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

共 30822 条记录，以下是1751-1760 订阅

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QOS Performance Analysis of DDOS Attack on IoT-Based MANET 1

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3rd international conference on Smart computing and Cyber Security—Strategic Foresight, Security Challenges and Innovation, SMARTCYBER 2023

作者： Sharma, Rohit Arya, Rajeev Wireless Sensor Networks Lab Department of Electronics and Communication Engineering National Institute of Technology Patna Bihar800005 India

ISBN: (数字)9789819705733

ISBN: (纸本)9789819705726

The Internet of Things (IoT) is a growing technology that allows data to be exchanged with other devices over the Internet or via wireless networks. Cyber-attacks may cause malicious intrusions into IoT systems due to changes and developments in the IoT environment. A growing challenge IoT networks must address is distributed denial-of-service (DDoS) attacks. In IoT applications, DDoS attacks take advantage of the limited resources available in IoT devices, including storage limitations and network capacity. An AODV routing protocol with a DDOS attack is evaluated in this research paper in IOT-based Mobile ad-hoc networks. A simulation was conducted using network simulator 3 (NS3), and the results reveal that packet delivery ratios decrease with increased data transmission delay. DDOS Bot nodes decrease IOT-MANET’s performance significantly by increasing average packet loss, average bandwidth requirements, and average throughput loss. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Internet of things

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MSFVT: A Multi-sensor Fusion System for Vehicle Position Tracking in Unstructured Environments

MSFVT: A Multi-Sensor Fusion System for Vehicle Position Tra...

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2023 ieee international conference on Real-Time computing and Robotics, RCAR 2023

作者： Wang, Xu Yu, Huachao Lu, Caixia Liui, Xueyan Cui, Xing Su, Bo China North Artificial Intelligence Innovation Research Institute Beijing10072 China Collective Intelligence & Collaboration Laboratory Beijing10072 China

ISBN: (纸本)9798350327182

Accurate position tracking of the leader vehicle is the key to the vehicle-following technology for the unmanned ground vehicle (UGV), but there are still many challenges to implementing it in unstructured environments, especially in complex weather and rough terrain. This paper proposed a multi-sensor fusion system (MSFVT) to solve these problems. This system achieves a real-time and robust leader vehicle detection and tracking based on LiDAR, millimeter-wave Radar (MMW Radar), and inertial navigation unit (IMU)/Global Navigation Satellite System (GNSS) fusion. The implementation of this system is divided into three steps: First, the point cloud from LiDAR is separated into different clusters based on an adaptive threshold clustering method and the clusters are classified using a support vector machine (SVM) to obtain the leader vehicle detection result. The detection result initializes the tracking process and maintains subsequent continuous tracking. Second, the validated detection results from MMW Radar obtained after multiple data filters are used to provide the position information of the leader vehicle during the UGV movement. Finally, the position of the tracking target in each sensor is converted to a global coordinate system using IμGNSS information and fed into the Kalman filter to estimate the motion of the tracking target. To verify the effectiveness of our method, we perform it in diverse unstructured environments. The experimental results show that our method has a smaller target position estimation error and an average processing frame rate of more than 40Hz. © 2023 ieee.

关键词： Kalman filters

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Advancements in sensor Technology and Computer Vision for Enhanced Road Safety and Anomaly Detection using Machine Learning Approach 3

Advancements in Sensor Technology and Computer Vision for En...

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3rd international conference on Ubiquitous computing and Intelligent Information systems, ICUIS 2023

作者： Jesi, V. Elizabeth Jenitha Mary, L. Saranya, S. Poonguzhali, C. Mohanaprakash, T.A. Saranya, K. School of Computing College of Engineeering Srm Institute of Science and Technology Department of Networking and Communications Kattankulatur Chennai India Dhanalakshmi College of Engineering Department of Cse Chennai India Rajalakshmi Institute of Technology Department of Aids Chennai India S A Engineering College Department of Ece Chennai India Panimalar Engineeering College Department of Cse Chennai India Panimalar Engineeering College Department of Aids Chennai India

ISBN: (纸本)9798350306989

Development of sensor technology has significantly increased recently. To combat the high rates of fatalities and expenditures connected with injuries caused by traffic, sensor technology and computer vision have achieved considerable advancements. To improve road safety, an intelligent system has been created with the aim of spotting anomalies in the road and providing driving support. Utilizing a combination of accelerometer sensors, vibration motion sensors, gyroscopic sensors, and GPS technology, this system is smoothly integrated into cars. A comprehensive and evidence-based systematic review focused on Computer Vision applications for Automated Road Defect and Anomaly Detection is still lacking, despite the fact that prior studies and applications of computer vision have concentrated on particular aspects of road hazards. The system can identify several types of road irregularities based on the current location of the vehicle by using machine learning techniques to examine sensor data. Additionally, it gathers and compares data from other vehicles at the same GPS locations to confirm the presence of road problems like speed bumps or potholes. The GPS application provides access to a cloud-based repository where all the acquired data is safely kept. The technology notifies drivers ahead of time, advising them to slow down as they approach GPS spots that have previously been identified as having road abnormalities. The results of this poll could provide the scientific community with insightful information that would help improve traffic conditions and safety in general. experience. © 2023 ieee.

关键词： Anomaly detection

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PPG-based Heart Rate Estimation with Efficient sensor Sampling and Learning Models 24

PPG-based Heart Rate Estimation with Efficient Sensor Sampli...

引用

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, Yuntong Xu, Jingye Xie, Mimi Wang, Wei Ye, Keying Wang, Jing Zhu, Dakai The University of Texas Department of Computer Science San Antonio United States The University of Texas Department of Management Science and Statistics San Antonio United States College of Nursing Florida State University United States

ISBN: (纸本)9798350319934

Recent studies showed that Photoplethysmography (PPG) sensors embedded in wearable devices can estimate heart rate (HR) with high accuracy. However, despite of prior research efforts, applying PPG sensor based HR estimation to embedded devices still faces challenges due to the energy-intensive high-frequency PPG sampling and the resource-intensive machine-learning models. In this work, we aim to explore HR estimation techniques that are more suitable for lower-power and resource-constrained embedded devices. More specifically, we seek to design techniques that could provide high-accuracy HR estimation with low-frequency PPG sampling, small model size, and fast inference time. First, we show that by combining signal processing and ML, it is possible to reduce the PPG sampling frequency from 125 Hz to only 25 Hz while providing higher HR estimation accuracy. This combination also helps to reduce the ML model feature size, leading to smaller models. Additionally, we present a comprehensive analysis on different ML models and feature sizes to compare their accuracy, model size, and inference time. The models explored include Decision Tree (DT), Random Forest (RF), K-nearest neighbor (KNN), Support vector machines (SVM), and Multi-layer perceptron (MLP). Experiments were conducted using both a widely-utilized dataset and our self-collected dataset. The experimental results show that our method by combining signal processing and ML had only 5 % error for HR estimation using low-frequency PPG data. Moreover, our analysis showed that DT models with 10 to 20 input features usually have good accuracy, while are several magnitude smaller in model sizes and faster in inference time. © 2022 ieee.

关键词： Nearest neighbor search

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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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A Comparative Analysis and Design Criteria of MAC, SMAC, and TMAC Protocols in Wireless sensor Network 14

A Comparative Analysis and Design Criteria of MAC, SMAC, and...

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14th international conference on computing Communication and Networking Technologies, ICCCNT 2023

作者： Bhatia, Sandeep Bhadauria, R.V.S. Mehrotra, Komal Malik, Jeevan Goel, Amit Kumar Naib, Bharat Bhusan Galgotias University School of Computing Science and Engineering Uttar Pradesh Greater Noida India Galgotias University Electronics and Communication Engineering Department Uttar Pradesh Greater Noida India Kiet Group of Institutions Head-Humanities & Social Science Uttar Pradesh Delhi-NCR India

ISBN: (纸本)9798350335095

This paper offers an overview of Wireless sensor Networks (WSNs) and how they might be used in surveillance systems. With the help of WSNs, sensors may connect to one another and establish networks, enabling intelligent interactions with the physical world. In particular, the article addresses the need to solve energy efficiency issues while taking quality of service (QoS) and latency requirements into consideration. The research also emphasizes the need of energy-aware protocols in WSNs, especially for surveillance applications. The authors provide an overview of MAC protocols used in surveillance applications, looking at their presumptions, energy waste factors, and various protocols' efficacy. They go over many forms of communication, such as broadcast, converging cast, local gossip, and multicast, and they evaluate the benefits and drawbacks of MAC protocols, such as S-MAC, T-MAC, TRAMA, SIFT, and DSMAC. Collision avoidance, fair channel access, energy efficiency, support for quality of service, scalability, and adaptation to network dynamics are just a few of the characteristics of a well-defined MAC protocol that are covered. The paper also examines the uses of MAC protocols in WSNs, including asset tracking, home automation, environmental sensing, smart cities, precision agriculture, traffic monitoring, healthcare monitoring, intrusion detection systems, and environmental monitoring. An overview of the benefits and drawbacks of MAC protocols is presented in a comparison table at the end. According to the paper's conclusion, there is no standardized MAC protocol for sensor networks because the option depends on the particular application and its specifications. Researchers working on energy-aware procedures in WSNs, particularly in surveillance, are intended to benefit from the findings of this paper. © 2023 ieee.

关键词： Wireless sensor networks

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Blockchain Technology as a Monitoring Tool for sensor Data 19th

Blockchain Technology as a Monitoring Tool for Sensor Dat...

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19th international conference on computing in Civil and Building Engineering, ICCCBE 2022

作者： Brötzmann, Jascha Panda, Jyotiraditya Rüppel, Uwe IIB Technical University Darmstadt Darmstadt Germany University of Toronto TorontoON Canada

ISBN: (纸本)9783031353987

In the scope of this paper the profitable use of blockchain technology or so-called distributed ledger technologies in the context of Structural Health Monitoring (SHM) will be examined. SHM is the continuous or periodic and automated method for determining and monitoring the condition of an object. This is done by measurements with permanently installed or integrated sensors and by analyzing the hereby generated data. During those monitoring periods it often happens that some of the installed sensors are not working correctly. This may be caused by interference, by a corruption or even a manipulation. Therefore, the sensors can deliver abnormal data. Consequently, the delivered data is the starting point to overwatch the function of the sensors. Since on the monitored object multiple sensors are in use the measured data of those different sensors can be compared. If one sensor delivers deviating data it is likely that the sensor is not working the way it should. This verification process is being automated with blockchain technology. The correctness of the sensor data is then stored with the measured data itself on the chain. Thus, the entire generated information is securely and reliably tracked within the blockchain. Another advantage is the high scalability and decentralization of the blockchain. This is especially important when dealing with monitoring systems that can also have the need for scaling. For this described use case the implementation and application of the blockchain Hyperleder Fabric will be shown in the scope of this work. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Blockchain

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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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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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