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检索条件"任意字段=6th IEEE International Conference on Distributed Computing in Sensor Systems"

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Energy-Efficient Routing using the Hybrid Bilevel-Litechenbery-Optimization Algorithm in Comparison with Ant-colony Optimization 6

Energy-Efficient Routing using the Hybrid Bilevel-Litechenbe...

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6th international conference on Devices, Circuits and systems, ICDCS 2022

作者： Kannappan, A. Bommi, R.M. Institute of Ece Saveetha School of Engineering Chennai India

ISBN: (纸本)9781665480949

In this paper, we will examine how to increase the energy efficiency of routing methods for underwater wireless sensor networks in this study. Water resources capture a vast amount of data that can subsequently be used to protect human life and marine life. Underwater wireless sensor networks are designed with a base station near the seashore, sink nodes that function as receiver nodes, and source nodes that serve as anchor nodes. Anchor collects data transmitted to sink nodes in between occurrences of delay, frequency band, time consumption, and routing communication methods are reduced is a most important one. If the energy absorption of sensor nodes is not reduced means that the battery easily discharges here underwater wireless sensor network battery replacement is difficult. We are going to concentrate on energy-saving techniques. Some energy-saving protocols are available, but they only compare two techniques: the Bilevel-Litechenbery algorithm and the ant-colony algorithm on common parameters including throughput, energy consumption, and packet delivery ratio. Each algorithm does have some advantages and drawbacks. Which one is more valid and reliable, durability algorithms are favored for these networks analysis using Ns2 Aquasim Software. © 2022 ieee.

关键词： Wireless sensor networks Energy consumption Software algorithms Routing throughput Energy efficiency Software

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sensor Automation for Industrial Applications and Prediction of Energy Level for Home Appliances Using Machine Learning Algorithm 9

Sensor Automation for Industrial Applications and Prediction...

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9th international conference on Advanced computing and Communication systems, ICACCS 2023

作者： Duraisamy, Premkumar Natarajan, Yuvaraj Selvakumari Jeya, I Jasmine Niranjani, V. KPR Institute of Engineering and Technology Department of Computer Science and Engineering Coimbatore India Hindusthan College of Engineering and Technology Department of Information Technology Coimbatore India Sri Eshwar College of Engineering Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350397376

In recent years wireless sensor networks have helped with automation in many industry domains. Wireless technology cuts cable costs, deployment time and information to transfer and process from source to destination. To make good intelligent and highly automated systems, sensors are crucial. they make it possible to detect, analyze, measure, and process a variety of alterations that occur in industrial equipment's location, length, height, appearance, displacement, etc. this paper described the industrial standardization of different WSN protocols like Zig-Bee, Wireless HART, UWB, IETF 6LowPAN, ISA100, Bluetooth and Wi-Fi. the work represented a few applications of WSNs in industry and its implementation challenges like safety, security, and availability. the work collected the energy consumption data of different home appliances. We applied the LightGBM machine learning algorithm to find a better energy consumption and prediction result. © 2023 ieee.

关键词： Energy utilization

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Integrating RC6 Stream Cipher to A Chaotic Synchronization System 8

Integrating RC6 Stream Cipher to A Chaotic Synchronization S...

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8th ieee international conference on Smart Cloud, SmartCloud 2023

作者： Hsiao, Feng-Hsiag Chiu, Po-Wei Chang, Shou-Wen Dept. of Electrical Engineering National University of Tainan Tainan Taiwan

ISBN: (纸本)9798350313505

this study proposes a new fuzzy control method based on Improved Genetic Algorithm (IGA) that employs the Parallel distributed Compensation technology to achieve the exponential synchronization of two chaotic systems with multiple time delays. In addition, combining the chaotic synchronization and cryptography concepts will result in a more secured communication system. To ensure the exponential stability of the error system, the initial message (plaintext) is first encrypted using the Rivest cipher 6 (RC6) algorithm and the key, and the encrypted message (ciphertext) re-encrypted through chaotic synchronization, and exponential stability related to time delay is derived by using the Lyapunov function criterion. Afterward, the exponential stability criterion transformed into linear matrix inequality (LMI). A set of fuzzy controller parameters obtained by using the LMI Toolbox of the numerical simulation software M A T L A B. this parameter by the IGA primitive populations to evolve. Given IGA's ability to randomly search for the best solution in the entire domain, it possible to find a better fuzzy controller feedback gain to accelerate the error system's convergence, allowing the master and slave systems to achieve synchronization quickly. ©2023 ieee.

关键词： Genetic algorithms

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BTDFS: B+ Tree-Based distributed File Storing Mechanism for Improving Small File Storage 24

BTDFS: B+ Tree-Based Distributed File Storing Mechanism for ...

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24th ieee international conference on High Performance computing and Communications, 8th ieee international conference on Data Science and systems, 20th ieee international conference on Smart City and 8th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Zhang, Jingyu Tian, Jiachen Luo, Lailong School of Computer and Communication Engineering Changsha University of Science and Technology Changsha China School of Systems Engineering National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory Changsha China

ISBN: (纸本)9798350319934

Hadoop is currently the most popular big data processing architecture, which provides a processing framework for managing and analyzing massive data. Hadoop distributed File System (HDFS) is the core component for storing data in the Hadoop systems. It performs well when storing and managing large-sized files. However, it shows extremely bad performance when dealing with a large number of small files, which is reflected in the consumption of a large amount of memory space of the NameNode node and the low efficiency of accessing small files. Archive file is proposed to solve this problem. It combines small files into larger merged files for storage, and uses index files to record the relevant information of small files in the merged files. However, archive files (e.g., Hadoop Archive, MapFile) all require additional processing and multiple I/O operations to obtain index information before actually accessing the file content, which reduces the efficiency of file access. this paper proposes a novel distributed file storing mechanism called B+ Tree-Based distributed File Storing mechanism (BTDFS), which combines a large number of small files into a merged file, records the index information of the small files in the merged file, and organizes the index information into a B+ tree for storage. Using BTDFS, while reducing the metadata consumption of the NameNode node, improves the access performance of a single small file with additional abilities, which provides convenience for analyzing a large number of small files. Finally, this paper designs corresponding experiments for the proposed BTDFS, and tests and analyzes the memory usage in N ameN ode and the access performance of small files. the experimental results show that the proposed BTDFS can effectively reduce the memory usage of the NameNode, and the efficiency of accessing small files is improved compared with state-of-the-art methods. © 2022 ieee.

关键词： Digital storage

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A Robust Latent Factor Analysis Model for Incomplete Data Recovery in Wireless sensor Networks 6

A Robust Latent Factor Analysis Model for Incomplete Data Re...

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6th ieee international conference on Edge computing and Communications (ieee EDGE)

作者： Yu, Zhikai Wu, Di He, Yi Chongqing Univ Posts & Telecommunicat Sch Comp Sci & Technol Chongqing 400065 Peoples R China Chinese Acad Sci Chongqing Inst Green & Intelligent Technol Chongqing 400714 Peoples R China Old Dominion Univ Dept Comp Sci Norfolk VA 23529 USA

ISBN: (数字)9781665481403

ISBN: (纸本)9781665481403

Wireless sensor network (WSN) is an emerging and promising development direction in recent years. Due to the sudden breakdown of the sensor nodes or saving energy by deliberately shutting down partial sensors, there are always massive missing entries in the collected sensing data from WSNs. Low-rank matrix approximation (LRMA) is a typical and effective approach to achieving data recovery for WSNs. However, existing LRMA-based approaches ignore the adverse effects of noises inevitably mixed with collected data, which may dramatically degrade their recovery accuracy. In this paper, we aim at recovering missing data based on partially observed data mixed with noises in WSNs. To this end, we propose a latent factor analysis (LFA) based spatio-temporal signal recovery (STSR) model, named LFA-STSR. Its main idea is to incorporate the spatio-temporal correlation into a robust LFA model as the regularization constraint, making it possess the merits of both high accuracy and robustness during data recovery. To evaluate the proposed LFA-STSR model, we conduct extensive experiments on two real-world WSNs datasets. the results demonstrate that LFA-STSR has significantly higher recovery accuracy than the related state-of-the-art models.

关键词： Wireless sensor networks latent factor analysis spatio-temporal correlation low-rank matrix approximation

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Specification and Verification of Communication Paradigms for CBSE in Event B 27

Specification and Verification of Communication Paradigms fo...

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27th international conference on Engineering of Complex Computer systems, ICECCS 2023

作者： thierry, Loic Jaskolka, Jason Hamid, Brahim Bodeveix, Jean-Paul Irit Université de Toulouse CNRS UT2 Toulouse31062 Cedex 9 France Carleton University Systems and Computer Engineering OttawaONK1S 5B6 Canada

ISBN: (纸本)9798350340044

the development of distributed computing systems and of their usage in domains such as the Internet of things, Big Data, etc., raises numerous questions on the tools available to model the complexity of such systems. Non-formal modeling methods fail to create a rigorous way to describe and analyze these systems. In this paper, we propose an approach to model and analyze the structural and behavioural aspect of these systems using formal techniques. As a prerequisite, we build reusable model libraries to specify and verify communication paradigms for modeling software architectures of distributed systems in a component-based system engineering (CBSE) context. First, we describe high-level concepts for system architecture in a component-port-connector fashion as a metamodel. then, we develop an Event-B interpretation of the metamodel adding communication characteristics such as buffering, FIFO and synchronicity. To validate our work, we studied the two well-known communication paradigms, namely message passing and remote procedure call. © 2023 ieee.

关键词： Message passing

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Enabling Intelligence Inclusiveness in Edge to Cloud Continuum: Challenges and Opportunities 9

Enabling Intelligence Inclusiveness in Edge to Cloud Continu...

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9th ieee international conference on Network Softwarization (ieee NetSoft) - Boosting Future Networks through Advanced Softwarization

作者： Palomares, Javier Coronado, Estefania Cervello-Pastor, Cristina Siddiqui, Shuaib I2CAT Fdn Barcelona Spain Univ Castilla La Mancha High Performance Networks & Architectures Albacete Spain Univ Politecn Cataluna Dept Network Engn Barcelona Spain

ISBN: (纸本)9798350399806

Edge to Cloud Continuum is a concept that integrates cloud computing and cellular networks that has been gaining popularity due to its potential to provide a seamless user experience and address the challenges of managing complex multi-domain networks involving massive IoT devices. Enabling intelligence in the Edge to Cloud Continuum can further enhance its capabilities, offering benefits such as reduced latency, improved scalability, enhanced resource utilization, and increased context awareness. this paper provides insights into the opportunities and challenges of enabling intelligence in Edge to Cloud Continuum, highlighting the potential of this technology. this study presents a comprehensive review of the existing literature on enabling intelligence in Edge to Cloud Continuum, to reach the research questions that will construct the PhD. Various tools and technologies that can be used to integrate intelligence into the Edge to Cloud Continuum system were explored and analyzed. In addition, this study provides a detailed work plan for the upcoming months of the project.

关键词： Edge to Cloud Continuum Multi-domain Enabling Intelligence distributed systems 6G

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Design of Piezoelectric Heart Rate Monitoring sensor for Wearable Applications 6

Design of Piezoelectric Heart Rate Monitoring Sensor for Wea...

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6th international conference on Trends in Electronics and Informatics, ICOEI 2022

作者： Athira, S. Ardra, S. Unnikrishnan, Anupama Pradeep, Adithya Rajeev, Sreenidhi Prabha Baby Sreeja, D.S. Amrita Vishwa Vidyapeetham Department of Electronics and Communication Engineering Amritapuri India

ISBN: (纸本)9781665483285

Having a good heart rate is important for a long lasting life and it is very important to monitor the heart rate of a person systematically. During this covid pandemic, it is highly necessary to monitor the pulse of a patient who is affected with covid. In order to keep track of the heart rate it is difficult to visit the hospital every time. Also, the available methods causes discomfort to the patients and these methods are very costly for a normal person. Piezoelectric pressure sensors are replacements for such highly expensive diagnosis systems. these sensors are easily accessible, have low cost and has high robustness. Since they give rapid responses to the input, it is widely used for medical, industrial and aerospace applications. this paper aims in designing and simulating a model of piezoelectric pressure sensor in COMSOL Multi physics platform satisfying the patients need of comfort and the figure of merits of pressure sensor. © 2022 ieee.

关键词： Heart

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Data Sharing Enabled through Internet of things (IoT) in Wireless Communication Networks 6

Data Sharing Enabled Through Internet of Things (IoT) in Wir...

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6th international conference on Contemporary computing and Informatics, IC3I 2023

作者： Shukla, Aasheesh Pundir, Sumit Rao, A Kakoli Shalini, N. Akhil Kumar, Rohit Rana, Ajay GLA University Computer Engineering and Applications Mathura India Graphic Era University Department of Computer Science & Engineering Dehradun India Lloyd Institute of Engineering and Technology Greater Noida India Institute of Aeronautical Engineering Department of Computer Science and Engineering Hyderabad India Lloyd Law College Greater Noida India Lloyd Institute of Management and Technology Greater Noida India Amity University Uttar Pradesh Greater Noida India

ISBN: (纸本)9798350304480

A variety of difficulties while attempting to transmit a file including multimedia data through the many peers of a wireless IoT network. the system's centralization, which increases the risk of a security breach and makes it harder for users to access their information, is one of the biggest issues. It would be possible to address the issues with security and user accessibility, but doing so would forfeit scalability, low latency, and lengthy response times. the project in issue uses the Interplanetary File System and an original block chain approach as a direct result of this. Additionally, we discussed the system's workings and the ideas that led to its development. this research looks at a broad range of uses for economic and pricing models, which are often known as methods for intelligent, logical decision-making. Building adaptive protocols and algorithms that are designed expressly for use with WSNs is the ultimate objective of this study. Our objective is to create an atmosphere that inspires smartphone users to engage. the findings show that SATS has the potential to lower communication and computation costs, enabling it to provide affordable data transfer. the SATS system's calculation costs are as follows: AN: 14%, 23%, and 59%;Fog-Node: 6.5%,21.5%, and 51%;and sensor Node and AN: 6%, 3%, and 4%, respectively. this is a reasonable price when compared to the costs of PPDAS, IDAP, and ASAS, which are 14%, 23%, and 59%, respectively. According to the findings, the suggested SATS has a greater storage capacity, lower computation costs, lower communication costs, and more effective energy utilization when compared to other systems that belong to the same category. When compared to other existing systems. © 2023 ieee.

关键词： Communication Technologies Crowdsensing Network Internet of things Smart Devices Wireless sensor Networks

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Smart Air Pollution Monitoring System Using Arduino Based on Wireless sensor Networks 6th

Smart Air Pollution Monitoring System Using Arduino Based on...

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6th international conference on Soft computing and Signal Processing, ICSCSP 2023

作者： thaiyalnayaki, S. Sambandam, Rakoth Kandan K.Vidhyalakshmi, M. Shanthi, S. Jenefa, J. Vetriveeran, Divya Tamilnadu Chennai India Kengeri Campus Karnataka Bengaluru India Department of Computing Technologies Faculty of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Tamil Nadu Chengalpattu District603203 India Department of CSE Malla Reddy College of Engineering and Technology Telangana Hyderabad India

ISBN: (纸本)9789819984503

Impurity levels in air have risen throughout time as a result of several reasons, such as population expansion, increased automobile use, industry, and urbanization. All of these elements harm the health of individuals who are exposed to them, which has a detrimental effect on human well-being. We will create an air pollution monitoring system based on an IoT that uses a Internet server to track the air quality online in order to keep track of everything. An alert will sound when the level of harmful gases such CO2, smoking, alcohol, benzene, and NH3 is high enough or when the air quality drops below a specified threshold. the air quality will be displayed on the LCD in PPM. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Population statistics

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