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Energy Efficient and Congestion control Technique for IoT Enabled WSN for Video Routing Surveillance: A Survey 15

Energy Efficient and Congestion Control Technique for IoT En...

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15th international conference on advances in computing, control, and Telecommunication Technologies, ACT 2024

作者： Prathibha, S.B. Supriya, M.C. Dept of computer science and engineering SSIT Sri Siddhartha Academy of Higher Education India Dept of DS and AI&ML SSIT Tumkur India

ISBN: (纸本)9798331300579

Cities all around the world have recently begun to build contemporary smart city infrastructure, which is typically only possible with the usage of cutting-edge *** smart city environments are made possible by intelligent video *** various angle cameras serve as smart sensors that gather visual information from the environment of smart cities and send it for additional visual *** are numerous ways to avoid network communication bottlenecks and enhance the routing *** the majority of the time, unknown attributes caused the network to become unstable and lower the Quality of *** using the right training model to anticipate the congestion properties, this can be *** research offered a unique prediction method by utilizing the matching identification of feature sets to address this *** Probabilistic Rapid March Searching (PRMS) algorithm can be used to do this. © Grenze Scientific Society, 2024.

关键词： Quality of service

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Optimal control of Rotary Inverted Pendulum Using Continuous Linear Quadratic Gaussian (LQG) controller 14

Optimal Control of Rotary Inverted Pendulum Using Continuous...

引用

14th international conference on computing communication and networking Technologies, ICCCNT 2023

作者： Tomar, Basant Kumar, Narendra Sreejeth, Mini Delhi Technological University Dept. of Electrical Engineering Delhi110042 India

ISBN: (纸本)9798350335095

This work presents a continuous Linear Quadratic Gaussian (LQG) controller based on the optimal control strategy for swinging-up the rotary inverted pendulum and maintaining an equilibrium in the vertical upward position, both using simulation and experimentation. The trajectories and optimal control with sufficient weights are approximated using numerical method. Gradient descent and algebraic descent are the numerical methods used for obtaining optimal control function. Experimentally, swing-up are to be controlled with ad hoc strategies: energy shaping and exponentiation of the pendulum position. The equilibrium at the upward position, achieved by the linear controller, can be easily disturbed by a small perturbation. So, the region of stability where equilibrium can be maintained for maximum input voltage is found on the basis of binary search algorithm. © 2023 IEEE.

关键词： Numerical methods

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PACED-5G: Predictive Autonomous control using Edge for Drones over 5G

PACED-5G: Predictive Autonomous Control using Edge for Drone...

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international conference on Unmanned Aircraft Systems (ICUAS)

作者： Sankaranarayanan, Viswa Narayanan Damigos, Gerasimos Seisa, Achilleas Santi Satpute, Sumeet Gajanan Lindgren, Tore Nikolakopoulos, George Lulea Univ Technol Dept Comp Sci Elect & Space Engn Robot & AI Grp Lulea Sweden Ericsson Res Lulea Sweden

ISBN: (纸本)9798350310375

With the advent of technologies such as Edge computing, the horizons of remote computational applications have broadened multi-dimensionally. Autonomous Unmanned Aerial Vehicle (UAV) mission is a vital application to utilize remote computation to catalyze its performance. However, offloading computational complexity to a remote system increases the latency in the system. Though technologies such as 5G networking minimize communication latency, the effects of latency on the control of UAVs are inevitable and may destabilize the system. Hence, it is essential to consider the delays in the system and compensate for them in the control design. Therefore, we propose a novel Edge-based predictive control architecture enabled by 5G networking, PACED-5G (Predictive Autonomous control using Edge for Drones over 5G). In the proposed control architecture, we have designed a state estimator for estimating the current states based on the available knowledge of the time-varying delays, devised a Model Predictive controller (MPC) for the UAV to track the reference trajectory while avoiding obstacles, and provided an interface to offload the high-level tasks over Edge systems. The proposed architecture is validated in two experimental test cases using a quadrotor UAV.

关键词： control Architectures UAS Applications Autonomy Robotics Edge computing Time-Delayed System Kubernetes UAV MPC

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Research on Junction Temperature control of LED Lamps for New Energy Vehicles based on Time-Delay PID Algorithm 3

Research on Junction Temperature Control of LED Lamps for Ne...

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3rd international conference on Smart Generation computing, communication and networking, SMART GENCON 2023

作者： Zhu, Xianming Zhang, Fan Hunan Automotive Engineering Vocational College 412000 China

ISBN: (纸本)9798350319125

Nowadays, energy consumption is becoming more and more serious, and some energy is a non-renewable resource, resulting in a decrease in energy quantity. Therefore, new energy sources are needed to replace and reduce the use of non-renewable resources. Among them, cars consume too many non-renewable resources, in order to solve this problem, new energy vehicles were born. In new energy vehicles, LED lamp junction temperature control is very important, the lower the junction temperature, the better, can extend the service life, so the junction temperature needs to be controlled. Traditional control methods cannot accurately solve the problem of LED lamp junction temperature control in new energy vehicles. Therefore, a time-delay PID algorithm is proposed to analyze the junction temperature control of LED lamps. First of all, artificial intelligence is used to control the junction temperature of the LED lamp, and the index is divided according to the requirements of the junction temperature control of the LED lamp to reduce the interference factors in the junction temperature control of the LED lamp. Then, artificial intelligence controls the junction temperature of LED lamps of new energy vehicles, forms an LED lamp junction temperature control scheme, and comprehensively analyzes the results of LED lamp junction temperature control. MATLAB simulation shows that under certain evaluation criteria, the accuracy of LED lamp junction temperature control and the reliability of LED lamp junction temperature control of new energy vehicles by the time-delay PID algorithm are better than those of traditional control methods. © 2023 IEEE.

关键词： artificial intelligence Delayed PID algorithm Junction temperature control new energy vehicles

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Machine Learning Based Feature Selection for DDoS Detection in Named Data networking 4

Machine Learning Based Feature Selection for DDoS Detection ...

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4th international conference on advances in computing, communication control and networking, ICAC3N 2022

作者： Subasri, I. Emil Selvan, G.S.R. Ramkumar, M.P. Thiagarajar College of Engineering Department of Computer Science and Engineering Madurai India

ISBN: (纸本)9781665474368

With the growing recognition that current Internet protocols have significant security flaws;several ongoing research projects are attempting to design potential next-generation Internet architectures to eliminate flaws made in the past. These projects are attempting to address privacy and security as their essential parameters. NDN (Named Data networking) is a new networking paradigm that is being investigated as a potential alternative for the present host-centric IP-based Internet architecture. It concentrates on content delivery, which is probably underserved by IP, and it prioritizes security and privacy. NDN must be resistant to present and upcoming threats in order to become a feasible Internet framework. DDoS (Distributed Denial of Service) attacks are serious attacks that have the potential to interrupt servers, systems, or application layers. Due to the probability of this attack, the network security environment is made susceptible. The resilience of any new architecture against the DDoS attacks which afflict today's Internet is a critical concern that demands comprehensive consideration. As a result, research on feature selection approaches was conducted in order to use machine learning techniques to identify DDoS attacks in NDN. In this research, features were chosen using the Information Gain and Data Reduction approach with the aid of the WEKA machine learning tool to identify DDoS attacks. The dataset was tested using K-Nearest Neighbor (KNN), Decision Table, and Artificial Neural Network (ANN) algorithms to categorize the selected features. Experimental results shows that Decision Table classifier outperforms well when compared to other classification algorithms with the with the accuracy of 85.42% and obtained highest precision and recall score with 0.876 and 0.854 respectively when compared to the other classification techniques. © 2022 IEEE.

关键词： Data reduction

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A Neuro-Wave controlled Wheelchair Combined with Gesture and Voice control 15

A Neuro-Wave Controlled Wheelchair Combined with Gesture and...

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15th international conference on computing communication and networking Technologies, ICCCNT 2024

作者： Rahman, Md. Saidur Sourav, Md. Shakabul Islam Sarker, Md. Asaduzzaman Rumman, K.M. Sajol, Md Saiful Islam Shovon, Md. Shoriful Islam Dept. of Eee Dhaka Bangladesh Dept. of Eee Dhaka Bangladesh University of Dhaka Dept. of Biomedical Physics & Technology Dhaka Bangladesh Dept. of Eee Dhaka Bangladesh Dept. of Geb Sylhet Bangladesh

ISBN: (纸本)9798350370249

This paper presents the design and implementation of a neuro-wave-controlled wheelchair with a gesture and voice control system. This research includes the Gesture controlled Wheelchair (GCW), Voice controlled Wheelchair (VCW), and Brain controlled Wheelchair (BCW). The GCW uses a pseudo glove carrying an accelerometer as input, while the VCW uses a microphone for voice input. Arduino Integrated Development Environment (IDE) develops the necessary software. BCW scheme utilizes a Bluetooth-connected Brainwave sensor module to send neuro-wave data wirelessly to a laptop for processing. The data is being processed using MATLAB Simulink Digital Signal Processing (DSP) toolbox to generate commands for the movement of the wheelchair. Implementing the self-controlled automatic wheelchair provides an essential solution for paralyzed patients to control their movements independently, thereby increasing their mobility and independence. The proposed design shows promising results and provides a solid foundation for integrating more advanced artificial intelligence technologies in disability assistance. The combination of neuro-wave, gesture, and voice control offers a holistic approach to disability assistance, increasing the wheelchair's usability and ease of use for physically disabled individuals. © 2024 IEEE.

关键词： and DSP toolbox BCW GCW Neuro-wave VCW

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Experimental Evaluation of Cross-Platform Recognition of Identical and Unknown Users over Social networking Environment

Experimental Evaluation of Cross-Platform Recognition of Ide...

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2024 international conference on Innovative computing, Intelligent communication and Smart Electrical Systems, ICSES 2024

作者： Nagababu, Kancharla Ananthi, S. Sunheriya, Neeraj Venkata Siva Prasad, Ch. Jayanthi, J. Fawareh, Hamed Aditya University Department of Computer Applications Surampalem India St. Joseph's College of Engineering Department of Cse Chennai India Yeshwantrao Chavan College of Engineering Department of Mechanical Engineering Nagpur India Jeppiaar Engineering College Department of Ece Rajiv Gandhi salai Chennai119 India Sona College of Technology Department of Cse Salem India Zarqa University Faculty of Information Technology Software Engineering Dept Zarqa Jordan University of Business and Technology Jeddah21448 Saudi Arabia

ISBN: (纸本)9798331543617

The capacity to individually identify and categorize people across sites and apps is vital for trustworthiness, fraud prevention, and personalized experiences in online social networking. In this study, strategies for platform identification among similar and unknown social networking users are evaluated. We study strategies that employ user attributes, behavior history, and inter-network connections to match profiles on multiple platforms and uncover new, previously connected people. This cross-validation on the proposed method uses Social Linkage Identification Strategy (SLIS) and Friend Relationship Evaluator. According to quantitative experiment results, our approach improves search people across multiple social networks more than FRE. The extensive social connection web in many online social networks is used to enhance user identification and verification via the Friend Relationship Evaluator (FRE) system. Our process uses advanced machine learning and data fusion to handle a wide variety of natural ventilation phenomena from different sensors and platform formats. We evaluate attribute-based matching, graph approaches, and behavior analytics for accuracy, scalability, and computing cost. This study advances user identification systems across digital platforms and helps service providers and end-users establish more sophisticated online identity management strategies. © 2024 IEEE.

关键词： Anonymous Identical Users FRE Identity Resolution SLIS Social Media Network User Identification

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Building an international Entrepreneurship Index using the PSR framework 4

Building an International Entrepreneurship Index using the P...

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4th international conference on advances in computing, communication control and networking, ICAC3N 2022

作者： Shivaram, Hitaishi Dutta, Kritika Kappil, Shine Raju Department of Data Science Bangalore India

ISBN: (纸本)9781665474368

This paper builds an international Index for Entrepreneurship (IIE) for the year 2018, by using a conceptual framework named PSR (Pressures-State-Response) to encapsulate the contextual aspect of entrepreneurship globally. In the past, the indices have used a methodological framework of composite indices. This paper uses the PSR framework to show how these indicators fall into the categories of pressure, state, and response, and concentrates on how these subsystems are interrelated. The study considers 41 countries for the construction of the index. We also check the correlation between the IIE and other growth indicators such as the corruption perception index, the economic freedom summary index, GDP per capita, and trade openness using suitable statistical *** correlation analysis demonstrates that the IIE and the Economic Freedom Summary Index have a positive association. © 2022 IEEE.

关键词： Statistical mechanics

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Resilience In-Band control Path Routing in Blockchain-Based Multi-Domain SDN 19

Resilience In-Band Control Path Routing in Blockchain-Based ...

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19th IEEE international Wireless communications and Mobile computing (IEEE IWCMC)

作者： Lei, Xingpeng Song, Yanbo Lin, Jiaqi Feng, Tao Li, Pengcheng Wang, Yao Yang, Chungang Xidian Univ Sch Telecommun Engn Xian Peoples R China AMS PLA Inst Syst Engn Beijing Peoples R China Xidian Univ Hangzhou Inst Technol Hangzhou Peoples R China

ISBN: (纸本)9798350333398

As Software Defined networking (SDN) continues to evolve, the demand for enhanced reliability and security within network infrastructures has surged. To address these pressing needs, we put forth a novel, blockchain-based SDN multi-domain network security architecture designed to bolster the safety measures of distributed systems. Furthermore, we've developed an innovative primary backup path optimization algorithm, which capitalizes on maximum disjoint in in-band mode to elevate the resilience of communication services. When a network encounters a failure, seamlessly transitioning the control path is crucial for maintaining uninterrupted, dependable operations and fortifying network resilience. In order to validate our approach, we conducted a series of simulation experiments, leveraging Pica8 and ONOS controllers to design the system architecture. Remarkably, the numerical outcomes revealed that our pioneering primary and backup control path algorithms significantly outperform the conventional shortest path algorithm in the face of network failure. By enhancing throughput and reducing packet loss rates, our proposal ultimately augments communication reliability.

关键词： Software Defined networking in-band mode blockchain maximum disjoint network resilience

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Intelligent Lab view based Fuzzy Logic controlled Irrigation System using IoT and LoRa Technology 15

Intelligent Lab view based Fuzzy Logic Controlled Irrigation...

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15th international conference on advances in computing, control, and Telecommunication Technologies, ACT 2024

作者： Behera, Abhisekh Pahuja, Roop Dr. B. R. Ambedkar National Institute of Technology Instrumentation and Control Department Jalandhar India

ISBN: (纸本)9798331300579

This paper investigates and compares experimental techniques in irrigation systems, focusing on crucial factors such as soil fertility, moisture level, pH level, water availability, and temperature for efficient agriculture and increased food productivity. The proposed method involves transmitting data from sensors (e.g., soil-moisture, pH, temperature, and air moisture) to an IoT platform utilizing LoRa communication protocol, processing it, and utilizing it for developing a fuzzy-control action to determine the optimal irrigation valve opening while also notifying the irrigation water pH. LoRa is a low-power wide area network solution enabling long-range communication with minimal energy consumption. The objective is to create a smart irrigation system for efficient water management in agriculture. The system monitors parameters like soil moisture, ambient temperature, and water pH, utilizing a fuzzy logic controller to regulate irrigation and minimize water wastage. LabVIEW facilitates data processing, valve control, and sensor data acquisition. LoRa is used for data transmission to a data concentrator and then broadcasted to the TTN platform for visualization and analysis. This setup demonstrates the effectiveness of LoRa and the fuzzy logic controller in achieving resource-efficient irrigation practices for sustainable agriculture. © Grenze Scientific Society, 2024.

关键词： Soil moisture

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