Anand Gudnavar

@jcer.in

Associate Professor, Department of Computer Science and Engineering
Jain College of Engineering and Research

Anand Gudnavar


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https://researchid.co/anandgudnavar

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering, Multidisciplinary
16

Scopus Publications

67

Scholar Citations

5

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • SWrenOA: SpiderWren Optimization Algorithm with Multi-objectives for Agent-based Aggregation of Cloud Web Service Selection
    International Journal of Intelligent Engineering and Systems, 2025
  • Service Aware QoS Based Multi-Criteria Cloud Service Provider Recommender System for Cloud Self-Service Provisioning
    Sreedevi R Nagarmunoli, Uttam Patil, Anand Gudnavar
    2025 International Conference on Smart and Sustainable Technology Incsst 2025, 2025
    In the self-provisioning model for cloud services, where customers directly engage with Cloud Service Providers (CSP), a comprehensive analysis of service needs, resource capacities, and location parameters is crucial. The landscape of CSPs, service catalogs, and Quality of Service (QoS) is expanding, prompting a shift from traditional crawler-based tools to machine learning methods. The challenge of identifying a suitable CSP based on QoS requirements is heightened compared to provisioning identified resources. Consequently, we propose a Service-Aware Multi-Criteria CSP recommender system, which furnishes a curated list of CSPs. Operating within a self-service delivery paradigm, the system hinges on QoS parameters encompassing the requisite service, service location, and CSP location. The implementation of the proposed recommender system is accomplished through a deep neural network, and the obtained results are rigorously validated using the publicly available WS-DREAM dataset. Our results demonstrate a notable improvement in the response time and throughput surpassing the previous service recommender systems. This highlights the efficacy of our approach in enhancing recommendation accuracy.
  • Cyber Threat Detection and Analysis Using Dual-Layered Approach
    Anand Gudnavar, Keerti Naregal, Basavaraj K. Madagouda
    Journal of Computer Information Systems, 2025
  • Secure Communication in WSN-Based VANETs Using IoT and Elliptic Curve Cryptography
    Raghavendra Maggavi, Basavaraj Patil, Anand Gudnavar, Keerti Naregal
    2025 Global Conference on Information Technology and Communication Networks Gitcon 2025, 2025
    Vehicular Ad Hoc Networks (VANETs) are a cornerstone of intelligent transportation systems, enabling seamless real-time communication between vehicles and infrastructure. However, their open and dynamic nature exposes them to security threats such as spoofing, data tampering, and unauthorized access. To mitigate these vulnerabilities, this paper presents a secure and efficient communication framework for Wireless Sensor Network (WSN)-based VANETs using Elliptic Curve Cryptography (ECC). The proposed system integrates Raspberry Pi and the MQTT protocol to provide lightweight encryption and authentication, ensuring secure data exchange between an Onboard Unit (OBU) in emergency vehicles and Roadside Units (RSUs) managing traffic signals. This secure communication enables real-time emergency message transmission, allowing RSUs to dynamically prioritize ambulances and other emergency vehicles by adjusting traffic signals. By leveraging ECC for cryptographic security and MQTT for reliable, low-latency messaging, the system enhances data integrity, prevents unauthorized message manipulation, and reduces emergency response time. This cost-effective and scalable approach strengthens VANET security while improving traffic management and emergency response efficiency in smart city environments.
  • A Web-Based Public Grievance Redressal System with Image and Geolocation Support
    Prem M Javali, Keerti Naregal, Anand Gudnavar, Shrikant Athanikar, Suneel Shinde
    2025 International Conference on Smart and Sustainable Technology Incsst 2025, 2025
    This paper presents Infra-Alert, a crowdsourced digital platform designed to modernize public grievance redressal by addressing inefficiencies in traditional complaint resolution mechanisms. Citizens in India often face challenges due to poorly maintained infrastructure, including potholes, faulty streetlights, and uncollected garbage, with bureaucratic processes delaying resolutions. Infra-Alert provides a real-time, transparent, and automated system for lodging complaints, ensuring seamless submission with geolocation tracking and image uploads. Developed using HTML, CSS, JavaScript, PHP, and MySQL, Infra-Alert enables structured complaint routing, direct departmental complaints in PDF format, and Cloudinary-based cloud storage for issue images. A user-friendly dashboard allows citizens to track their complaint status, while authorities can efficiently view, solve, or reject issues, and improving accountability. The system streamlines data management, and enhances municipal responsiveness, bridging the gap between citizens and governing bodies. Future enhancements may include AI-driven complaint verification, automated prioritization, and chatbot-based assistance to further optimize urban issue resolution. This study underscores the necessity for digital transformation in public grievance systems, demonstrating how technology can enhance urban governance and service delivery.
  • Bank Form Automation Using AI-Powered Speech Recognition and Transliteration in Kannada
    J Ananya, Sunita Ratnoji, Pradnya Sutar, Anand Gudnavar, Basavaraj Patil
    2025 International Conference on Smart and Sustainable Technology Incsst 2025, 2025
    This paper introduces a Kannada Voice-Based Automated Bank Form-Filling System which uses speech recognition, transliteration, and text-to-speech technologies to fill the gap between non-English speakers and banking documentation. The application’s frontend is constructed with HTML, CSS, and JavaScript, while the backend is created with Flask which is a Python framework. The system read out each field name in Kannada as a user starts the form-filling process (for example, “Name” is read as “”). After that, users can give their answers in Kannada, further it will be translated into English and then input will be entered into the appropriate form areas or fields. The system makes use of text-to-speech synthesis to produce Kannada audio feedback, Google’s Speech Recognition API used to record voice input, and Indic Transliteration to translate Kannada text into English. The project’s dynamic handling of numerical quantities, especially for financial transactions, is one of its main features. Number words in Kannada, such as “” meaning fifty, are automatically converted to their respective numerical equivalents or values. This system is especially helpful for the senior citizens, rural populations, blind people, and those people with limited English literacy. Its user-friendly voice-based interface lessens the need for human assistance at bank. The proposed system is a web-based platform that replicates bank forms exactly as they appear in physical format. Further the user can just take the printout of the form via clicking on option to download the pdf format of the form and also includes the summarization of the form in Kannada
  • Efficient Smart Public Transit System Using RFID and IoT integration with MERN web applications
    Kartik Madasanal, Anand Gudnavar, Sreedevi Nagarmunoli, Basavaraj Madagouda, Keerti Naregal
    Iccece 2025 International Conference on Computer Electrical and Communication Engineering, 2025
    This paper develops a Smart Public Transportation System using RFID technology, IoT integration, and a MERN-based web application for increasing the efficiency, accessibility, and user experience of urban transit systems. It addresses problems such as unreliable bus tracking, lack of support for multilingualism, and ineffective communication between operators and passengers. The key hardware components include RFID tags for bus identification, and IoT-enabled bus stations with RFID scanners, speakers, GSM modules for data transmission, and LCD displays. These ensure accurate real-time updates about the bus locations. On the software side, it is supported by a MERN stack, including MongoDB, Express.js, React.js, and Node.js, providing a responsive web interface that’s complemented by Leaflet.js for dynamic route visualization and WebSockets for live updates. Multilingual support through i18next makes it inclusive for various user groups. The system is efficient in that it only updates when RFID scanners capture bus tags at certain checkpoints, thereby reducing server load much more than GPS-based systems. Additional features include route tracking, interactive maps, ticket pricing, and anonymous passenger chats. Crowd-sourced feedback mechanisms and an admin panel for bus management ensure the reliability and scalability of the system. This work shows the feasibility of cost-effective, scalable, and user-centric modernization of public transportation systems, paving the way for further enhancements such as integrated payment systems and AI-based route optimization.
  • A Comparative Analysis of CNN and YOLOv8 for Real-Time Traffic Sign Detection
    Vivek Ghodageri, Basavaraj Madagouda, Sumanth V, Namrata Angadi, Anand Gudnavar, Shivanand Patil
    2025 6th International Conference for Emerging Technology Incet 2025, 2025
    In recent years, real-time object detection has become a critical requirement in fields such as autonomous driving, surveillance, and robotics. Traditional Convolutional Neural Networks (CNNs) often deliver strong accuracy but can struggle with inference speed and the detection of small or overlapping objects. This paper addresses the need for a more robust and efficient solution by comparing a CNN-based model and YOLOv8 on a representative dataset, focusing on metrics such as accuracy, precision, recall, and inference time. Our objective is to determine which architecture best meets the demands of time-sensitive applications without compromising detection performance. We train both models under uniform conditions, employing consistent data augmentation and hyper parameters, and evaluate them in the same testing environment. The results reveal that YOLOv8 not only outperforms the CNN in accuracy and F1-score but also delivers real-time inference at approximately 90 frames per second. This significant improvement in speed and detection quality underscores the suitability of YOLOv8 for applications that require instantaneous object recognition. By highlighting these comparative insights, we offer a clear solution pathway for researchers and industry practitioners seeking an optimal balance between performance and computational cost in real-world detection tasks.
  • Energy efficient routing protocol for enhancing the network lifetime in wireless sensor network
    Veeresh Hiremath, Sidlingappa Kerur, Anand Gudnavar
    Indonesian Journal of Electrical Engineering and Computer Science, 2024
    Wireless sensor networks (WSNs) confront significant challenges related to battery capacity, as sensor nodes operate on limited energy resources. To address this issue, low energy adaptive clustering hierarchy (LEACH) protocol is commonly employed for power management in WSNs. LEACH is commonly used for power management. Here, sensing region is divided into clusters and sectors, placing a gateway node at the center to minimize energy consumption during data transmission. It employs one-hop, two-hop, or three-hop pathways based on node proximity to the base station (BS) to optimize energy usage. Network performance is assessed using rounds, throughput, and energy usage. MATLAB simulations compare the proposed approach with dual layer LEACH (DL-LEACH) and LEACH, showing significant improvements in network lifetime. The proposed scheme outperforms LEACH by 515% and 347% for 20% and 50% node depletion, respectively. Compared to DL-LEACH, it extends network lifetime by 27% and 59% under similar scenarios. Sectoring, clustering, and multi-hop communication reduce energy consumption, enhancing network lifetime and addressing WSN challenges effectively.
  • Detection of Manipulated Multimedia In Digital Forensics Using Machine Learning
    Preetam Anvekar, Anand Gudnavar, Keerti Naregal, Sreedevi Nagarmunoli
    Proceedings 2nd IEEE International Conference on Device Intelligence Computing and Communication Technologies Dicct 2024, 2024
    The surge in digital media usage has spurred an uptick in multimedia manipulation., spanning images., videos., and audio. This manipulation., with its potential to spread misinformation and manipulate public opinion., poses serious threats. Detecting genuine from fake media is challenging due to the diverse tools employed. Consequently., cybercrime involving manipulated media is on the rise. Researchers are countering this issue with machine learning techniques., particularly Convolutional Neural Networks (CNNs). This paper presents an application leveraging CNN s to identify genuine and fake media., bolstered by results from experiments on real and manipulated datasets., yielding high accuracy and robustness. Deep learning models excel in detecting various manipulation types., positioning them as potent weapons against manipulated content proliferation. To ascertain the models' effectiveness., the study includes comprehensive validation., testing procedures., and robustness analyses against sophisticated manipulations., including adversarial attacks and deepfake variations. This research advances multimedia forensics., offering a holistic approach to detect manipulated media with deep learning models., underscoring CNN s' effectiveness in curbing manipulated content dissemination., and emphasizing the necessity of ongoing advancements to tackle the evolving multimedia manipulation landscape.
  • Novel Framework for Enhancing Data Quality using Data Correlation Factor in Wireless Sensor Network
    Anand Gudnavar, Dr. Manjanaik N
    International Journal of Computing and Digital Systems, 2022
  • Wireless Body Area Network: Communication Standards and Radio Technologies employed
    Anand Gudnavar, Keerti Naregal, Basavaraj Patil
    2022 IEEE North Karnataka Subsection Flagship International Conference Nkcon 2022, 2022
  • A Survey on Energy-Efficient MAC Protocols for Wireless Sensor Networks
    Anand Gudnavar, N. Manjanaik
    Lecture Notes in Electrical Engineering, 2021
  • Prolonged network lifetime to reduce energy consumption using cluster-based wireless sensor network
    Sagargouda S. Patil, Anand Gudnavar
    Smart Innovation Systems and Technologies, 2018
  • Energy efficient and reliable routing in densely distributed WSN
    Sagargouda S. Patil, Anand Gudnavar, K Chandan
    2017 2nd International Conference on Communication Systems Computing and IT Applications Cscita 2017 Proceedings, 2017
  • Improved cluster routing protocol for wireless sensor network through simplification
    Keerti Naregal, Anand Gudnavar
    2012 18th Annual International Conference on Advanced Computing and Communications Adcom 2012, 2012

RECENT SCHOLAR PUBLICATIONS

  • Deployment of Mobile Sensor Nodes for Enhancement of Coverage Area Through ANN Approach in Wireless
    K Moger, N Patil, B Madagouda, A Gudnavar
    Wireless Edge Computing in Internet of Everything: Proceedings of ICWCIE … , 2026
    2026
  • Advanced Perception and Path Planning for Autonomous Vehicles: A Survey on Deep Learning, Human-Centric Approaches, and Complex Road Navigation
    B Chougula, A Gudnavar, K Naregal
    2026 International Conference on Computing, Electronics & Communications … , 2026
    2026
  • AgriVision: Transforming Farming With Insights, Trade & Community
    A Barve, S kutre, R patil, A Gudnanvar
    INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS 14 (1) , 2026
    2026
  • Intelligent Resource Allocation in Cloud Using JADE Agents
    S Desai, S Patil, S Dabari, VB Hadapad, A Gudnavar
    Journal of Intelligent Decision Technologies and Applications 2 (3) , 2025
    2025
  • SWrenOA: SpiderWren Optimization Algorithm with Multi-objectives for Agent-based Aggregation of Cloud Web Service Selection.
    SR Nagarmunoli, U Patil, A Gudnavar
    International Journal of Intelligent Engineering & Systems 18 (11) , 2025
    2025
  • Cyber Threat Detection and Analysis Using Dual-Layered Approach
    A Gudnavar, K Naregal, BK Madagouda
    Journal of Computer Information Systems, 1-18 , 2025
    2025
    Citations: 1
  • Secure Communication in WSN-Based VANETs Using IoT and Elliptic Curve Cryptography
    R Maggavi, B Patil, A Gudnavar, K Naregal
    2025 Global Conference on Information Technology and Communication Networks … , 2025
    2025
  • A Web-Based Public Grievance Redressal System with Image and Geolocation Support
    PM Javali, K Naregal, A Gudnavar, S Athanikar, S Shinde
    2025 International Conference on Smart & Sustainable Technology (INCSST), 1-6 , 2025
    2025
  • Service Aware QoS Based Multi-Criteria Cloud Service Provider Recommender System for Cloud Self-Service Provisioning
    SR Nagarmunoli, U Patil, A Gudnavar
    2025 International Conference on Smart & Sustainable Technology (INCSST), 1-6 , 2025
    2025
  • Bank Form Automation Using AI-Powered Speech Recognition and Transliteration in Kannada
    J Ananya, S Ratnoji, P Sutar, A Gudnavar, B Patil
    2025 International Conference on Smart & Sustainable Technology (INCSST), 1-6 , 2025
    2025
  • Throughput Optimization in Wireless Sensor Networks: Techniques, Challenges, and Future Directions
    V Hiremath, S Kerur, A Gudnavar
    International Journal of Digital Technology and Network Security System 1 (2) , 2025
    2025
  • Fuzzy Logic-Based Model for Reducing End-to-End Delay and Enhancing Packet Delivery Ratio in Wireless Sensor Networks
    V Hiremath, S Kerur, A Gudnavar
    International Journal of Satellite-Based Communication and Wireless Networks … , 2025
    2025
  • AI-based Model for Improving the Network Lifetime of Wireless Sensor Networks (WSNs)
    V Hiremath, S Kerur, A Gudnavar
    International Journal of Satellite-Based Communication and Wireless Networks … , 2025
    2025
  • A Comparative Analysis of CNN and YOLOv8 for Real-Time Traffic Sign Detection
    V Ghodageri, B Madagouda, N Angadi, A Gudnavar, S Patil
    2025 6th International Conference for Emerging Technology (INCET), 1-7 , 2025
    2025
  • Efficient Smart Public Transit System Using RFID and IoT integration with MERN web applications
    K Madasanal, A Gudnavar, S Nagarmunoli, B Madagouda, K Naregal
    2025 International Conference on Computer, Electrical & Communication … , 2025
    2025
    Citations: 2
  • Deployment of Mobile Sensor Nodes for Enhancement of Coverage Area Through ANN Approach in Wireless Sensor Networks
    K Moger, N Patil, B Madagouda, A Gudnavar, B Fadanis
    International Conference on Wireless Communication and Internet of … , 2024
    2024
  • Next-generation Wireless Sensor Networks: Innovations in Data Quality, Data Aggregation and MAC Protocols, Edition 1
    A Gudnavar, P Sonwalkar, K Naregal
    Next-generation Wireless Sensor Networks: Innovations in Data Quality, Data … , 2024
    2024
  • Energy efficient routing protocol for enhancing the network lifetime in wireless sensor network
    V Hiremath, S Kerur, A Gudnavar
    Indonesian Journal of Electrical Engineering and Computer Science 35 (2 … , 2024
    2024
  • Evaluation of Correlation-Based Data Aggregation Approaches in Sensor Networks: Effectiveness and Challenges
    A Gudnavar, V Dalal, R Maggavi, V Hiremath
    Research Updates in Mathematics and Computer Science 4, 123–140 , 2024
    2024
  • Detection of manipulated multimedia in digital forensics using machine learning
    P Anvekar, A Gudnavar, K Naregal, S Nagarmunoli
    2024 2nd International Conference on Device Intelligence, Computing and … , 2024
    2024
    Citations: 6

MOST CITED SCHOLAR PUBLICATIONS

  • Improved cluster routing protocol for wireless sensor network through simplification
    K Naregal, A Gudnavar
    2012 18th International Conference on Advanced Computing and Communications … , 2012
    2012
    Citations: 25
  • Leach-Ex Protocol -A Comparative Performance Study And Analysis With Leach Variants Of Wireless Sensor Networks
    A Gudnavar, D Balakrishna R, K Naregal
    National Conference on “Frontiers & Advances in Information Science and … , 2013
    2013
    Citations: 9
  • Detection of manipulated multimedia in digital forensics using machine learning
    P Anvekar, A Gudnavar, K Naregal, S Nagarmunoli
    2024 2nd International Conference on Device Intelligence, Computing and … , 2024
    2024
    Citations: 6
  • A Survey on Energy-Efficient MAC Protocols for Wireless Sensor Networks
    A Gudnavar, N Manjanaik, .
    Lecture Notes in Electrical Engineering 750, 177-188 , 2021
    2021
    Citations: 6
  • Novel Framework for Enhancing Data Quality using Data Correlation Factor in Wireless Sensor Network
    A Gudnavar
    International Journal of Computing and Digital Systems 12 (1), 723-730 , 2022
    2022
    Citations: 5
  • Wireless Body Area Network: Communication Standards and Radio Technologies employed
    A Gudnavar, K Naregal, B Patil
    2022 IEEE North Karnataka Subsection Flagship International Conference … , 2022
    2022
    Citations: 4
  • Exploring an Effectiveness & Pitfalls of Correlational-based Data Aggregation Approaches in Sensor Network
    A Gudnavar, Rajashekhara
    International Journal of Wireless and Microwave Technologies(IJWMT) 7 (2), 44-56 , 2017
    2017
    Citations: 4
  • Edge Computing in Internet of Things (IoT): Enhancing IoT Ecosystems through Distributed Intelligence
    A Gudnavar, K Naregal
    Advancement of IoT in Blockchain Technology and its Applications 2 (3), 1-7 , 2023
    2023
    Citations: 3
  • Efficient Smart Public Transit System Using RFID and IoT integration with MERN web applications
    K Madasanal, A Gudnavar, S Nagarmunoli, B Madagouda, K Naregal
    2025 International Conference on Computer, Electrical & Communication … , 2025
    2025
    Citations: 2
  • Cyber Threat Detection and Analysis Using Dual-Layered Approach
    A Gudnavar, K Naregal, BK Madagouda
    Journal of Computer Information Systems, 1-18 , 2025
    2025
    Citations: 1
  • Energy efficient and reliable routing in densely distributed WSN
    SS Patil, A Gudnavar, K Chandan
    2017 2nd International Conference on Communication Systems, Computing and IT … , 2017
    2017
    Citations: 1
  • Customized Door Lock System
    T Diggewadi, S Patil, NM Khan, A Gudnavar
    International Advanced Research Journal in Science, Engineering and Technology , 2017
    2017
    Citations: 1
  • Deployment of Mobile Sensor Nodes for Enhancement of Coverage Area Through ANN Approach in Wireless
    K Moger, N Patil, B Madagouda, A Gudnavar
    Wireless Edge Computing in Internet of Everything: Proceedings of ICWCIE … , 2026
    2026
  • Advanced Perception and Path Planning for Autonomous Vehicles: A Survey on Deep Learning, Human-Centric Approaches, and Complex Road Navigation
    B Chougula, A Gudnavar, K Naregal
    2026 International Conference on Computing, Electronics & Communications … , 2026
    2026
  • AgriVision: Transforming Farming With Insights, Trade & Community
    A Barve, S kutre, R patil, A Gudnanvar
    INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS 14 (1) , 2026
    2026
  • Intelligent Resource Allocation in Cloud Using JADE Agents
    S Desai, S Patil, S Dabari, VB Hadapad, A Gudnavar
    Journal of Intelligent Decision Technologies and Applications 2 (3) , 2025
    2025
  • SWrenOA: SpiderWren Optimization Algorithm with Multi-objectives for Agent-based Aggregation of Cloud Web Service Selection.
    SR Nagarmunoli, U Patil, A Gudnavar
    International Journal of Intelligent Engineering & Systems 18 (11) , 2025
    2025
  • Secure Communication in WSN-Based VANETs Using IoT and Elliptic Curve Cryptography
    R Maggavi, B Patil, A Gudnavar, K Naregal
    2025 Global Conference on Information Technology and Communication Networks … , 2025
    2025
  • A Web-Based Public Grievance Redressal System with Image and Geolocation Support
    PM Javali, K Naregal, A Gudnavar, S Athanikar, S Shinde
    2025 International Conference on Smart & Sustainable Technology (INCSST), 1-6 , 2025
    2025
  • Service Aware QoS Based Multi-Criteria Cloud Service Provider Recommender System for Cloud Self-Service Provisioning
    SR Nagarmunoli, U Patil, A Gudnavar
    2025 International Conference on Smart & Sustainable Technology (INCSST), 1-6 , 2025
    2025