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An Analysis of the Performance of Adaptive Error Control Coding Strategies 15

An Analysis of the Performance of Adaptive Error Control Cod...

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15th International Conference on Computing communication and Networking Technologies, ICCCNT 2024

作者： Dhabliya, Dharmesh Anandhasilambarasan, D. Ojha, Varun Primmia, D.R. Kalra, Hitesh Sahana, B.S. Vishwakarma Institute of Technology Department of Information Technology Maharashtra Pune India Karpagam Academy of Higher Education Department of Computer Science Engineering Coimbatore641021 India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Chennai127 India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India Karnataka Bangalore India

ISBN: (纸本)9798350370249

Adaptive blunders management coding strategies have become increasingly essential to ensure reliable communique in wireless systems. This paper presents an evaluation of the overall performance of adaptive error control coding strategies in noisy channels. Specifically, the authors offer a theoretical and numerical analysis of the error probability, throughput, and channel ability of adaptive error management codes over Rayleigh, Rican, and Z-diversity channels. The theoretical evaluation is based on the discrete-time finite-country Markov chains and the belief in perfect channel country records. The final results of the theoretical analysis famous that the error opportunity decreases while the channel fading is slower and that the error performance may be notably improved by the usage of more than one diversity technique. The numerical analysis is based totally on Monte-Carlo simulations of adaptive error control coding systems with frequency-hopping spread spectrum modulation. The consequences of the numerical evaluation show that the adaptive error management coding systems can efficiently enhance the overall mistake performance in Rayleigh and Rican fading channels. Moreover, the authors conclude that the Z-variety coding device substantially improves the channel capacity and throughput in comparison to other coding strategies. © 2024 IEEE.

关键词： Numerical Analysis Rayleigh Reliable Rican Theoretical Z-Variety

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A Way of Safe Wireless Networks using IμUWB/Vision through Sensor Networks 4

A Way of Safe Wireless Networks using IμUWB/Vision through ...

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4th IEEE International Conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2024

作者： Sharmila, P. Maheswaran, M. Mohanraj, T. Verma, Rajan Malviya, Bhupendra Subbarao, S.P.V. Prince Shri Venkateshwara Padmavathy Engineering College S & H Dept TN India Nehru Institute of Engineering and Technology Department of Mechatronics Engineering Tamil Nadu T.M.Palayam India Karpagam Academy of Higher Education Department of Computer Science and Engineering TN India Chitkara University Chitkara Center for Research and Development Himachal Pradesh India M.P Bhopal India Sreenidhi Institute of Science and Technology Electronics and Communication Engineering Department Hyderabad India

ISBN: (纸本)9798350360165

In current military and private spheres, the demand for exact localization within the home of mobile agents, especially small unmanned aircraft (UAVs), has attracted significant attention. This paper shows a new method to indoor UAV localization using Ultra-WideBand technology, combined with a cost-effective Motion Measurement Unit (IMU) while vision-based devices. A vital improvement to the positioning process is brought through the inclusion of an additional Kalman filter (EKF). The utilization of an inexpensive and low-cost IMU with the modeling phase, paired with the inclusion of vision odometer measurements for identifying marks in the closeness of the landing area, forms a key aspect of this method. The addition of range data plays a key role in reducing mistakes affiliated with the limited capabilities of gyroscopes and accelerometers, which are inherent in inertial devices. By deploying these multi-modal technologies that the suggested approach achieves a surprising level of precision, with data showing an amazing precision equal to 10 centimeters. This development holds potential for improving the operating effectiveness of small UAVs in indoor settings, offering a robust solution that joins Ultra-WideBand technology, IMU, while vision-based sensors throughout the framework of an Extension Kalman Filter. © 2024 IEEE.

关键词： Ultra-wideband (UWB)

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Secure Data Aggregation in Wireless Sensor Ad Hoc Networks using Homomorphic Encryption 15

Secure Data Aggregation in Wireless Sensor Ad Hoc Networks u...

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15th International Conference on Computing communication and Networking Technologies, ICCCNT 2024

作者： Vigenesh, M. Grover, Madhur Selvan, K. Senthamil Singla, Abhishek Chethan, M. Patil, Swati B. Department of Computer Science Engineering Karpagam Academy of Higher Education Coimbatore641021 India Centre for Interdisciplinary Research for Business and Technology Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Department of Electronics and Communication Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai127 India Chitkara Centre for Research and Development Chitkara University Himachal Pradesh 174103 India Karnataka Bangalore India Department of Information Technology Vishwakarma Institute of Information Technology Pune India

ISBN: (纸本)9798350370249

Wi-Fi Sensor advert Hoc Networks (WSANs) are susceptible to facts tampering attacks due to the big scale and open verbal exchange between specific nodes. An aggregator node collects records from multiple sensor nodes in a WSAN, and this information can be tampered or manipulated if the aggregator isn't secured efficiently. On this paper, we suggest a secure information aggregation protocol the usage of homomorphism encryption (HE) for WSANs. The proposed protocol utilizes the additive homomorphism homes of HEs to soundly combination the sensor facts in an allotted fashion without losing confidentiality. The benefits of the proposed protocol encompass the capacity to defend against records tampering, confidentiality, and scalability to large wide variety of nodes. The capability applications of this protocol range from relaxed facts series in crisis relief operations, to massive data analytics in net of factors (IoT). We additionally speak the capacity demanding situations associated with implementing the proposed protocol. ©2024 IEEE.

关键词： Data aggregation

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Improving Efficiency of Panel Using Solar Tracker Controlled Through Fuzzy Logic

Improving Efficiency of Panel Using Solar Tracker Controlled...

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2023 International Conference on Sustainable Emerging Innovations in engineering and Technology, ICSEIET 2023

作者： Sharma, Hemant Rana, Arti Singh, Ravindra Pratap Goyal, Bhawna Dogra, Ayush Lepcha, Dawa Chyophel Ies College of Technology Department of Computer Science Engineering Madhya Pradesh Bhopal India Uttaranchal Institute of Technology Uttaranchal University Department of Computer Science Engineering Dehradun248007 India Gla University Department of Mechanical Engineering Mathura India University Center for Research and Development Chandigarh University Punjab Mohali India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Chandigarh University Department Electronics and Communication Engineering Punjab Mohali India

ISBN: (纸本)9798350329186

In this research, application of fuzzy logic as an intelligent quality strategy for controlling a two-axis sun tracking solar energy system. Solar panels are most effective when oriented perpendicular to the sun's journey across the sky. The two-axis sun tracking solar energy technology relies on software for its architecture. In this research, a method for optimizing the output power of a solar panel in a photovoltaic system by using a combination of two fuzzy controllers, one for tracking the sun and one for finding the point of optimum power production is applied. Using two strategically placed DC motors, the solar panels' horizontal and vertical orientations may be adjusted to follow the sun throughout the day. To obtain the maximum power output of the solar panels, a DC-DC converter is used. Resultantly, the proposed system uses innovative fuzzy logic to maximize total output by making the most of both the amount of photovoltaic energy consumed and the duration of time during which solar energy is available. © 2023 IEEE.

关键词： Fuzzy logic

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Framework for Ship Trajectory Forecasting Based on Linear Stationary Models Using Automatic Identification System

Framework for Ship Trajectory Forecasting Based on Linear St...

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2022 International Conference on Machine Learning and Data engineering, ICMLDE 2022

作者： Srivastava, Smita Kumar, Lovneet Jeyanthi, R. Deepa, K. Aggrawal, Vinay Department of Computer Science and Engineering India Department of Electronics and Communication Engineering India Department of Electrical and Electronics Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India Centre for Artificial Intelligence and Robotics Defense Research and Development Organization Karnataka Bangalore India

Maritime surveillance is of utmost priority for a nation's security, and hence it's economy. For maritime awareness, coastal surveillance, and maritime activities in the Region of Interest (ROI) should be monitored. One of the ways to keep this in check is to restrain unwanted infiltration. Monitoring unwanted infiltration is feasible through vessel trajectory forecasting and anomaly detection in real time. Most solutions for trajectory predictions are available but require a huge amount of historical data, and high-power computing resources. Here, the requirement is developing a decision support framework consisting of both lite weight approaches for short-term predictions and deep learning-based techniques for long-term forecasting. This paper aims to find the suitability of Linear Stationary Models (LSM) like the Auto-Regressive Integrated Moving Average Model (ARIMA) for predicting and forecasting the Vessel Trajectory as means of lite weight short-term predictions. For this purpose, the Automatic Identification System (AIS) dataset of the U.S. West Coast is used. The significant effort was for data pre-processing to create a robust dataset for model training. An appropriate model after the model-selection process is used for trajectory forecasting. The model's accuracy is validated using Root Mean Square Error (RMSE) performance indices for residual and forecast errors. A window generator model is integrated with the best-fitted ARIMA model for recursive real-time predictions, with varied sizes and visualization. The proposed time-series model provided a very high accuracy as the RMSE value for prediction and 48 hours forecast are 0.023 and 0.017, respectively. © 2023 The Authors. Published by Elsevier B.V.

关键词： Time series analysis

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Multi to binary class size based imbalance handling technique in wireless sensor networks

Multi to binary class size based imbalance handling techniqu...

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作者： Singh, Neha Virmani, Deepali Dhiman, Gaurav Vimal, S. University School of Information Communication and Technology Guru Gobind Singh Indraprastha University Delhi Dwarka110086 India Department of Computer Science Engineering VIPS-TC School of Engineering and Technology Delhi110034 India Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon Department of Computer Science and Engineering University Centre for Research and Development Chandigarh University Mohali Gharuan140413 India Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun248002 India Division of Research and Development Lovely Professional University Phagwara144402 India Chitkara University Institute of Engineering and Technology Chitkara University Punjab 140601 India Department of Computer Science Government Bikram College of Commerce Punjab Patiala147001 India Department of Artificial Intelligence and Data Science Ramco Institute of Technology Tamil Nadu Rajapalayam626117 India

Wireless sensor network (WSN) has entered various disciplines including healthcare, banking, transportation, ocean and wildlife monitoring, earthquake monitoring, and numerous military applications. Now days, there is escalation in size of data which makes it unfeasible to analyse it with accuracy. There are numerous problems that are faced when detecting a pattern between structured and unstructured data which are unworkable by humans, so to make computation fast, easy and accurate, Machine Learning came in existence. Machine Learning is extensively used in WSNs. To make a machine learn, a training dataset is required and output is predicted by testing the dataset. A dataset in WSN has multi-class in its dependent variable. This multiclass classification causes class imbalance problem. The paper proposes multi to binary class size based imbalance handling technique in wireless sensor networks (MBSCIH) technique to solve class imbalance problem in multi-class classification. The technique MBSCIH converts multi-class classification into binary-class classification. The proposed technique MBSCIH is applied on WSN-DS, NSL-KDD and KDD-cup 99 datasets and is tested with five major machine learning algorithm: Naive Bayes, Random Forest, decision tree, support vector machine (SVM) and k-nearest neighbour (KNN). The test method used for testing is 10-fold cross validation. Results infer that the proposed method increases the existing efficiency by 15.13%, 0.28%, 0.01%, 0.01%, 0.12% for Naïve Bayes, Decision Tree, SVM, Random Forest and KNN Algorithms respectively for KDD Cup99 dataset. The proposed method increases the efficiency by 43.1%, 2.79%, 0.01%, 0.53% for Naïve Bayes, decision tree, SVM and KNN algorithms respectively for NSL-KDD dataset. Also, the proposed method increases the efficiency by 0.13%, 0.08%, 0.29%, 0.29% for Naïve Bayes, decision tree, SVM and KNN algorithms respectively for WSN-DS *** the experimental analysis proves that solving multiclas

关键词： Wireless sensor networks

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Application of Remote Sensing for Drought Monitoring with NDVI-based Standardized Vegetation Index in Nan Province, Thailand 7

Application of Remote Sensing for Drought Monitoring with ND...

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7th International Conference on Digital Arts, Media and Technology, DAMT 2022 and 5th ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications engineering, NCON 2022

作者： Pachanaparn, Chatpong Jeefoo, Phaisarn Rojanavasu, Pornthep University of Phayao School of Information and Communication Technology Geographic Information Science Phayao Thailand University of Phayao Research Unit of Spatial Innovation Development Geographic Information Science School of Information and Communication Technology Phayao Thailand University of Phayao Computer Engineering School of Information and Communication Technology Phayao Thailand

ISBN: (纸本)9781665495103

The objective of the study is to develop a methodology to detect drought in Nan province, northern part of Thailand using vegetation spectrum in different period of the satellite passing approximately 11,420 ***. the Normalized Vegetation Index (NDVI) obtained from the MODIS data has been used in order to detect the vegetation condition in the study area. In addition, the Standardized Vegetation Index (SVI) was used to examine the area with the NDVI difference from the average value of NDVI in the same period. This can reflect the drought through the vegetation index. The study has discovered that in the year 2018, the drought in the area was the most severe. The second and the third most severe drought occurred in 2016 and 2020 respectively. This will be useful for the preparation of the drought mitigation in the area for concern agencies. © 2022 IEEE.

关键词： Remote sensing

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Reliable Multihop Routing and Congestion Aware Chicken Swarm Optimization in Vehicular Ad-Hoc Network 3

Reliable Multihop Routing and Congestion Aware Chicken Swarm...

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3rd International Conference on Integrated Circuits and communication Systems, ICICACS 2025

作者： Anitha, Cuddapah Al-Tarazi, Dalia Vignesh, G.D. Vasuki, A. Vinotha Giri, Jayant Dinesh, M. School of Computing Mohan Babu University Erstwhile Sree Vidyanikethan Engineering College Department of Computer Science and Engineering Tirupati India Zarqa University Faculty of Engineering Department of Architecture Engineering Zarqa Jordan College of Engineering University of Business and Technology Jeddah Saudi Arabia St. Joseph's College of Engineering Department of Electronics and Communication Engineering Chennai India J.P. College of Engineering Department of Computer Science and Engineering Tenkasi India Yeshwantrao Chavan College of Engineering Department of Mechanical Engineering Nagpur India Lovely Professional University Division of Research and Development Phagwara India Department of Vlsi Microelectronics Chennai India

ISBN: (纸本)9798331508456

Background: Vehicular Ad Hoc Networks (VANETs) play a crucial role in intelligent transportation by facilitating communication between vehicles and vehicles with infrastructure-based models. They encounter problems such as significant movement, overcrowding, and loss of data. This research presents a novel deep reinforcement learning-based resource allocation and congestion optimization (DRLRCO) framework aimed at improving communication efficiency and high reliability using an effective learning process. Method Used: The DRLRCO framework employs agent-based learning to ensure precise data transmission, AdMAC Protocol for dynamic packet delivery, and Congestion-Aware Chicken Swarm Optimization (CSO) to enhance network performance. Result: The DRLRCO framework surpasses reinforcement learning models for comprehensive testing. Significant enhancements involve improved accuracy, reduced data loss, minimized overhead, increased throughput, and shorter average delays for real-time communication. Conclusion: The DRLRCO framework successfully tackles congestion and data loss in vehicular communication. Future studies might involve Artificial Intelligence (AI) for traffic forecasting, experimentation among high-speed vehicles and investigating blockchain for enhanced security. © 2025 IEEE.

关键词： Deep reinforcement learning

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development of an Automated Floating Water Filter Device Using Hollow Fibers

Development of an Automated Floating Water Filter Device Usi...

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2023 International Conference on Electronics, Information, and communication, ICEIC 2023

作者： Ng, Jeffrey Abisado, Mideth Bofill, John Jherson Sampedro, Gabriel Avelino Mapua University School of Electrical Electronics & Computer Engineering Manila Philippines National University College of Computing and Information Technologies Manila Philippines Research and Development Center Philippine Coding Camp Manila Philippines University of the Philippines Open University Faculty of Information and Communication Studies Laguna Philippines

ISBN: (纸本)9798350320213

Despite the advancements in irrigation systems, many communities in the Philippines still use deep-well hand pumps to draw water from a groundwater source. Water drawn from this pump typically contains rust due to wear-and-tear and metal corrosion. To aid with this issue, this study aims to provide a solution to filter rust from the water so they can have clean water for non-drinking purposes. Specifically, an Internet of Things (IoT)-enabled device that serves as an automated floating water filter using hollow fibers as the filtration system is proposed. The proposed system shall serve as a means to notify users of water quality for possible preventive measures and maintenance work. This device will ease the trouble of unwanted particles and provide ease to residents using the manual pumping well. © 2023 IEEE.

关键词： Floating Water Filter Device Hall Effect Sensor Hollow Fiber Level Sensor

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Modeling Blockage in High Directional Wireless Systems 2

Modeling Blockage in High Directional Wireless Systems

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2nd IEEE Virtual Conference on communications, VCC 2024

作者： Koutsonas, Evangelos Boulogeorgos, Alexandros-Apostolos A. Trevlakis, Stylianos E. Ali, Tanweer Tsiftis, Theodoros A. University of Western Macedonia Department of Electrical and Computer Engineering Kozani50100 Greece InnoCube P.C. Research and Development Department Thessaloniki55535 Greece Manipal Institute of Technology Manipal Academy of Higher Education Department of Electronics and Communication Engineering Manipal576104 India University of Thessaly Department of Informatics and Telecommunications Lamia35100 Greece University of Nottingham Ningbo China Department of Electrical and Electronic Engineering Ningbo315100 China

ISBN: (纸本)9798331530099

While the wireless word moves towards higher frequency bands, new challenges arises, due to the inherent characteristics of the transmission links, such as high path and penetration losses. Penetration losses causes blockages that in turn can significantly reduce the signal strength at the receiver. Most published contributions consider a binary blockage stage, i.e. either fully blocked or blockage-free links. However, in realistic scenarios, a link can be partially blocked. Motivated by this, in this paper, we present two low-complexity models that are based on tight approximations and accommodates the impact of partial blockage in high-frequency links. To demonstrate the applicability of the derived framework, we present closed-form expressions for the outage probability for the case in which the distance between the center of the receiver plane and the blocker's shadow center follow uniform distribution. Numerical results verify the derived framework and reveal how the transmission parameters affect blockage. © 2024 IEEE.

关键词： Blockage high-frequency communications modeling outage probability

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