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检索条件"任意字段=International Conference on Sensor Technologies and Applications, SensorComm"

共 9443 条记录，以下是1171-1180 订阅

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High accuracy, fully reconfigurable DAQ system for sensing temperature

High accuracy, fully reconfigurable DAQ system for sensing t...

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international Scientific conference Electronics (ET)

作者： Vasil D. Gatev Valentin S. Mollov Panayot L. Petrov Mariana D. Manoeva Department of Computer Systems Faculty of Computer Systems and Technologies Technical University of Sofia 8 Kliment Ohridski blvd. Sofia Bulgaria Department of Electronics Faculty of Electronic Engineering and Technologies Technical University of Sofia 8 Kliment Ohridski blvd. Sofia Bulgaria

ISBN: (数字)9798350376449

ISBN: (纸本)9798350376456

The FPGA configurable integrated circuits (ICs) are a valid alternative to the common microcontroller solutions for application-specific (ASIC) embedded applications. The FPGAs are applied in the prototype step, before the ASIC synthesis, for end-user devices targeted to real-time applications. Nowadays IoT solutions with post-processing on cloud-based server technology, makes the dedicated DAQ device an important component in the system. The FPGAs are the appropriate basis for such device, where the data acquisition of analog values and its transfer to digital representation must be achieved with high-speed, high-resolution, low power consumption and effective optimization of the IC resources.

关键词： Temperature sensors Temperature distribution Power demand Data acquisition Prototypes Real-time systems sensors Servers Field programmable gate arrays sensor arrays

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Metaheuristic Algorithm with Deep Learning Based Secured Lifetime Maximization in Vehicular Adhoc Networks

Metaheuristic Algorithm with Deep Learning Based Secured Lif...

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international conference on Computer and Communications technologies (ICCCT)

作者： Manickavasagan V Susila Sakthy S Department of Computer Science and Business Systems Sri Sairam Engineering College Chennai India Department of Information Technology Sri Sairam Engineering College Chennai India

ISBN: (数字)9798331537579

ISBN: (纸本)9798331537586

Wireless sensor Networks (WSN)s along with Vehicular Adhoc Networks (VANETs) form two vital parts of contemporary smart systems because they help collect information and enable real-time response and decision-making in multiple applications. The effectiveness of these networks remains restricted due to their fluid topology designs as well as network security dangers and operational performance boundaries. The evaluation discusses artificial intelligence methods linked with metaheuristic approaches which optimize secure lifetimes for VANETs and WSNs. Energy consumption strategies and resource allocation as well as routing methods are reviewed using multiple metaheuristic algorithms. The research examines combination architectures of deep learning systems which handle real-time operational safety and efficiency while utilizing metaheuristic optimization for network optimization. A thorough evaluation of current methods shows their benefits together with their weaknesses as well as possible next steps for research. Research results showcase that the combination improves both WSNs and VANET network performance in terms of security and reliability.

关键词： Deep learning Wireless sensor networks Accuracy Metaheuristics Decision making Vehicular ad hoc networks Authentication Real-time systems Safety Genetic algorithms

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Performance Assessment of Leach and the Suggested Improvements to the M-Leach Protocol for Use in Wireless sensor Networks

Performance Assessment of Leach and the Suggested Improvemen...

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Computational Intelligence and Communication technologies (CCICT), international conference on

作者： Anuj Jain S Reeta Ponmalar Rahul Kumar Pankaj Rai School of Electronics & Electrical Engineering Lovely Professional University Phagwara Punjab India Department of Electronics Bhagwant University Ajmer Rajasthan India School of Mechanical Engineering Lovely Professional University Phagwara Punjab India Department of Electrical Engineering BIT Sindri Dhanbad Jharkhand India

ISBN: (数字)9798350374629

ISBN: (纸本)9798350374636

Nowadays, due to global warming, which is alarmingly increasing and causing natural calamities worldwide, due to counter impact, the world is talking much about green energy, natural resources, etc. In this paper, we discussed one of the popular networks, wireless sensor networks, which has gained popularity since it has been widely used in remote sensing applications. These networks can provide information about places where the government must concentrate to reduce the emission of gases which will affect the environment. Wireless sensor networks consist of sensor nodes, which are small gadgets powered by batteries and have limited energy resources. As a result of this limitation, these networks have a reduced lifespan. By employing various routing protocols, it is possible to extend the lifespans of Wireless sensor Networks (WSNs). LEACH, a protocol known for its low energy use, serves as an exemplar of such protocols. This study enhanced the M-LEACH (Multi-hop) protocol by integrating the real-time energy status of sensor nodes into the cluster head selection process. This approach enhances the overall lifespan of the network and addresses the problem of selecting low-energy nodes as cluster heads. Various metrics, including delay, delivery packet ratio, average energy consumption,

关键词： Global warming Climate change Wireless sensor networks Spread spectrum communication Power distribution Routing protocols Remote sensing Natural resources Green energy Government policies Performance evaluation Energy management

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Nutrifit: Smart Food Tracking and Nutritional Guidance System Using sensor-Based Monitoring

Nutrifit: Smart Food Tracking and Nutritional Guidance Syste...

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Intelligent Data Communication technologies and Internet of Things (IDCIoT), international conference on

作者： Nanditha Krishna Surabhi A S Ashrita Dikshit V A Bhagyashree Iliger G Sreedevi Department of Medical Electronics Engineering Center for Medical Electronics and Computational Intelligence Dayananda Sagar College of Engineering Bengaluru Department of Electronics and Communication RV College of Engineering Bengaluru Department of Biomedical Engineering ACS College of Engineering Bangalore India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527556

Proper nutrition is essential for maintaining health and well-being, particularly in children who are in critical stages of growth. Poor dietary habits can lead to deficiencies and increase the risk of chronic conditions such as anorexia and obesity. Children, unlike adults, often struggle to consume well-balanced meals, especially in childcare settings where meal intake may go unnoticed. This study introduces an automated food monitoring system designed to promote healthier eating habits for both children and adults. By considering factors such as age, weight, and location, the system provides personalized dietary recommendations. Using load cell sensors, it measures meal weight and tracks nutrient consumption over time, with data accessible through a user-friendly application and website. A survey conducted on children aged 4 to 10 years highlights the system's effectiveness in addressing nutritional gaps and fostering healthier dietary choices, supporting a preventive approach to long-term health.

关键词： Weight measurement Surveys Pediatrics Prototypes sensor systems and applications Real-time systems Time measurement Software reliability Planning Monitoring

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Based on Static And Dynamic:Fuzzy Logic-Based Clustering Optimization for Wireless sensor Networks

Based on Static And Dynamic:Fuzzy Logic-Based Clustering Opt...

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Advances in Modern Age technologies for Health and Engineering Science (AMATHE), international conference on

作者： Adnan Hussein Ali Marwa Mahdi Kareem Bayan Mahdi Sabbar Hind Q. Mohammad Monir Raed Khalid Ibrahim Mohannad Jabbar Mnati Electrical Techniques Department Institute of Technology Middle Technical University Baghdad Iraq Middle Technical University Technical Management Institute Baghdad Iraq College of Engineering and Engineering Technologies AlMustaqbal University Iraq Department of Medical Instruments Engineering Techniques Al-Farahidi University Baghdad Iraq

ISBN: (数字)9798350371567

ISBN: (纸本)9798350371574

Fuzzy C-Means (FCM) clustering, a widely employed and sophisticated data analysis method, offers a robust structure for handling intricate and uncertain data patterns. Its versatility extends to numerous domains, such as data mining, pattern recognition, and image segmentation. Unlike conventional hard clustering approaches, FCM is particularly suitable for scenarios involving ambiguous and overlapping data by assigning data points to distinct clusters with varying degrees of membership. This synopsis provides a summary of FCM, with particular emphasis on its core concepts, iterative optimization process, and capability to handle complex data patterns. It also describes the practical benefits and applications of FCM, emphasizing how it can be utilized to generate flexible and nuanced cluster assignments. Despite the presence of ambiguity and insufficient memberships, FCM continues to be a valuable tool for practitioners and researchers seeking efficient methods to cluster data.

关键词： Fuzzy logic Wireless sensor networks Image segmentation Data analysis Heuristic algorithms Clustering algorithms Resource management

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Energy Management, Design Constraints and Solution for Data Dissemination in Wireless sensor Networks 3

Energy Management, Design Constraints and Solution for Data ...

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3rd international conference on Intelligent Computing, Instrumentation and Control technologies, ICICICT 2022

作者： Agbulu, G. Pius Kumar, G. Joselin Retna Gunasekar, S. Srm Institute of Science and Technology Department of Electronics and Instrumentation Engineering Tamil Nadu Chennai603203 India Srm Institute of Science and Technology Tamil Nadu Chennai603203 India Sree Vidyanikethan Engineering College AndhraPradesh Sree Sainath Nagar Tirupathi 517102 India

ISBN: (数字)9781665410052

ISBN: (纸本)9781665410052

Wireless sensor network (WSN) technology has become an essential constituent of our lives in health care, homes, food, and vehicles. Nonetheless, the sensors in WSNs naturally have limited device lifecycle due to serious energy-constraints, and so cannot guarantee to satisfy the QoS (Quality of Service) demands of different monitoring applications. This presents a significant setback to the effective application of WSNs in real-word. Therefore, to enhance the lifecycles of WSNs, it is fundamental to improve the energy management at the nodes as they are mostly set-out in geographically isolated zones. To achieve this, several communications mechanisms for energy-management and reliable routing operations is required. In this paper, we examine energy-management and the reliable routing mechanisms of WSNs with specific emphases on mobile and static deployments. We also consider fundamental design challenges and mechanisms to deal with routing challenges posed by innate constraints of the node. We assess various recent routing schemes for energy management in WSNs and propose an application-specific time-driven distributed routing scheme named Wi-Fi-based multi-hop routing algorithm (WMHR). We show the performance of the proposed WMHR in terms of energy -saving in comparison with other classical time-driven routing models. © 2022 IEEE.

关键词： Energy management

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Advancing Energy Efficiency in Wireless sensor Networks for Prolonged Lifespan and Enhanced Resilience

Advancing Energy Efficiency in Wireless Sensor Networks for ...

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Electrical, Electronics, Information and Communication technologies (ICEEICT), international conference on

作者： D. Archana S. Prakasam Dept. of Computer Science and Applications Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya Kanchipuram Tamil Nadu India

ISBN: (数字)9798350369083

ISBN: (纸本)9798350369090

In Wireless sensor Networks (WSNs), the paramount concern revolves around energy efficiency, aiming to extend the network's operational lifespan. Achieving this objective encompasses several key facets that collectively contribute to the network's longevity and robustness. Firstly, developing cutting-edge routing algorithms and protocols plays a pivotal role. Secondly, energy efficiency has been increased through a suite of optimization techniques. These encompass the fine-tuning of routing paths, reduction of redundant packet transmissions, and the application of data aggregation and compression methods. These measures minimise redundant data transmissions, and sensor nodes can operate for extended durations without necessitating battery replacements. Thirdly, novel energy routing techniques address the challenge of balancing energy consumption among nodes. These methods dynamically adjust routing paths and traffic distribution, mitigating energy depletion disparities. This balanced energy consumption fosters network resilience and prevents premature node failures, ultimately bolstering the network's lifespan. Lastly, an essential component of energy-efficient transmission involves harnessing energy harvesting techniques. This strategy aims to replenish sensor node energy reserves by seamlessly integrating energy-harvesting mechanisms into the network. The optimization of energy scheduling and utilization based on energy availability and node requirements reduces the network's reliance on finite battery power, facilitating prolonged network operation through the utilization of renewable energy sources.

关键词： Wireless sensor networks Energy consumption Heuristic algorithms Data aggregation Routing Energy efficiency Batteries Data communication Optimization Resilience

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Snow Leopard Optimization Algorithm-Based Energy Efficient Cluster Head Selection in Internet of Things 7th

Snow Leopard Optimization Algorithm-Based Energy Efficient C...

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7th international conference on Advanced Computing and Intelligent Engineering, ICACIE 2022

作者： Arunachalam, N. Sengathir, Janakiraman Priya, M. Deva Department of Computing Technologies SRM Institute of Science and Technology Kattankulathur Tamilnadu Chennai India Department of Information Technology CVR College of Engineering Mangalpally Vastunagar Telangana Hyderabad India Department of Computer Science and Engineering Sri Eshwar College of Engineering Tamilnadu Coimbatore India

ISBN: (纸本)9789819950140

Energy stability and network lifetime are most challenging aspects in Internet of Things (IoT) in todays’ smart world. Clustering is an effective option for sustaining energy stability and network lifetime in IoT as the process of grouping nodes into clusters with efficient cluster head (CH) selection increases the probability of dramatically reducing energy consumption. However, potential selection of CHs is necessary in IoT as it is widely adopted in crucial applications which include smart agriculture and forest monitoring. In this paper, Snow Leopard Optimization Algorithm-based CH Selection Strategy (SLOACHSS) is proposed for maximizing energy stability and network lifespan by achieving optimized data routing in IoT. This proposed SLOACHSS achieves the process of clustering using steps that includes selection of CHs using SLOA and cluster formation. The process of CHs selection is achieved through the application of two different fitness functions that include energy possessed by CHs, and factor of inter-cluster and intra-cluster distance. SLOACHSS is proposed with phases of traveling of routes, hunting, reproduction, and mortality for balancing the rate of exploration and exploitation during CH selection in IoT. The simulation experiments of the proposed SLOACHSS confirm 23.21% improved energy consumption and 21.98% improved throughput in contrast to standard schemes for varying number of sensor nodes in the network. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Internet of things

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Development of Y Shaped Porous Anodic Alumina Humidity sensor to Enhance Lower Detection Limit and Sensitivity 1

Development of Y Shaped Porous Anodic Alumina Humidity Senso...

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1st international conference on technologies for Smart Green Connected Society 2021, ICTSGS 2021

作者： Alam, Noor Islam, S.S. Centre for Nanoscience and Nanotechnology Jamia Millia Islamia New Delhi110025 India

ISBN: (纸本)9781607685395

The amount of water vapours in the air can affect the productivity and safety of many manufacturing processes such as agriculture, pharmaceuticals, and semiconductor industries as well as human comfort. The humidity sensors based on porous materials such as PAA have persuaded much attention because of their high porosity and tuneable structure. In this work, we have developed a Porous Anodic Alumina (PAA) capacitive sensor using phosphoric acid electrolyte by the Differential Pulse Voltammetry method of anodization. The PAA-based humidity sensor shows ultra-high sensitivity, fast response, and a wide detection range of relative humidity (RH). Response and recovery time of the sensor are ~ 16 s and ~ 4 s, respectively at 64 RH%, and the sensor is capable of sensing 1-100 RH%. These results advocate that PAA is a propitious applicant for various humidity sensing applications, especially where low humidity detection is required i.e., paper, lithium-ion battery, tea industries, etc. © The Electrochemical Society

关键词： Branched pores Electrochemistry Humidity sensor Low RH Phosphoric Acid Porous Anodic Alumina (PAA)

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Advanced Encryption for Enhanced Data Protection for Heterogeneous sensor Networks

Advanced Encryption for Enhanced Data Protection for Heterog...

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international conference on Reliability, Infocom technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： Mandliya kishankumar Rameshbhai Daksh Mishra Shanti Verma Department of Computer Applications L J University Ahmedabad Gujrat India

ISBN: (数字)9798350350357

ISBN: (纸本)9798350350364

In Wireless sensory Networks (WSNs) a pivotal role will be in collection and disseminating process of sensitive data across various applications of domains, ranges from healthcare to industrial automation process. However, the inherently vulnerabilities to wireless communication as it exposes these networks to a potential security threat. In response to the challenges, the current research proposes a robust and adaptable encryption supportive system. By leveraging renowned Rivest Cipher mechanism, to enhances data protection in WSNs. The proposed system is named as RivaDataGuard which integrates the time-tested Rivest Cipher algorithm for providing a formidable defensive process against unauthorized access and data breaches. It is known that Rivest Cipher for its strength in confidentiality and data-integrity to ensures a secured communication channel within the WSN infrastructure. It will employ a dynamically varying management system, facilitating the generation and distribution of cryptographically generated keys to sensory nodes. This dynamic approach will enhance the system's resilience to attacks by ensuring that even if one Nodal point will be in malicious behavioral, the overall network performance will remain secure. This adaptability of Proposed methodology will not only optimize performance but also it minimizes power consumption which is a crucial factor for resource-constrained sensory nodes. For performance evaluation, the proposed system will undergo a rigorous testing and evaluation for validating its effectiveness in dynamically varying scenarios.

关键词： Wireless communication Performance evaluation Wireless sensor networks Ciphers Power demand Heuristic algorithms Medical services

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