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Architectural Framework for IoT Driven Data Acquisition and Transmission for Dynamic Assessments of Personal Driving Risk Indicator

Architectural Framework for IoT Driven Data Acquisition and ...

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Communications, Information, Electronic and Energy Systems (CIEES), international conference on

作者： Bakir Karahodža Alem Čolaković Adnan Omerhodžić Faculty of Traffic and Communications University of Sarajevo Sarajevo Bosnia and Herzegovina

ISBN: (数字)9798350352863

ISBN: (纸本)9798350352870

Connected and autonomous vehicles can potentially increase traffic safety by using various information and communication technologies (ICT). Data collected using technologies such as the internet of things (IoT) enables better traffic safety based on specific safety indicators. Modeling these indicators implies considering traditional traffic components such as driver-vehicle-road-environment. Eventually, if expressed in a suitable aggregate manner, traffic safety indicators can be presented and displayed to drivers to increase their attention and influence them to make decisions to avoid and mitigate traffic incidents. Existing driving risk assessment models usually consider a limited set of indicators related to individual drivers and their psycho-physical abilities which are important for participation in traffic. Data collected using IoT infrastructure alongside distributed computing and cloud technologies enables an expanded set of traffic safety indicators and a better assessment of driving risk. In this study, the common driver-vehicle-road-environment traffic safety indicators were considered and extended with the same indicators collected from neighboring drivers, weather conditions, surrounding awareness, and driver behavior data. We propose a novel architectural framework to provide dynamic driving risk assessment based on data collected using IoT technologies. the architectural framework provides a foundation for efficient data transmission between multiple sources and their processing, thus enabling the prediction of personal driving risk indicators.

关键词： Data acquisition distributed databases Safety Information and communication technology Risk management internet of things Data communication Vehicle dynamics Driver behavior Meteorology

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Energy Efficient Offloading Strategy faced to Edge computing-enhanced distributed Photovoltaic Smart Meter 22

Energy Efficient Offloading Strategy faced to Edge Computing...

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Proceedings of the 2022 5th international conference on Telecommunications and Communication Engineering

作者： Dejian Li Bingrong Cui Kaixin Li Tianjun Shen Yi Sun Shaonan Chang The Laboratory Open Fund of Beijing Smartchip Microelectronics Technology Co. Ltd.BeijingChina China Department of Electrical Engineering North China Electric Power UniversityBeijingChina China

ISBN: (纸本)9781450397797

With the rapid development of Power internet of things and the increase in the number of distributed photovoltaic smart meter (DPSM) technology, edge computing is required to support the low-latency computing service. Current works mainly focus on task offloading, the cooperation among smart meter devices is lack of attention. In order to reduce the task execution delay in of the network, a computing resource sharing architecture based on D2D is proposed. In order to reduce the processing delay and energy consumption of DPSM, we propose a task offloading model faced to DPSM. To minimize the total task execution delay, we formulate a Mixed-Integer Non-Linear Programming (MINLP) problem which optimizing task offloading and resource allocation jointly. then, a generalized Benders decomposition algorithm combined with particle swarm optimization is proposed to solve the problem. Simulation results show that the proposed strategy can effectively improve the measurement efficiency and reduce the computational cost.

关键词： Smart meter Task offloading Cost optimization Edge computing

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AI-Optimized Hardware Design for internet of things (IoT) Devices

AI-Optimized Hardware Design for Internet of Things (IoT) De...

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Recent Trends in Computer Science and technology (ICRTCST), international conference on

作者： P Vishnu Kumar Adokshaja Kulkarni Dinesh Mendhe Durgesh Kumar Keshar S. B G Tilak Babu N Rajesh Department of CSO G Pullaiah College of Engineering and Technology Kurnool Andhra Pradesh Department of Computer Science Engineering Tontadarya College of Engineering Gadag Karnataka Office of Research Computing Rutgers the State University of New Jersey New Brunswick New Jersey Department of Computer Science Kalinga University New Raipur Chhattisgarh Department of ECE Aditya Engineering College Surampalem Department of Electronics and Communication Engineering Maharaja Institute of Technology Mysore Karnataka

ISBN: (数字)9798350351378

ISBN: (纸本)9798350351385

the internet of things (IoT) has emerged as a transformative paradigm, connecting billions of devices to the internet and enabling seamless communication and data exchange. As the IoT ecosystem continues to expand, there is an increasing demand for energy-efficient, high-performance hardware tailored to the unique requirements of AI-powered applications deployed on IoT devices. this research focuses on the design and optimization of hardware architectures to meet the computational demands of AI algorithms in IoT environments. the proposed AI-optimized hardware design leverages the latest advancements in semiconductor technology and integrates specialized processing units for efficient execution of machine learning tasks. the architecture is tailored to address the constraints of IoT devices, including limited power resources, stringent size constraints, and the need for real-time processing. Key components of the design include low-power processors, hardware accelerators, and memory hierarchies optimized for AI workloads. Additionally, the system employs advanced algorithms for task offloading and distributed processing, enabling collaborative and energy-efficient execution of AI tasks across a network of interconnected IoT devices. the proposed AI-optimized hardware design is evaluated through simulations and real-world experiments, demonstrating superior performance in terms of energy efficiency, processing speed, and scalability. the results showcase the potential of the designed hardware to unlock new possibilities for AI applications in diverse IoT scenarios, ranging from smart cities and industrial automation to healthcare and environmental monitoring. the proposed research serves as a foundation for the development of next-generation IoT devices capable of seamlessly integrating AI capabilities while meeting the stringent requirements of the IoT ecosystem.

关键词： Machine learning algorithms Smart cities Scalability Ecosystems Computer architecture Hardware Energy efficiency

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the Impact of Quantum computing on Security in Emerging Technologies 5

The Impact of Quantum Computing on Security in Emerging Tech...

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5th international conference on Future Networks and distributed Systems: the Premier conference on Smart Next Generation Networking Technologies, ICFNDS 2021

作者： Abuarqoub, Abdelrahman Abuarqoub, Simak Alzu'bi, Ahmad Muthanna, Ammar Cardiff School of Technologies Cardiff Metropolitan University Cardiff United Kingdom Faculty of Engineering and Technology Liverpool John Moores University Liverpool United Kingdom Department of Computer Science Jordan University of Science and Technology Irbid22110 Jordan Department of Telecommunication Networks and Data Transmission Bonch-Bruevich Saint-Petersburg State University of Telecommunications Saint Petersburg193232 Russia

ISBN: (纸本)9781450387347

Quantum computing is rapidly shifting from high-tech lab to mainstream commercial use in the next few years, representing the next breakthrough in modern ICT. It is motivated by quantum computer's ability to perform computational tasks with efficiencies that are not possible with classical computers. Quantum computing technology has a lasting potential impact on society and broad implications on many aspects of our lives. Although quantum computing has several advantages, it threatens the security of current cryptographic techniques. It is expected that quantum computers will be able to solve the key distribution problem and break every single cryptography and authentication algorithm based on asymmetric cryptography. New emerging technologies such as the internet of things, blockchain, autonomous vehicles, 5G, artificial intelligence and robotics all rely on cryptography for their secure operation. therefore, the realisation of quantum computing will pose significant challenges to the current progress and future development of these technologies. In this paper, the quantum technology preliminaries are discussed. the possible impact of quantum technologies on emerging technologies is investigated. Finally, some of the currently available quantum-safe cryptosystems devoted to protecting computer systems in the quantum era are discussed. © 2021 ACM.

关键词： 5G mobile communication systems

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An Optimized DDoS Attack Detection Using Deep Convolutional Generative Adversarial Networks

An Optimized DDoS Attack Detection Using Deep Convolutional ...

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international conference on Inventive Research in computing Applications (ICIRCA)

作者： Chandra Mouli Venkata Srinivas Akana Arvind Kumar Mohit Tiwari Aslanov Zabit Yunus Vijayakumar E Mukesh Singh Bonam Venkata Chalamayya Engineering College Odalarevu School of Computer Applications Manav Rachna International Institute of Research and Studies Department of Computer Science and Engineering Bharati Vidyapeeth's College of Engineering Delhi India Azerbaijan State University of Economics - UNEC Baku Azerbaijan Department of Computer Applications KIT-Kalaignar Karunanidhi Institute of Technology Coimbatore Tamilnadu India Department of Computer Science and Engineering Graphic Era University Dehradun India

Attacks known as distributed Denial-of-Service (DDoS) are rising as a result of recent, dramatic increase in demand for internet access. When the amount and characteristics of network traffic, which may include harmful DDoS contents, expand dramatically, traditional basic algorithms using machine learning for classifying DDoS attacks frequently fail because it cannot automatically extract high-value characteristics. In order to effectively identify and classify DDoS attacks, a hybrid technique called DFNN-SAE-DCGAN that combines three deep learning-based models is suggested. the Deep Feed-Forward Neural Network (DFNN) and Stacked Auto encoder offers an efficient method for extracting features that identifies the most pertinent feature sets without the assistance of a person. To avoid the operational overhead and presumption associated with processing massive set of features with distortion and redundant characteristic values, the Deep Convolutional Generative Adversarial Networks (DCGAN) component of the proposed model classifies the attacks into various DDoS attack types using the restricted and minimized characteristic sets generated by the DFNN-SAE as inputs. the experimental results show a very high and resilient accuracy rate and an F1-score of 98.5%, which is higher than the performance of many similar approaches. these results were acquired by thorough and extensive trials on various performance aspects on the CICDDoS2019 dataset. this demonstrates that the suggested methodology may be utilized to defend against the increasing amount of DDoS attacks.

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GREENIE—Smart Home with Smart Power Transmission 5th

GREENIE—Smart Home with Smart Power Transmission

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5th international conference on Intelligent computing and Applications, ICICA 2019

作者： Noor Alleema, N. Babeetha, S. Hariharan, V.L. Sangeetha, S. Shraddha, H. SRM Institute of Science and Technology SRM University Ramapuram Chennai603203 India

ISBN: (纸本)9789811555657

the energy consumption is increasing in day-to-day life. Nowadays, the growth of smart devices has increased, which consumes more energy so people are shifting to renewable resources for producing energy. Modern homes are shifting from conventional switches to a centralized control system. Home automation refers to handling and controlling home. this project mainly focusses on transmitting energy wirelessly using GREENIE in home automation. the energy from various sources and it is distributed to the devices through WPT, where these devices are controlled using IoT, by using Ardunio the various sensor are connected to the devices and controlled using a web server and smartphones. © 2021, Springer Nature Singapore Pte Ltd.

关键词： internet of things

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internet of things in health care system: Cloud computing Review

Internet of things in health care system: Cloud Computing Re...

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international conference on Engineering technology and their Applications (IICETA)

作者： Dhuha Ajil Jassim Saad Saffah Hreshee Electrical department babylon university babylon Iraq

ISBN: (数字)9781665472159

ISBN: (纸本)9781665472166

internet of things (IoT) offers a seamless platform to connect people and objects to one another for enriching and making our lives easier. this vision carries us from compute-based centralized schemes to a more distributed environment offering a vast amount of applications such as smart wearables, smart home, smart mobility, and smart cities. management of huge amount data such as reports and images of every person leads to increase the human efforts and security risks. therefore, security should be at the staple of outlook in IoT elucidations. In this paper, we present review on the cloud based computing in the healthcare environment, we classified the previous work based on their functionality and design architecture.

关键词： Data privacy Cloud computing Smart cities Wearable computers Medical services Smart homes Performance analysis

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Intelligent Industrial Monitoring Environment for IoT Application Using LoRa-Based Wireless Sensors 5th

Intelligent Industrial Monitoring Environment for IoT Applic...

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5th international conference on Smart computing and Informatics, SCI 2021

作者： Arvind, Sudha Arvind, S. Nalla, Nitya CMR Technical Campus Telangana Hyderabad India Hyderabad Institute of Technology and Management Telangana Hyderabad India

ISBN: (纸本)9789811697043

India has been experiencing many gas tragedies since ages one of the biggest is Bhopal gas tragedy, on the night of December 2–3, 1984, and recent incident that took place in Vishakapatnam referred as Vizag gas leak at LG polymers chemical plant on May 7, 2020. Many incidents of these type took so many lives so far even industries has been developed and updated so far but due to minor negligence in some aspects leads to great disasters. this paper proposes surrounding monitoring system of industries that has a number of nodes for monitoring parameters such as Co level, poisonous gas, temperature, and humidity. A node is generally designed for data acquisition, and another node is designed for data collecting for further analysis. We can create any number of data acquisition nodes with a single-collecting node to connect all these it is made easy with Wi-Fi-based IoT as existing but the disadvantage is that Wi-Fi modem needs to connect wider network, so with proper working of the whole system is dependent on availability of this network. Here in this, we eliminate this problem by introducing a LoRa which means long range. Using LoRa, we can make our own interconnected IoT applications. Even though many techniques are existing to transfer information from widely distributed sensors that makes up the internet of things (IoT), generally these accounts with higher cost that do not apt for real-life applications. Among many emerging technologies present these days for providing long-range communication for IoT sensors, LoRa has been one among them. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： internet of things

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An Evaluation of Security Key in Mobile Cloud 5

An Evaluation of Security Key in Mobile Cloud

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5th IEEE international conference on Recent Trends in Electronics, Information and Communication technology (RTEICT)

作者： Giri, J. Venkata Murty, A. S. R. Sri Venkateshwara Coll Engn Dept Comp Sci & Engn Bengaluru India RajaRajeshwari Coll Engn Dept Elect & Elect Engn Bengaluru India

ISBN: (纸本)9781728197722

the quick advancement of distributed computing and portable registering trigger novel figuring worldview. Versatile Cloud computing as unique of the significant parts of distributed computing. As per the present circumstance there is a tremendous expanding use of portable registering, misusing its troublesome because of its natural issues, for example, visit detachments, portability, and asset shortage. Portable Cloud computing furnishes versatile clients with information stockpiling and handling administrations on a distributed computing stage. MCC can be characterized as a mix of versatile web and distributed computing, which is the utmost well known apparatus for portable clients to get to requests and administrations on the internet. Right now, the particular worries in portable distributed computing. We give a broad review of portable distributed computing research.

关键词： Mobile Cloud computing Client-Server Communication

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Task Scheduling and Load Balancing for Minimization of Response Time in IoT Assisted Cloud Environments

Task Scheduling and Load Balancing for Minimization of Respo...

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international conference on Contemporary computing and Informatics (IC3I)

作者： Arun Kumar Singh Anoop Kumar Research Scholar Banasthali Vidyapeeth Tonk Rajasthan India Banasthali Vidyapeeth Tonk Rajasthan India

the internet of things (IoT) necessitates a new processing paradigm that incorporates cloud scalability while reducing network latency by utilising resources closer to the network edge. On the one hand, it’s difficult to achieve such flexibility within the edge-to-cloud continuum, which consists of a distributed networked ecosystem of heterogeneous computing resources. IoT traffic dynamics, on the other hand, and the growing need for low-latency services necessitate decreasing reaction time and balancing service location. For cost-effective system administration and operations, fog computing load-balancing will become a cornerstone. though virtualization attempts to instantaneously balance the load of the overall network, there’s still the possibility of capacity excessive usage or under development. Heavily loaded systems degrade efficiency, while undercharged systems use bandwidth inefficiently. Because of inadequate load distribution, overburdened systems emit additional energy, driving up the cost of coolers as well as adding significantly to the warming of the planet. throughout most situations, cooling towers consume higher electricity than core IT technology. Despite the benefits of cloud computing as a distributed pool of resources and services, certain new IoT applications are not cloud-ready. Wind farms and smart traffic light systems, for example, have unique characteristics and requirements “(e.g., large-scale, geo-distribution) (e.g., very low and predictable latency)”. this research paper has considered secondary method of data collection to gather relevant and statistical data related to research topic.

关键词： Cloud computing Costs Processor scheduling Scalability Wind farms Load management internet of things

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