
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Research on intrusion detection algorithm in wireless network based on Bayes game model by CHEN Hang1, TAO Jun1

Subjects: “…wireless network…”
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Uplink scheduling scheme for cloud service based on software-defined wireless network by Su PAN, Bang XIAO, Yu-qing CHEN, Sheng-mei LIU

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A Dual-Cycle Architecture in Cognitive M2M Wireless Networks by Ying Li, Xu Dong, Lifeng Wang, Xiaobo Guo, Lin Bai

“…Dual-cycle cognitive model (DCCM) is an effective means to develop the future large-scale cognitive wireless networks. In this paper, the DCCM is considered to construct cognitive wireless netwroks, in which the structure and implementation of service-oriented radio architecture (SORA) are expounded. …”
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Integration and Analysis of Neighbor Discovery and Link Quality Estimation in Wireless Sensor Networks by Marjan Radi, Behnam Dezfouli, Kamalrulnizam Abu Bakar, Shukor Abd Razak

“…Network connectivity and link quality information are the fundamental requirements of wireless sensor network protocols to perform their desired functionality. …”
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Energy-Efficient Self-Organized Clustering with Splitting and Merging for Wireless Sensor Networks by Kyuhong Lee, Heesang Lee

“…Energy efficiency is one of the most important issues for WSNs, because the battery of each wireless sensor node cannot be recharged or replaced. …”
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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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Exploring the LEACH routing protocol in wireless sensor networks: a brief analysis by Rita de Fátima Muniz

Subjects: “…wireless sensor networks…”
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Block Least Mean Squares Algorithm over Distributed Wireless Sensor Network by T. Panigrahi, P. M. Pradhan, G. Panda, B. Mulgrew

“…Both these conventional distributed algorithms involve significant communication overheads and, consequently, defeat the basic purpose of wireless sensor networks. In the present paper, we therefore propose two new distributed algorithms, namely, block diffusion least mean square (BDLMS) and block incremental least mean square (BILMS) by extending the concept of block adaptive filtering techniques to the distributed adaptation scenario. …”
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Geographical information based false report filtering scheme in wireless sensor networks by Zhi-xiong LIU, Jian-xin WANG

Subjects: “…wireless sensor network…”
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Sequential Uniformly Reweighted Sum-Product Algorithm for Cooperative Localization in Wireless Networks by Wei Li, Zhen Yang, Haifeng Hu

“…Graphical models have been widely applied in solving distributed inference problems in wireless networks. In this paper, we formulate the cooperative localization problem in a mobile network as an inference problem on a factor graph. …”
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Self-organization networking technology for 5G ultra-dense wireless network by Jiandong LI, Min SHENG, Junyu LIU, Chenxi ZHAO, Yan ZHANG, Hongguang SUN

Subjects: “…ultra-dense wireless network…”
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Physical layer security of NOMA-D2D cooperative wireless system by Yifan DING, Guangqiu LI, Hui LI

“…Aiming at the physical layer security (PLS) application requirement of massive user equipments access in the future, the PLS model combining with non-orthogonal multiple access (NOMA), device-to-device (D2D) and relay cooperation was proposed.The model was composed of base station with transmit antenna selection (TAS), NOMA far cellular user of base station and D2D transmitter, D2D receiver and passive eavesdropper, the D2D transmitter was also assumed two roles of NOMA near user of base station and decode-and-forward relay.The approximate expressions for the secrecy outage probability, non-zero secrecy capacity probability and asymptotic secrecy outage probability of NOMA-D2D cooperative wireless system under two TAS schemes were derived by using Gaussian-Chebyshev Quadrature theorem.Numerical and simulation results verify the accuracy of PLS performance analysis of NOMA-D2D cooperative wireless system.The results also show that increasing the power allocated to far cellular user under constant total power of base station can effectively improve PLS performance of NOMA-D2D cooperative wireless system.…”
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Wireless Network Virtualization Resource Sharing considering Dynamic Resource Allocation Algorithm by Xueming Guan, Yaozhi Ma

“…In order to improve the efficiency of wireless network virtualization resource processing, this paper combines the dynamic resource allocation algorithm to construct a wireless network virtualization resource sharing model. …”
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Broadband Loop Antenna on Soft Contact Lens for Wireless Ocular Physiological Monitoring by Ssu-Han Ting, Bo-Ming Jeng, Wen-Shan Chen, Jin-Chern Chiou, Ching-Hsing Luo

“…This paper presents a novel loop antenna with broadband for wireless ocular physiological monitoring (WOPM). The antenna is fabricated on a thin-film poly-para-xylylene C (parylene C) substrate with a small thickness of 11 μm and dimension of π×6.5×6.5 mm2. …”
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Performance Evaluation of Page Migration Scheme for NVRAM-Based Wireless Sensor Nodes by Yeonseung Ryu

“…A wireless sensor network consists of low-powered and multifunctional sensor nodes. …”
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A Game Theoretic Model for Wireless Sensor Networks with Hidden-Action Attacks by Yuxin Mao, Ping Zhu, Guiyi Wei

“…The unattended nature of wireless sensor networks makes them very vulnerable to an adversary's malicious attack. …”
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Security and Vulnerability of SCADA Systems over IP-Based Wireless Sensor Networks by HyungJun Kim

“…We also discuss various forms of threats and vulnerabilities on future SCADA systems applied with IPv6 over low-power, wireless personal area networks (6LoWPANs) and suggest security management methods to overcome these concerns. …”
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A Clustering Protocol for Wireless Sensor Networks Based on Energy Potential Field by Zuo Chen, Yao Xiao, Xiaodong Li, Renfa Li

“…It is the core issue of researching that how to prolong the lifetime of wireless sensor network. The purpose of this paper is to illustrate a clustering protocol LEACH-PF, which is a multihop routing algorithm with energy potential field of divided clusters. …”
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An efficient cryptographic technique using modified Diffie–Hellman in wireless sensor networks by Shahwar Ali, A Humaria, M Sher Ramzan, Imran Khan, Syed M Saqlain, Anwar Ghani, J Zakia, Bander A Alzahrani

“…In wireless sensor networks, the sensors transfer data through radio signals to a remote base station. …”
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