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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

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Analysing the Design of a Solar Energy Harvesting Wireless sensor Node for Agricultural Applications 5

Analysing the Design of a Solar Energy Harvesting Wireless S...

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5th international conference on Artificial Intelligence, Big Data, computing and Data Communication systems (ICABCD)

作者： Thene, Malebo E. Mathaba, Tebello N. D. Vaal Univ Technol Dept Elect Engn Vanderbijlpark South Africa Univ Johannesburg Postgrad Sch Engn Management Johannesburg South Africa

ISBN: (数字)9781665484220

ISBN: (纸本)9781665484220

The advent of the Internet-of-Things (IoT) presents a solution to improving agricultural crop production, to achieve food security and meet the sustainable development goal to eliminate hunger. A literature review indicates that an energy efficient wireless sensor network (WSN) is a good solution for remote crop monitoring. One way of creating an energy efficient WSN is to ensure that the nodes themselves are energy efficient. This paper presents a preliminary analysis of an energy efficient sensor node, a key component in an IoT-based wireless sensor network solution for crop monitoring. A review of recent literature articles is used to analyze the energy usage of each of the components and the energy contribution of a solar harvesting sub-system. Our analysis, in a generic model that can be used to effectively design an energy efficient wireless sensor node.

关键词： Internet-of-things Agriculture energy-efficiency LoRa

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Mobility and Behavior based Trustable Routing in Mobile Wireless sensor Network 7

Mobility and Behavior based Trustable Routing in Mobile Wire...

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7th international conference on computing Methodologies and Communication, ICCMC 2023

作者： Praveen Kumar, B. Umamageswaran, J. Kalpana, A.V. Dhanalakshmi, R. Department of Computer Science and Engineering KL University Andhra Pradesh Vijayawada India Department of Information Technology RMK Engineering College Tamil Nadu Chennai India Department of Data Science and Business Systems SRM Institute of Science and Technology Tamil Nadu Chennai India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamil Nadu Chennai India

ISBN: (纸本)9781665464086

Mobile wireless sensor networks (MWSNs) allow the sensor nodes to move freely and transmit to each other without needing a fixed infrastructure. Usually, the routing process is very complex, and it becomes even more complicated as the sensor nodes are low-power, cost-effective mobile devices with minimum resources. MWSNs raises deployed in security-critical applications due to their resource-constrained features;they are prone to several security attacks that critically affect data transmission. The most significant innovation of trust is that it evades untrustable nodes by activating several detection routes to detect and obtain node trust, enhancing security quickly. Mobility and Behavior based Trustable Routing (MBTR) is proposed to solve these issues. This approach measures sensor node mobility based on the Received Signal Strength (RSS) between the two sensor nodes. The trust manager computes the node trust ability by the node behavior. Here, the node behavior is checked through the node energy, supportive account, and received packet account. The trust manager selects the security algorithm based on distance during data transmission. The simulation examination demonstrates lesser delay and lesser packet loss in the network. Furthermore, it improves the network throughput in the MWSN. © 2023 ieee.

关键词： sensor nodes

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Smart Transducers and Network Infrastructures for Industry 4.0

Smart Transducers and Network Infrastructures for Industry 4...

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ieee international conference on Research, Innovation and Vision for the Future

作者： Vincenzo Paciello Dep. of Industrial Engineering University of Salerno Fisciano Italy

ISBN: (数字)9798331505073

ISBN: (纸本)9798331505080

Smart transducers and network infrastructures are pillars of the IoT. Transducers play a fundamental role in providing measurements to monitoring and control chains in industry. Industry 4.0 specifications require that measurement information be always available for the application layer whatever be the source and the physical channel. ieee 1451 is a family of standards edited with the aim of introducing the plug and play approach in the field of distributed measurement systems and wireless sensor networks. At first, a brief summary of the ieee 1451 introduces fundamental concepts like Transducer Interface Data Sheet (TEDS), Network Capable Application Processor (NCAP) and Transducer Interface Module (TIM). Then, a sight to the ieee 21451.001 allows a novel approach to edge computing to be described. Finally, some examples of application of this new approach to typical digital signal processing problems are reported in the paper.

关键词： Wireless sensor networks Transducers Software algorithms Signal processing algorithms Edge AI Vectors Software Fourth Industrial Revolution Standards Intelligent sensors

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Routing Method in Wireless IoT sensor Networks 3

Routing Method in Wireless IoT Sensor Networks

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3rd ieee international conference on System Analysis and Intelligent computing, SAIC 2022

作者： Dudnik, Andriy Kravchenko, Yurii Trush, Oleksandr Leshchenko, Olga Dahno, Natalia Ryabokin, Yulia Taras Shevchenko National University of Kyiv Department of Network and Internet Technologies Kyiv Ukraine Interregional Academy of Personnel Management Department of Computer Information Systems and Technologies Kyiv Ukraine

ISBN: (数字)9798350396744

ISBN: (纸本)9798350396744

The protocol for routing transmitted data in networks with mixed types of switching is considered, which is typical for sensor networks that are part of the IoT technology. A description of the methods and approaches used to improve the efficiency of using network bandwidth is proposed, and the results of comparative modeling of the effectiveness of the proposed and existing protocols are presented. This circumstance determines the relevance, scientific novelty and practical significance of research devoted to the development of new models, algorithms and software packages that allow solving this problem and suggesting new effective methods for routing and transmitting data in sensor wireless networks integrated into IoT. © 2022 ieee.

关键词： Wireless sensor networks

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Flexible Topological Control for Underwater Optical Wireless sensor Networks

Flexible Topological Control for Underwater Optical Wireless...

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international conference on distributed computing systems

作者： Yang Chi Chi Lin Yu Tian Lei Wang School of Software Technology Dalian University of Technology Dalian China Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province Dalian China

Underwater Optical Wireless sensor Network (UOWSN) is a promising technology as it can achieve high-speed communication in underwater environment. However, affected by the uncertainty of complex underwater environment, the network topology of UOWSN is highly dynamic, making it difficult to quantify flexibility or further optimize the topological structure. In this paper, we propose a flexibility-based network topology evaluation model (FEM) for UOWSNs. Then, a reinforcement learning model, termed FEM-DRL, for optimizing the network topology based on FEM is developed, which enables UOWSN to maintain an optimal topology when working in harsh underwater environments. Simulation results demonstrate that the proposed method can significantly improve the network flexibility and reduces the time cost for constructing network topology by 41.8% compared with baseline algorithms. Test-bed experiments verify the applicability and effectiveness in practical applications for detecting emergent events.

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distributed Attacks Classification Based on Radical Basis Function and Particle Swarm Optimization In Hypervisor Layer 6

Distributed Attacks Classification Based on Radical Basis Fu...

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6th international conference on Information systems and Computer Networks, ISCON 2023

作者： Shukla, Aditya Kumar Sharma, Ashish GLA University Department of Computer Engineering and Applications UP Mathura India

ISBN: (纸本)9798350346961

The term 'cloud computing' refers to a concept for on-demand provisioning of computer resources (including hardware and software) through the Internet. Cloud computing's primary benefits lie in the time and money savings it may provide to IT departments. While cloud computing offers many benefits It also raises many safety considerations. These include data privacy, data availability, data placement, data security credential, license, access management, network security, web data protection, virtual devices protection, etc. Recently, machine learning has shown to be an effective tool for safeguarding the cloud. In order to automate the process of identifying cloud assaults with better accuracy than any other technology, machine learning algorithms are trained on numerous legitimate datasets to develop models. To mitigate the effects of DDoS invasions, our research suggests implementing a detection method at the hypervisor layer. As a means of detecting and categorizing DDoS attacks in the communication between virtual computers, the suggested detection method combines the particle swarm optimization (PSO) with radial basis function (RBF). High classification accuracy against DDoS attacks is the focus of our investigation and recommended method.. © 2023 ieee.

关键词： Data privacy

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IoT Assisted Fisherman Aid to Detect Borders and Alert System by using Intelligent GPS Technology

IoT Assisted Fisherman Aid to Detect Borders and Alert Syste...

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2023 international conference on Innovative computing, Intelligent Communication and Smart Electrical systems, ICSES 2023

作者： Ramesh, A.P. Nithya Paranthaman, R. Porkodi, M. Aruna, V. Rohini, S. Sri Ramakrishna College of Arts and Science Department of ECS Coimbatore India SRM Institute of Science and Technology School of Computing College of Engineering & Technology Department of Networking and Communication Chennai India Sona College of Technology Department of EEE Salem India Panimalar Engineering College Department of ECE Chennai India R.M.K. Engineering College Department of Computer Science Chennai India

ISBN: (纸本)9798350319200

The safety of fisherman will be improved with the use of technology such as the Global Positioning System (GPS) and Wireless sensor Networks (WSN), which will be employed in this project. The GPS may be used to track exactly where the boat is at any given time. In the event that the fisherman ventures outside of the permitted region, the alarm will sound. The user or owner of the vessel is able to monitor the location of the vessel in reference to known dimensions (latitude and longitude) by making use of the vessel's own electrical equipment and software that has been specifically created for this purpose. If a person has a GPS receiver, they will be able to pinpoint their exact location on a digital map. The relay circuit on the boat will give it the ability to turn around. Technology based on wireless sensor networks might be used to transmit communication between the fisherman and the Internet of Things device. The fishermen are alerted when they get close to the first two borders by a loudspeaker (which acts as a siren) and an indicator that has an LCD. In the event that the warning system is unsuccessful, there is a backup option. The boat's engine will automatically turn off when it gets closer to the third border as it travels. Now, both the government of India and the government of Sri Lanka would have access to identical data on the fishermen. © 2023 ieee.

关键词： Alert System Fisherman Border Detection Intelligent GPS Technology Internet of Things IoT Wireless sensor Network WSN

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Proceedings of the 2022 ieee international conference on Dependable, Autonomic and Secure computing, international conference on Pervasive Intelligence and computing, international conference on Cloud and Big Data computing, international conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022

Proceedings of the 2022 IEEE International Conference on Dep...

引用

20th ieee international conference on Dependable, Autonomic and Secure computing, 20th ieee international conference on Pervasive Intelligence and computing, 7th ieee international conference on Cloud and Big Data computing, 2022 ieee international conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022

ISBN: (纸本)9781665462976

The proceedings contain 185 papers. The topics discussed include: wearable IMU based gait quality quantitative evaluation method;quantum computing approach for energy optimization in a prosumer community;raising citizens and institutions awareness of environmental problems using smart sensing technologies;event detection in financial markets;design-space exploration of quantized transposed convolutional neural networks for FPGA-based systems-on-chip;seamless sensor data acquisition for the edge-to-cloud continuum;occupancy prediction in buildings: an approach leveraging LSTM and federated learning;lightweight model by iterative momentum pruning scheme for channel reduction;a deep reinforcement learning based approach for intelligent reconfigurable surface elements selection;exploiting mobility data to forecast Covid-19 spread;machine learning methods for microwave imaging in cancer detection;and physical activity recognition using deep transfer learning with convolutional neural networks.

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Optimizing Irregular-Shaped Matrix-Matrix Multiplication on Multi-Core DSPs

Optimizing Irregular-Shaped Matrix-Matrix Multiplication on ...

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ieee international conference on Cluster computing (CLUSTER)

作者： Yin, Shangfei Wang, Qinglin Hao, Ruochen Zhou, Tianyang Mei, Songzhu Liu, Jie Natl Univ Def Technol Sci & Technol Parallel & Distributed Proc Lab Changsha 410073 Peoples R China Natl Univ Def Technol Coll Comp Changsha 410073 Peoples R China

ISBN: (数字)9781665498562

ISBN: (纸本)9781665498562

General Matrix Multiplication (GEMM) has a wide range of applications in scientific simulation and artificial intelligence. Although traditional libraries can achieve high performance on large regular-shaped GEMMs, they often behave not well on irregular-shaped GEMMs, which are often found in new algorithms and applications of high-performance computing (HPC). Due to energy efficiency constraints, low-power multicore digital signal processors (DSPs) have become an alternative architecture in HPC systems. Targeting multi-core DSPs in FT-m7032, a prototype CPU-DSPs heterogeneous processor for HPC, an efficient implementation - ftIMM - for three types of irregular-shaped GEMMs is proposed. FtIMM supports automatic generation of assembly micro-kernels, two parallelization strategies, and auto-tuning of block sizes and parallelization strategies. The experiments show that ftIMM can get better performance than the traditional GEMM implementations on multi-core DSPs in FT-m7032, yielding on up to 7.2x performance improvement, when performing on irregular-shaped GEMMs. And ftIMM on multi-core DSPs can also far outperform the open source library on multi-core CPUs in FT-m7032, delivering up to 3.1x higher efficiency.

关键词： Matrix-matrix multiplication Irregular-shaped matrix DSPs Performance optimization

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CSS: Built-In Channel State Scrambling for Secure Wi-Fi Based Sensing

CSS: Built-In Channel State Scrambling for Secure Wi-Fi Base...

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international conference on distributed computing systems

作者： Xiao Deng Dongyu Xia Xun Wang Shuyu Shi Wei Wang State Key Laboratory for Novel Software Technology Nanjing University Nanjing China

ISBN: (数字)9798350386059

ISBN: (纸本)9798350386066

This paper proposes CSS, a built-in channel state scrambling scheme to provide always-on protection for channel state information. CSS uses randomly generated scrambling vectors to emulate human activities, preventing eavesdroppers from recovering human physical activity from the channel state. By carefully designing the scrambling scheme based on physical channel models, we ensure that legacy receivers can successfully decode the frames and all frames transmitted over the air are scrambled. Furthermore, legitimate Wi-Fi sensors can still recover the true activity with a pre-shared secret key. Implementation on a real communication system shows that CSS can retain the same frame-error rate for commercial wireless receivers while misleading eavesdroppers with a success rate of over 95%.

关键词： Wireless communication Wireless sensor networks Receivers Vectors sensor systems OFDM modulation sensors

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