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Performance analysis of AODV-based VANETs in Guwahati city: a comparative study of propagation models

International Journal of Vehicle Information and Communication Systems 2025年第1期10卷 61-84页

作者： Borah, Rajkumar Joydev Ganga, D. Department of Electronics and Instrumentation Engineering National Institute of Technology Nagaland Nagaland Chumukedima India Department of Electrical and Electronics Engineering National Institute of Technology Nagaland Nagaland Chumukedima India

As a part of technological advancement, vehicular communication plays a vital role in modern day of urbanisation. The performance of Vehicular Ad-hoc Network (VANET) mainly depends on routing protocols and propagation models. This study looks into how different propagation models affect VANET performance in real time environment. As vehicle environments are dynamic and demanding, selecting an accurate propagation model is essential to create reliable communication. In this work, performance of widely used propagation models, such as Free Space Propagation (FRIIS), ITU-R P.1411 Loss Model and Nakagami fading are assessed and contrasted in Adhoc On-Demand Vector (AODV) routing-based VANET, considering various real-time traffic scenarios of Guwahati city using SUMO and NS3 platform. The results show that ITU-R P.1411 propagation model gives better Average Throughput, End-to-End Delay, End-to-End Jitter Delay and MAC/PHY-Overhead, whereas FRIIS routing protocol gives better Packet Delivery Ratio of Basic Safety Messages, Average Routing Goodput and Packet Delivery Ratio. Copyright © 2025 Inderscience Enterprises Ltd.

关键词： Vehicular ad hoc networks

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Bandwidth assessment of scheduled and unscheduled communication in hybrid networked control system

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Cyber-Physical Systems 2022年第4期8卷 321-346页

作者： Azad, S.M.A.K. Kannan, Srinivasan Department of Instrumentation and Control Engineering National Institute of Technology Tiruchirappalli India

The large integrated industrial applications require unified communication to combine data from multiple domains forming a hybrid network. The scheduling of network access time to multi-domain data in an industrial hybrid network is a challenging task. This paper extends the contribution of the network model mentioned in the literature to assess the bandwidth of both the scheduled and unscheduled communication in hybrid networked control systems. This paper's contribution includes four phases as follows: a) simulation of a hybrid networked control system (h-NCS) consists of four domains with different bandwidth allocations for an application of transmitting a data packet over a network stack from wired node to the wireless node. b) the mathematical demonstration of TCP and IEEE802.11b related to domains incorporated in h-NCS for data transmission. c) the normalisation of the bandwidth of the network access time for both scheduled and unscheduled data packets of h-NCS by implementing Dempster’s rule of combination. d) comparison analysis of proposed h-NCS with the traditional NCS for network access time utilised by both the scheduled and unscheduled data transmission. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Networked control systems

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New Environment Exploration Algorithm combining Bug, Free Segment and Turning Point Algorithm for Multi-Robot System 9

New Environment Exploration Algorithm combining Bug, Free Se...

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9th IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2023

作者： Abhishek, P. Potanpalli, Adarsh Pandey, Karnika Sridevi, V. National Institute of Technology Tiruchirappalli Dept. Instrumentation and Control Engineering Trichy India National Institute of Technology Tiruchirappalli Instrumentation and Control Engineering Trichy India

ISBN: (纸本)9798350334395

Exploration and mapping of an unknown environment is a challenging task and using a single robot is time consuming and inefficient. Multi Robot System(MRS) is used to reduces exploration time as well as to cover larger areas and produces accurate maps. This work focuses on development of new environment exploration algorithm for multi robot system which combines the features of Bug, Free segmentation and turning point algorithms. The Proposed algorithm utilizes capabilities of three mobile robots and tested on simulated outdoor environment with static obstacles. Two sub robots are equipped with LiDAR sensors and are used to explore the region between initial and target location. The point cloud generated by LiDAR sensors of the two robots is shared with the main/mother robot to generate an occupancy map. Mother robot execute A∗ path planning algorithm on the occupancy map to find the shortest path and moves towards the target location. Proposed algorithm has low computational requirements and significantly reduces the time required to explore the given environment. Further, the performance of the proposed algorithm is compared with existing algorithms in terms of the time required to explore the environment and generate occupancy map. © 2023 IEEE.

关键词： Multipurpose robots

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Comparison of Soft Computing and Optimization Techniques in Classification of ECG Signal

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Recent Advances in Computer Science and Communications 2023年第2期16卷 37-43页

作者： Mathur, Prerak Sharma, Pooja Veer, Karan Department of Instrumentation and Control Engineering Dr. B.R. Ambedkar National Institute of Technology Jalandhar India

Electrocardiogram (ECG) is a visual representation of the heartbeat that can be used to detect cardiac problems. It helps in detection of a normal or abnormal state of heart diseases. Therefore, it is difficult to detect the cardiological status with naked eyes. So, features extraction from ECG signal is crucial to recognise heart disorders. After selecting significant features, classification can be done by Machine Learning (ML), and Deep Learning (DL). Most of the methods utilised to classify the electrocardiogram are based on 1-D electrocardiogram data. These methods focus on extracting the attributes wavelength and time of each waveform as input but but their behavior remains different during classification. Various ECG construal algorithms based on signal processing approaches have been planned in recent years. Few studies show how optimisation techniques are helpful for feature selection and classification with ML and DL. This work compares the studies based on ML and DL. It also depicts how optimisation methods increase the accuracy, sensitivity, and specificity of data. © 2023 Bentham Science Publishers.

关键词： Electrocardiograms

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Traffic sign recognition using deep learning

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International Journal of Vehicle Autonomous Systems 2023年第2-4期16卷 97-107页

作者： Patel, Vraj Mehta, Joy Iyer, Saurab Sharma, Ankit K. Instrumentation and Control Engineering Department Institute of Technology Nirma University Gujarat India

Recognition of traffic signs is an integral step towards achieving Advanced Driver Assistance Systems (ADAS) as distracted driving is one of the primary causes of road accidents and fatalities. This paper attempts to exploit the capabilities of Convolutional Neural Networks (CNN) to recognise traffic signs under various computational and environmental constraints. The German Traffic Sign Recognition Benchmark (GTSRB) dataset is used for the classification of images. The dataset is subjected to various image processing techniques like greyscaling, denoising, filtering, and thresholding to obtain a generalised model for the recognition of traffic signs. The neural network used here comprises three convolution layers each followed by a max pooling layer which further are followed by four fully connected dense layers. The models are trained for 100 epochs with a validation split of 20%. The model performs best with 'Adam' optimiser with a learning rate of 0.001. © 2022 Inderscience Enterprises Ltd.

关键词： Traffic signs

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A Study on control strategies utilized for performance enhancement of antilock braking system

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Materials Today: Proceedings 2023年 80卷 128-133页

作者： Shiza, Noor Kumar Singh, Amit Department of Instrumentation and Control Engineering Dr. B.R. Ambedkar National Institute of Technology Jalandhar Punjab India

Since the evolution of the first reliable antilock braking system in 1970, research society has been experimenting with different control strategies that can be utilized for the performance enhancement of this control system. The main goal of an antilock braking system is to provide the stability and steerability to the vehicle with minimum stopping distance during braking. As this system is highly non-linear with good number of uncertainties, a lot of control strategies have been implemented on it. This paper provides a critical review of some of these strategies and gives a brief reference to the improvements made in the braking system to be utilized in antilock braking system. In conclusion the paper discusses the advantages and drawbacks of these control systems and tends to provide the future scope of antilock braking system with these strategies. © 2022

关键词： Model predictive control

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Active control of railway vehicle suspension using PID controller with pole placement technique

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Materials Today: Proceedings 2023年 80卷 278-284页

作者： Nitish Kumar Singh, Amit Department of Instrumentation and Control Engineering Dr. B R Ambedkar National Institute of Technology Punjab Jalandhar 144011 India

With the advancement of technology in high-speed railway vehicles, ride comfort must be taken care of, which can be accomplished by employing effective vibration control techniques. Hence, this study focuses on the development of effective controllers which mitigate the vibration level and improves the ride quality of railway vehicle. A full-scale railway vehicle dynamic model of twenty-seven degrees of freedom with rail wheel contact and active suspension has been introduced. The required amount of optimum force for the active suspension has been achieved using a Proportional-Integral-Derivative controller tuned with the pole placement method. The performance of the active suspension system on the body's displacement, acceleration, and suspension deflection is evaluated in the time domain under the periodic track irregularities. The system's characteristics and control ability are discussed by analyzing the responses regarding percentage overshoots and settling time. From the simulations, it is found that the proposed control schemes reduce the overshoot to a more significant extent and consequently have a positive effect on improving the ride quality of railway vehicles. © 2023

关键词： Dynamic models

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Adaptive Observer based Simultaneous Estimation of Model Parameters and State-of-Charge of Lithium-ion Battery 20

Adaptive Observer based Simultaneous Estimation of Model Par...

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20th IEEE India Council International Conference, INDICON 2023

作者： Singh, Pooja Sharma, Rahul Kumar Dhanalakshmi, Kaliaperumal National Institute of Technology Department of Instrumentation and Control Engineering Tiruchirappalli India

ISBN: (纸本)9798350305593

The problem of simultaneous estimation of model parameters and states is considered for a class of non-linear systems. The model of the system is expressed in linear parameterized form which contains explicit functions of unknown parameters. The model is used to design an adaptive observer to obtain the estimation of the states. At the same time, the unknown model parameters are estimated by using adaptive laws based on Sliding Mode control (SMC). The stability of the designed observer is proved by using the Lyapunov approach. The resulting error dynamics is exponentially stable with robustness to external disturbances. The estimated error variables remain ultimately bounded even in the presence of disturbances. Simulation results are presented by using the technique for the problem of estimating the model parameters and State-of-Charge (SOC) of Lithium-ion Battery. The accuracy of the estimated variables obtained through simulation results shows the effectiveness of the technique. © 2023 IEEE.

关键词： Adaptive Observer Parameter Estimation Sliding Mode control State Estimation State-of-Charge

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Adaptive Backstepping control of 2-DOF Helicopter System Under Parametric Uncertainty

Adaptive Backstepping Control of 2-DOF Helicopter System Und...

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2023 International Conference on Power, instrumentation, control and Computing, PICC 2023

作者： Uddin, Md Imtiyaz Sharma, Rahul Kumar Kumar, Ram Deenadayalan, Ezhilarasi National Institute of Technology Department of Instrumentation and Control Engineering Tiruchirappalli India

ISBN: (纸本)9798350334463

The work presented in this paper is based on the design of adaptive backstepping control for a class of systems under parametric uncertainty. It considers 2-Degrees-Of-Freedom (2-DOF) helicopter system which is Multi-Input Multi-Output (MIMO) system with non-linearities, uncertainties and coupled dynamics. The uncertain parameters are estimated by using adaptive laws. The estimated parameters are used in the design of the control law. The resulting closed-loop system with the designed control law is robust with respect to the uncertain parameters of the system. The stability of the system is proved theoretically. Simulation and experimental results illustrate the effectiveness of the proposed technique. © 2023 IEEE.

关键词： Closed loop systems

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A comparative study for the estimation of Global solar radiation using different input variable selection techniques

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Materials Today: Proceedings 2023年 80卷 207-211页

作者： Gupta, Shubham Kumar Singh, Amit Department of Instrumentation and Control Engineering Dr. B R Ambedkar National Institute of Technology Jalandhar 144011 India

Better utilization of solar energy applications is possible if solar radiation prediction is made more accurate. Many prediction models were developed from time to time. In this study, an easy and convenient demonstration has been presented to reduce the model complexity with high accuracy in the predicted values. PCA, ANN, ANFIS, and other techniques were discussed in this paper to pre-process the input data. How conveniently do these techniques apply to row data sets to reduce the model complexity? A comparison shows how the model performance degrades due to the use of the large variables data set as well as the removal of key elements. So, this study shows the necessity and importance of pre-processing data and identification of the most significant variables. © 2022

关键词： Solar radiation

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