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

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UAV Based Fog Computing for IoT Networks

UAV Based Fog Computing for IoT Networks

引用

Information Technology (OCIT), OITS international conference on

作者： Jitendra Sai Prasad Eeshatwayi Annabathuni Venkata Padma Srivalli Sujitha Namburu Ramesh Kumar Department of Computer Science and Engineering SRM University-AP Amaravati India

ISBN: (数字)9798331510404

ISBN: (纸本)9798331510411

Fog computing using Unmanned Aerial vehicles is one of the most emerging technologies in the modern era. It has various advantages like high mobility, increased scalability, wireless connectivity, minimum man-power requirement, etc. Unmanned Aerial vehicles can act as fog devices between the Cloud and Internet of Things remote applications. It enhances the connectivity for the IoT devices available in remote areas by transferring the data to the cloud server in less time. In this paper, we propose algorithms that could be followed for the proper and optimal data transmission to the cloud from IoT remote applications via fog Nodes.

关键词： Wireless communication Cloud computing Wireless sensor networks Scalability Autonomous aerial vehicles Internet of Things Servers Security Monitoring Edge computing

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Hardware Implementation of Intrusion detection system for Blackhole Attack Detection

Hardware Implementation of Intrusion detection system for Bl...

引用

Intelligent Systems and Advanced applications (ICISAA), international conference on

作者： Ashwini V. Jatti V.J.K. Kishor Sonti Dr. D Y patil Institute of Technology Pimpri Pune Department of Electronics and Communication Engineering Sathyabama Institute of Science and Technology Chennai India

ISBN: (数字)9798331539948

ISBN: (纸本)9798331539955

More security is required for the newly emerging wireless adhoc network technologies. The development and testing of prototypes under blackhole attack mitigation is demonstrated in this work. The hardware model enables data transfer between PCs, laptops, and mobile devices in both indoor and outdoor environments. The system consists of five nodes, each of which is wirelessly connected to the others via ESP32 boards that have been programmed using the Arduino IDE. The hardware prototype was tested, and the data size was changed to measure the packet delivery time.

关键词： Wireless communication Wireless sensor networks Portable computers Prevention and mitigation Prototypes Size measurement Hardware Time measurement Security Testing

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UAV Based Fog Computing for IoT Networks 22

UAV Based Fog Computing for IoT Networks

引用

22nd OITS international conference on Information Technology, OCIT 2024

作者： Prasad, Jitendra Sai Annabathuni, Eeshatwayi Srivalli, Venkata padma Namburu, Sujitha Kumar, Ramesh Department of Computer Science and Engineering SRM University-AP Amaravati522 240 India

ISBN: (纸本)9798331510404

关键词： Wireless sensor networks

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Decoupled Deep Reinforcement Learning with sensor Fusion and Imitation Learning for Autonomous Driving Optimization

Decoupled Deep Reinforcement Learning with Sensor Fusion and...

引用

IEEE international conference on Artificial Intelligence and Computer applications (ICAICA)

作者： Junlin Zhu Jorge Ortiz Yuan Sun payPal (China) Co. Ltd. Pudong New Area Shanghai China Rutgers University New Brunswick USA

ISBN: (数字)9798350377255

ISBN: (纸本)9798350377262

Our study explores the integration of decoupled deep reinforcement learning (DRL) frameworks in autonomous driving, focusing on the impact of sensor fusion and imitation learning (IL) to enhance performance in complex, multi-task environments. Traditional DRL approaches often encounter limitations in real-time decision-making, particularly in the simultaneous handling of perception and control tasks. By decoupling these processes, the proposed method achieves improved specialization and adaptability, addressing the inherent challenges posed by dynamic driving scenarios. The comparative analysis demonstrates that the decDRL+IL+Early Fusion model reduces lane invasions by 79.6% and collision rates by 49.8% after 5,000 episodes, outperforming decoupled DRL models without IL, which yield reductions of 29.4% and 19.7%, respectively. Furthermore, early fusion improves task efficiency with a 14.7% reduction in steps per episode, while reducing energy consumption by 19.8%, underscoring its suitability for real-world deployment in autonomous systems. The findings emphasize the effectiveness of combining early sensor fusion with imitation learning, offering significant advancements in the scalability, efficiency, and safety of autonomous driving technologies.

关键词： Adaptation models Energy consumption Imitation learning Scalability Decision making sensor fusion Deep reinforcement learning Real-time systems Safety Autonomous vehicles

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Detection and Prevention Various Network Attacks Using Soft Computing Approaches: An Overview

Detection and Prevention Various Network Attacks Using Soft ...

引用

AIML-applications for Engineering & Technology (ICAET), international conference on

作者： Mahendra Deore Chhaya Gosavi Department of Computer Engineering MKSSS's Cummins College of Engineering for women Pune India

ISBN: (数字)9798350355611

ISBN: (纸本)9798350355628

The Internet of Things (IoT) has emerged as a powerful tool for remote environmental monitoring, attracting considerable interest from the research community. Through IoT-enabled wireless technologies, various applications such as Intelligent Transport Systems (ITS), healthcare, home automation, and precision agriculture have benefited from enhanced monitoring capabilities. The functionality of IoT applications is centred around sensor nodes, which are deployed in the field to collect data and transmit it to a base station (BS) for processing. However, IoT networks that utilize Wireless sensor Networks (WSN) face significant challenges. Two major issues are energy efficiency, which affects the longevity and performance of the network, and security vulnerabilities, which expose the system to a variety of threats such as sinkhole attacks, black hole attacks, and Denial of Service (DoS) attacks. These security concerns can severely disrupt communication and compromise the integrity of the data being transmitted. This survey paper focuses on examining recent security strategies designed to mitigate such threats in IoT networks. A systematic review was conducted to explore lightweight security solutions, with particular attention to trust-based and probe route-based mechanisms. These mechanisms offer promising approaches to safeguarding IoT networks while maintaining efficiency. The paper also presents a comparative analysis of these methods, evaluating them based on security techniques, types of attacks they address, and key performance metrics such as energy consumption and response times. The findings of this paper serve as a critical evaluation of the existing research, highlighting the strengths and limitations of the security measures reviewed. Through this comparative analysis, the study provides valuable insights into the effectiveness of various security approaches in protecting IoT-enabled networks from evolving cyber threats.

关键词： Wireless communication Surveys Wireless sensor networks Base stations Prevention and mitigation Security Internet of Things Time factors Probes Systematic literature review

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27.3 A Sub-1V 14b 5.8nW/Hz BW/Power-Scalable CT sensor Interface with a Frequency-Controlled Current Source Achieving a 225× Scalable Range

27.3 A Sub-1V 14b 5.8nW/Hz BW/Power-Scalable CT Sensor Inter...

引用

IEEE international conference on Solid-State Circuits (ISSCC)

作者： Xinjie Wu Yuyan Liu Xiaopeng Yu Nick Nianxiong Tan Zhong Tang Zhejiang University Hanoghou China Vango Technologies Hangzhou China

ISBN: (数字)9798331541019

ISBN: (纸本)9798331541026

Precision and energy-efficient sensor interfaces have always been needed in loT applications. To digitize weak signals (tens of mVs), such as shunt-based current and biomedical sensors, the interface should have low noise [1]–[4]. Moreover, to accommodate different use cases, the bandwidth (BW) and power dissipation of sensor interfaces should be highly scalable [5]–[7]. sensor interfaces based on discrete-time (DT) ADCs, such as SAR ADCs [8], [9] and FIA-based ΔΣ ADCs [5]–[7] are BW/power scalable, but they usually suffer from kT/C noise (Fig. 27.3.1 top, left). Using a continuous-time (CT) first stage, such as an instrumentation amplifier (IA) [1], [3], [4] (Fig. 27.3.1 top, right), or an active RC integrator [10], [11], can suppress the sampling noise of the following stages, however, they usually consume fixed static power, limiting their BW/power scalability.

关键词： Limiting Scalability Instruments Noise Bandwidth Energy efficiency Solid state circuits Power dissipation Biosensors

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A Novel Privacy-Preserving Approach for Physical Distancing Measurement Using Thermal sensor Array 2021

A Novel Privacy-Preserving Approach for Physical Distancing ...

引用

14th ACM international conference on Pervasive technologies Related to Assistive Environments (PETRA)

作者： Naser, Abdallah Lotfi, Ahmad Zhong, Joni Nottingham Trent Univ Sch Sci & Technol Nottingham England Hong Kong Polytech Univ Dept Rehabil Sci Hung Hom Hong Kong Peoples R China

ISBN: (纸本)9781450387927

Physical distancing measurements are accepted to be critical strategies to slow the spread of COVID-19 disease. Most of the recent works to measure the physical distancing between people aims for easy-to-deploy systems such as contact tracing applications to speed up the deployment process. However, these systems, which rely heavily on the Bluetooth proximity sensor, tend to have serious performance and reliability issues. This paper proposes and explores using Thermal sensor Array (TSA) towards physical distancing measurement. Distance estimation is achieved through using a multilayer perceptron (MLP) artificial neural network to measure the sensor-to-human distance and then to compute the physical distancing accordingly. Based on the conducted experimental work, the proposed sensor-to-human distance estimator's median overall error is +/- 0.2m for unseen testing data.

关键词： Physical distancing distance estimation thermal sensor array human-centred approach artificial neural network semantic segmentation adaptive system

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Resource-Efficient GRU for Real-Time Gesture Recognition

Resource-Efficient GRU for Real-Time Gesture Recognition

引用

international conference on Autonomous Robots and Agents, ICARA

作者： Michail Kaseris Sotiris Malassiotis Ioannis Kostavelis International Hellenic University Katerini Greece Information Technologies Institute CERTH Thessaloniki Greece

ISBN: (数字)9798331509231

ISBN: (纸本)9798331509248

Time-of-flight sensors deliver distance measurements through light propagation timing, facilitating object detection, gesture recognition, and three-dimensional mapping. These sensors maintain functionality across lighting conditions while ensuring response rates required for real-time applications. Based on these properties, combined with their cost and energy consumption parameters, we propose their exploitation in gesture recognition systems for human-robot interaction (HRI). This work presents two contributions: First, we introduce a dataset for gesture recognition tasks. Second, we develop a model for sequence classification optimized for resource constraints. The experimental results demonstrate the feasibility of the approach through quantitative evaluation metrics. Finally, we present classification results on the dataset, analyze the model's performance on gesture categories, and discuss future challenges and directions in this field of research.

关键词： Human-robot interaction Gesture recognition Object detection Robot sensing systems Real-time systems sensors Timing Performance analysis Long short term memory sensor arrays

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Machine Learning applications For Protecting The Information Of Health Care Department Using Smart Internet Of Things Appliances -A REVIEW 2

Machine Learning Applications For Protecting The Information...

引用

2nd international conference on Advance Computing and Innovative technologies in Engineering, ICACITE 2022

作者： Surve, Jyoti Umrao, Dhananjay Madhavi, M. Rajeswari, T.S. Bangare, Sunil L. Chakravarthi, M. Kalyan International Institute of Information Technology Department of Information Technology Hinjewadi Pune India Engineering & Management Institute Department Computer Science and Engineering Institute/ Organization: Naraina Vidya Peet Panki Kanpur Ganga Gunj India Vr Siddhartha Engineering College Department of Computer Science and Enginnering Chalasani Nagar Kanuru Vijayawada India Koneru Lakshmaiah Education Foundation Department of English AP Vaddeswaram India Sinhgad Academy of Engineering Savitribai Phule Pune University Department of Information Technology Pune India VIT-AP University School of Electronics Engineering Amaravathi India

ISBN: (纸本)9781665437899

So, let us begin with Machine learning (ML), which is a type of neural network (AI) that empowers software programmers to start increasing prediction without being done with full to do so. Because data is so valuable, improving strategies for intelligently having to manage the now-ubiquitous content infrastructures is a necessary part of the process toward completely autonomous agents. Computer vision and computer vision have improved a wide range of industries, including medical diagnoses, data display and procedures, science and research, and so on A number of tiny IoT devices on the market for heart rate sensor, allowing patients to roam about freely while their hearts are continually monitored. It is still difficult to guarantee ultra-accurate findings, however most current instruments can achieve accuracy rates of over 90 percentage... Monitoring cardiac rhythms, as well as glucose levels, may be challenging, and even those who are represented at medical institutions. Intermittent heart rate assessments cannot protect against sudden changes in vital signs, and standard techniques of heart rhythm surveillance used in hospitals require patients to be permanently attached to wired apparatus, limiting their mobility. © 2022 IEEE.

关键词： Health care

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Smart Monitoring System Using IoT System: A Review

Smart Monitoring System Using IoT System: A Review

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Engineering and Technology (PICET), Parul international conference on

作者： Ravi Kumar Paliwal Gandhi Viral Yogesh Kumar Electrical Engineering Department Parul University Vadodara India

ISBN: (数字)9798350369748

ISBN: (纸本)9798350369755

Recently the rapid advancements in technology and the proliferation of interconnected devices, the Internet of Things (IoT) has emerged as a transformative paradigm across various domains. In particular, IoT-based smart monitoring systems have garnered significant attention due to their potential to revolutionize monitoring and management processes across diverse sectors. This paper presents a comprehensive review of smart monitoring systems utilizing IoT technologies. We survey the state-of-the-art developments, methodologies, architectures, and applications within this domain.

关键词： Surveys Cranes Reviews Organizations Real-time systems sensor systems Maintenance Safety Internet of Things Monitoring

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