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Trust evaluation method for Wireless sensor Networks based on behavioral similarity and similarity coefficient 5

Trust evaluation method for Wireless Sensor Networks based o...

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5th ieee international conference on Networking and Advanced systems, ICNAS 2021

作者： Saidi, Ahmed Tahri Mohammed University of Bechar Faculty of Exact Science Department of Mathematics and Computer Science Bechar Algeria

ISBN: (纸本)9781665428217

Recently, the security of Wireless sensor Networks (WSNs) has been taken match attention because WSNs are extensively applied in many applications such as environment monitoring, military operations, critical infrastructure monitoring. Trust factor has been proved to be an efficient strategy that secure the network from compromised and misbehavior nodes. Several trust models have been proposed. However, the majority of them did not consider the uncertainty nature of trust. therefore, to overcome the uncertainty of trust, we suggest a new trust method using the behavioral similarity between sensor nodes. First, we break the behavior of sensor node into a set of behavioral patterns. Next, we use different threshold values to differentiate between trustworthy and untrustworthy patterns. Using bipartite graph, we represent the sensor nodes and their behavioral patterns as two groups of vertices. through vertex similarity, the trust value is measured in term of behavioral similarity between the sensor nodes. Finely, we evaluate our scheme using MATLAB as a simulation tool. the result indicates that our scheme achieves high detection rate of malicious nodes and protects the network against attacks. © 2021 ieee.

关键词： sensor nodes

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Switching Frequency Sensitivity Analysis of DC Microgrid Connected distributed Generation Based on Dynamic Phasor Model 21

Switching Frequency Sensitivity Analysis of DC Microgrid Con...

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21st ieee international conference on Environment and Electrical Engineering / 5th ieee Industrial and Commercial Power systems Europe (EEEIC/I and CPS Europe)

作者： Azad, Mrittika Mahmud, Md Rasel Pota, Hemanshu Hajee Mohammad Danesh Sci & Technol Univ Dept Elect & Elect Engn Dinajpur Bangladesh Univ New South Wales Sch Engn & Informat Technol Canberra ACT Australia

ISBN: (纸本)9781665436137

Y this paper presents a switching frequency sensitivity analysis of the dc microgrid connected dc-dc voltage source converters. A multi-frequency averaging based dynamic phasor model has been developed to analyses the switching frequency dependency of power electronic interfaces. the voltage source converter's dynamical model includes the transmission line current dynamic between the dc-dc voltage conversion interface and the common dc bus. the switching frequency dependency of the converter has been investigated under 1 and 10 kHz frequency in electromagnetic transient (Simulink), state-space averaging and multi-frequency averaging platform.

关键词： DC-DC Voltage Source Converter distributedGeneration Resource Multi-Frequency Averaging Dynamic Phasor Microgrid Switching Frequency Sensitivity Power electronic Interface

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DPLE: A Privacy-Enhanced and Straggler-Resilient distributed Learning Framework for Smart Cloud

DPLE: A Privacy-Enhanced and Straggler-Resilient Distributed...

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ieee international conference on Smart Cloud (SmartCloud)

作者： Yilei Xue Jianhua Li Jun Wu School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9798350389500

ISBN: (纸本)9798350389517

distributed machine learning (DML) encounters issues related to privacy and the presence of straggling nodes in smart cloud systems. Lagrange coded computing offers a partial solution to mitigate these concerns. Nonetheless, the privacy of the system becomes vulnerable when the number of semi-trusted nodes surpasses a specific limit, or when external eavesdroppers are present. To confront this hurdle, we introduce a novel framework for distributed learning called DPLE (Differentially Private Lagrange Encoding). this framework employs Lagrange interpolation polynomials to obscure the original data while introducing redundancy, thus improving privacy safeguards and increasing robustness to straggling nodes. It also incorporates artificial noise into local computation outcomes to protect confidential data from potential exposures. Furthermore, we perform theoretical analyses to identify the necessary variance of this noise to maintain desired privacy levels. Experimental validations confirm the efficacy of DPLE and examine how different settings of system parameters impact the accuracies of the results.

关键词： Wireless communication Training Privacy Interpolation Wireless sensor networks Data privacy Distance learning

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Optimized clustering with data privacy for wireless sensor network data transmission 5

Optimized clustering with data privacy for wireless sensor n...

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5th international conference on Intelligent computing and Control systems, ICICCS 2021

作者： Mohanty, Sipra Sahoo, Bhaswati School of Computer Engineering KIIT Deemed to Be University Bhubaneshwar Odisha India

ISBN: (纸本)9781665412728

the technological advancement in all fields like communication, medicine, industry, etc. demands high data transmission. Data transmission is carried via different wireless sensor networks (WSN). Wireless sensor networks are low-cost, low-energy, and small multifunctional sensors that are used for dense object tracking, environmental monitoring, and industrial control. In recent times, several researchers have been drawn to sensor networks due to their feasibility and efficiency to protect data during transmission. the wireless sensor network transmits the data which is collected by a device and sent to the base station and the user. the nodes are grouped as clusters and the data are aggregated and transmitted from the cluster to the base station. Such larger collections of homogeneous or heterogeneous sensors are networked, which needs an unattended operation in various applications. this forms a wireless sensor network with several sensor nodes with the capability y of communicating with other nodes or with other base stations. the original data should be sent without loss to attackers and the base station. the large collection of sensor nodes is capable of sensing larger regions with much higher accuracy. As the size of the sensor network increases, the area of coverage increases. To improve the capacity of sensor node batteries and to reduce the consumption of energy innetwork, the idea of Compressive Sensing (CS) is used in wireless sensor networks. the Compressive Sensing theory is combined with wireless sensor networks to reduce the total data transmitted. It reduces well the consumption of energy in wireless sensor networks, possibly increases the lifetime of the network. the proposed research work provides an optimized clustering technique using compressive sensing like Tree Cluster Data Gathering Compressive Sensing Algorithm (TCDGCSA) for the security of the data protection transmitted from the nodes in the cluster to the base station. © 2021 ieee.

关键词： Compressed sensing

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Design of Wireless Based Telemonitoring System with Biomedical sensor

Design of Wireless Based Telemonitoring System with Biomedic...

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ieee international conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON)

作者： A. O. Ogunsanya D. O. Daramola O. O. Ogunbiyi J. W. Sojobi Y. T. Oladijo S. T. Ajayi Department of Biomedical Engineering Bells University of Technology Ota Nigeria Department of Mechanical Engineering Bells University of Technology Ota Nigeria

ISBN: (数字)9798331542559

ISBN: (纸本)9798331542566

Patient surveillance is critical in-order to decrease and/or avoid the spread of the chronic conditions. Although effective, the traditional healthcare systems of patient monitoring are limited, making it difficult for ambulatory patient seek medical care and have their physiological parameters evaluated. Advent of wireless technology and advancements in on-body sensor design have enabled a shift in the traditional health-care system. thereby, allowing smart healthcare systems to take its place. this paper aims to describe the design and development of wireless based telemonitoring system with biomedical sensors for vulnerable individuals. Non-invasive biomedical sensors, signal condition system, Internet of things (IoT), radio frequency module (RF) was used to implement the design. the sensors were used to collect physiological parameters before transferring over the hybrid transmission medium. thing-Speak and graphic user interface (GUI) were used to display the results. the system design was successfully deployed, with efficient transmission of patient data with an average accuracy of 99.06%. the hybrid wireless monitoring system can give continuous physiological data as well as more detailed information about an individual's overall health. Hybrid wireless physiological parameter monitoring system has the potential of enhancing the quality of life of disease management individuals and lower healthcare expenditures.

关键词： Wireless communication Wireless sensor networks Surveillance Medical services Internet of things Biosensors Reliability Biomedical monitoring System analysis and design Graphical user interfaces

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distributed PV Cluster Partition Based on KNN-DPC Clustering Algorithm

Distributed PV Cluster Partition Based on KNN-DPC Clustering...

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Electrical Engineering and Control Technologies (CEECT), conference on

作者： Zhijian Wu Qi Pan You Zhou Bowen Wu Jingpeng Yu Chunyang Gong STATE GRID SUZHOU POWER SUPPLY COMPANY Suzhou China College of Electric Power Engineering Shanghai University of Electric Power Shanghai China

this paper addresses the issue of voltage violation caused by numerous distributed PV systems connected to distribution networks. Considering that the DPC algorithm is greatly influenced by subjective definition of the cutoff distance during its application, a K-nearest neighbor optimization DPC algorithm (KNN-DPC) is proposed. By utilizing the comprehensive sensitivity matrix to characterize electrical distances as inputs and accelerating the search for density peak points, the impact of cutoff distance can be avoided, and the precision of the cluster division can be efficiently enhanced. the ieee33 node and ieee69 node distribution system with distributed PV integration is used to verify the cluster division, and the modularity function is adopted as an evaluation index for the division results. the evaluation index for different K values is calculated, and the implementation effects of different algorithms are compared correspondingly, demonstrating the efficacy and superiority of the proposed approach.

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Toward Zero-Touch Provisioning in Smart Green Agriculture Driven by Mobile sensor Stations 39

Toward Zero-Touch Provisioning in Smart Green Agriculture Dr...

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39th international conference on Information Networking, ICOIN 2025

作者： Dang, Tri Nguyen Truong, Khanh Duy Ahsan Kazmi, S.M. Nguyen, Tuong Tri Hue University School of Engineering and Technology Hue Viet Nam Hue University Institute of Open Education and Information Technology Hue Viet Nam University of the West of England Department of Computer Science and Creative Technologies Bristol United Kingdom

ISBN: (纸本)9798331506940

Smart Green Agriculture (SGA) is currently under-going a substantial transformation facilitated by the integration of cutting-edge technologies, such as 5G, Artificial Intelligence (AI), and Internet of things (IoT) devices, including sensors and Unmanned Vehicle Area (UAV). this integration is revolutionizing agricultural practices, making them more sustainable and efficient. For instance, sensors gather crucial data like temperature, humidity, and wind levels, while UAVs capture images and videos of crop fields. these devices can seamlessly communicate via a 5 G model, reducing the need for extensive human intervention in SGA operations. We propose a system model that harmoniously coordinates and integrates various technologies in such a case. this includes leveraging UAV and its mobility to deploy a set of sensors for gathering sensing data. Our study illustrates the potential of orchestrated in integrated systems by cooperating among computing server, UAV, sensors and human. this approach is a promising solution for zero-touch system for the next generation of green agriculture. In such a case, our study demonstrates the significance of smart green agriculture driven by mobile sensors station as a viable solution for orchestration in agriculture. It also sets the stage for further advancements at the intersection of technology and sustainable farming practices, emphasizing the pivotal role of these innovations in shaping the future of agriculture. © 2025 ieee.

关键词： Edge computing

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Providing Flexibility in Distribution systems by Electric Vehicles and distributed Energy Resources in the Context of Technical Virtual Power Plants 21

Providing Flexibility in Distribution Systems by Electric Ve...

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21st ieee international conference on Environment and Electrical Engineering / 5th ieee Industrial and Commercial Power systems Europe (EEEIC/I and CPS Europe)

作者： Gough, Matthew Santos, Sergio F. Pereira, Pedro M. C. Home-Ortiz, Juan M. Castro, Rui Catalao, Joao P. S. FEUP Porto Portugal INESC TEC Porto Portugal Portucalense Univ Infante D Henrique Porto Portugal Sao Paulo State Univ Dept Elect Engn Ilha Solteira SP Brazil IST Lisbon Portugal

ISBN: (纸本)9781665436137

In the recent past structural changes in the operation and topology of the electrical system have occurred. these changes have coincided with the emergence of distributed energy resources (DERs). Relating to supply side technologies, distributed generation (DG) units have become increasingly common. the demand side has also seen the growth of new technological applications, including electric vehicles (EVs). these changes to the electrical system are being especially felt at the low voltage network level. Technical Virtual Power Plants (TVPPs) have been used to optimally schedule these DERs to increase the network flexibility and at the same time increasing the reliability and power quality of the network and this can bring economic benefits to both the TVPP operator and the customer. this paper develops a stochastic mixed-integer linear programming (MILP) optimization model to maximize the profit of a TVPP. the main objective of the TVPP is to increase operational flexibility of the low voltage network by aggregating DERs, including DG units, Heating Ventilation and Air Conditioning units, and EVs. the model is examined through the use of the ieee 119-Bus test system. Results demonstrate that the inclusion of DG units and EVs, the profit of the TVPP increases by approximately 45% and system flexibility is increased while respecting the technical constraints of the network and the thermal comfort of the consumers.

关键词： Flexibility Distribution System distributed Generation Electric Vehicles Technical Virtual Power Plant

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A Near-Field Super-Resolution thz sensor Utilizing Micro-Coaxial Processing

A Near-Field Super-Resolution THz Sensor Utilizing Micro-Coa...

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ieee international conference on Circuits and systems (ICCS)

作者： Hui-Rui Zhang Zhen-Yu Ding Bing Wu Guo-Qiang He School of Communication and Information Engineering Shanghai University Shanghai China Key Laboratory of Specialty Fiber Optics and Optical Access Networks and the Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai University Shanghai China

this paper presents a super-resolution near-field sensing probe designed by micro-coaxial. Utilizing waveguide micro-coaxial to confine terahertz (thz) waves within transmission lines and guide them to the tip of a probe, which can effectively enhance the dynamic range and reduce transmission losses in free space. It is designed for easy integration, with probe dimensions of $\mathbf{0.9}\ \mathbf{mm}\times \mathbf{0.9}\ \mathbf{mm}\times \mathbf{5.4}\ \mathbf{mm}$ . the sensor designed operates at 90 GHz realizing spatial resolution of $\mathbfth\ \boldsymbol{\mu} \mathbf{m}$ , about 1/165 of a wavelength. this sensor can achieve $\mathbf{100}\ \boldsymbol{\mu} \mathbf{m}$ response distance and 16 dB dynamic range, respectively. Micro-coaxial probes utilize copper as the metal conductor and air as the dielectric materials of transmission.

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Asynchronous Hierarchical Federated Learning: Enhancing Efficiency in distributed Learning systems 5

Asynchronous Hierarchical Federated Learning: Enhancing Effi...

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5th international conference on Computers and Artificial Intelligence Technology, CAIT 2024

作者： Katta, Krishnaveni University of Houston Cullen College of Engineering Houston United States

ISBN: (数字)9798331530891

ISBN: (纸本)9798331530907

Unified Learning has arisen as a promising world-view for decentralized AI, yet it faces difficulties, for example, high server traffic, slow combination, and variable precision. this paper presents Nonconcurrent Progressive United Learning (AsyncHierFed), a clever methodology intended to relieve these issues. By utilizing network geography and bunching calculations, AsyncHierFed coordinates client gadgets into groups, each over-saw by an assigned aggregator gadget. this progressive design diminishes correspondence load on the focal server while improving the speed of combination through nonconcurrent refreshes. AsyncHierFed distinguishes itself with its unique features, such as its dynamic client clustering based on real-time network conditions, computational capabilities, and data distributions. this adaptability ensures a balanced workload across devices, preventing bottlenecks that are common in traditional centralized learning systems. By evenly distributing communication and computational tasks, AsyncHierFed not only enhances resource efficiency but also addresses the issue of stragglers users with slower connections or less computational power that can delay overall convergence. © 2024 ieee.

关键词： Adaptive Client Clustering Asynchronous Hierarchical Federated Learning Communication Efficiency Data Heterogeneity Management Decentralized Machine Learning Dynamic Workload Balancing Edge AI Federated Learning Hierarchical Aggregation Network Topology Optimization Nonconcurrent Updates Real-Time Adaptation Resource Allocation Scalable AI systems Straggler Mitigation

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