Minimum connected dominating set algorithm based on directed diffusion by LI Ke-qing, CHANG Jin-yi, WANG Jia-nian

Subjects: “…wireless sensor networks…”
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TDOA-based WSN localization with hybrid covariance matrix adaptive evolutionary strategy and gradient descent distance techniques by V.G. Saranya, S. Karthik

Subjects: “…Wireless sensor networks…”
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Emotion Estimation Using Noncontact Environmental Sensing with Machine and Deep Learning Models by Tsumugi Isogami, Nobuyoshi Komuro

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Leakage Detection in Water Pipes: An Approach of Smart Water by Dmitriy Vladislav

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Optimal WSN Deployment to Measure Air Quality in Dynamic Multi-Source Dispersion Scenarios: A Case Study in Arequipa by Alexander Hilario-Tacuri, Alberth Tamo, Marco Pinares-Mamani, Walter Butron, Romel Jimenez

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ONSA:optimal non-uniformly statistic-source anonymity protocol in WSN by Xiao-guang NIU, Chuan-bo WEI, Wei-jiang FENG, Guo-jun PENG, Huan-guo ZHANG

Subjects: “…wireless sensor networks…”
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Bursty-link-aware adaptive link quality estimation method by Ting-pei HUANG, Dong LI, Zhao-liang ZHANG, Li CUI

Subjects: “…wireless sensor networks…”
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Data aggregation scheduling algorithm based on twice maximum independent set by Jian XU, Geng YANG, Zheng-yu CHEN, Hai-yong WANG, Zhen YANG

Subjects: “…wireless sensor networks…”
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Ambient Backscatter- and Simultaneous Wireless Information and Power Transfer-Enabled Switch for Indoor Internet of Things Systems by Vishalya P. Sooriarachchi, Tharindu D. Ponnimbaduge Perera, Dushantha Nalin K. Jayakody

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RelicNet: highly reliable wireless sensor system for microclimate monitoring in wildland cultural heritage sites by XIA Ming1, DONG Ya-bo1, LU Dong-ming1, XUE Ping2

Subjects: “…wireless sensor networks…”
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Ultrahigh-Performance Radio Frequency System-on-Chip Implementation of a Kalman Filter-Based High-Precision Time and Frequency Synchronization for Networked Integrated Sensing and... by Roghayeh Ghasemi, Patrick Fenske, Tobias Koegel, Markus Hehn, Ingrid Ullmann, Martin Vossiek

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Analysis and Improvement of a Robust User Authentication Framework for Ubiquitous Sensor Networks by Ling Chi, Liang Hu, Hongtu Li, Jianfeng Chu

“…The security system is one of standards for measuring whether a wireless sensor networks is an outstanding wireless sensor network. …”
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A Novel SLM Scheme for PAPR Reduction in OFDM Systems by Tian-Ming Ma, Yu-Song Shi, Ying-Guan Wang

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Percolation analysis for constructing a robust modular topology based on a binary-dynamics model by Shinya Toyonaga, Daichi Kominami, Masayuki Murata

“…In the context of Internet of Things, virtualization of wireless sensor networks is a crucial technology for sharing sensors as infrastructure. …”
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Study of international standard ISO/IEC 30144: 2020 applied in intelligent substation auxiliary monitoring by Mingjuan WU, Shuyi CHEN, Haitao LIU

“…Internet of things and wireless sensor network technology has been gradually applied in substation monitoring, as one of the important means of substation automation.The international standard ISO/IEC 30144: 2020 put forward the system architecture, communication architecture and system requirements for wireless sensor network supporting substation.In order to promote the standardized IoT-based smart substation application, taking the standard as a reference, the background and main contents of the international standard were expound, and examples of sensor node types, network communication interfaces and sensor network monitoring platform supporting the substation in the smart substation were given, so as to provide an instantiation method for the application and implementation of the international standard, which is conducive to the realization of standardized, refined and unmanned substation supervision.…”
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Dynamic spectrum allocation for cognitive radio sensor networks based on improved genetic algorithm by Chang CAI, Yafang WANG, Bingmei MIAO, Hui JIANG

“…ISM (industrial scientific and medical) bands where wireless sensor network works faced with the shortage of spectrum resources problems.Aimed at this case,dynamic spectrum allocation in cognitive radio technology was applied in wireless sensor network.A dynamic frequency spectrum allocation scheme was proposed.The algorithm was a modified adaptive genetic algorithm which was based on graph coloring model.In addition,the objective functions of the algorithm were maximum bandwidth gains and minimum spectrum handoff,besides,in the crossover and mutation process,adaptive crossover probability and mutation probability was used instead of the fixed.Experimental results confirm that compared with the traditional genetic algorithm and color sensitive graph coloring algorithm,the proposed algorithm can achieve the expected goal of improving the spectral efficiency and reducing energy consumption.…”
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Single anchor node real-time positioning algorithm based on the antenna array by Yong Fu

“…This study is expected to provide technical references for the method research of wireless sensor network real-time positioning and new positioning system in practical applications.…”
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A Missing Sensor Data Estimation Algorithm Based on Temporal and Spatial Correlation by Zhipeng Gao, Weijing Cheng, Xuesong Qiu, Luoming Meng

“…In wireless sensor network, data loss is inevitable due to its inherent characteristics. …”
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A Particle Swarm Optimization Algorithm for Deployment of Sensor Nodes in WSN Network by Jie Liang, Lu Wang, Qingchang Ji

“…In order to solve the problems of security hidden dangers in the process of node location due to the characteristics of limited resources, open deployment, and being unattended in wireless sensor networks, this paper proposes a mainstream location algorithm combined with the current WSN node. …”
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Application sensors in smart cities deployment by Victoria Nozick

“…In this place division, we will present the freedom attacks and challenges confronted engaged of SDN and IoT and again the impromptu design for IoT in the foundation of SDN. Wireless Sensor Network, WSN, efficient system for forest fire detection, efficient detection method for forest fire systems, Wireless Sensor Network for Forest Fire Detection and Decision Making.…”
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