Prof. Dr R VADIVEL

Scopus Publications

Emerging AI techniques for advanced sentiment analysis: A comprehensive survey
S. Stephen, R. Vadivel
Aip Conference Proceedings, 2026
Tour Path Scheduling Using Optimized Deep Reinforcement Learning for IoT Mobile Data Collectors
P. Kalyana Sundari, R. Vadivel
International Journal of Communication Systems, 2026
In Internet of Things (IoT)–based wireless sensor network (WSN), mobile data collectors (MDCs), which move over various geographic regions to transport data from sensors to access points, are thought to be a more effective way than the traditional data collection techniques employing static sinks. The direct transfer of data from all sensors to the base station would be inefficient given the energy constraints on the sensor node. This is a result of the data redundancy brought about by nearby sensors' relatively strong correlation. Moreover, base stations are unable to handle the enormous volumes of data produced by a larger sensor network. In order to integrate data and generate meaningful information at sensors or intermediate nodes, specific networks are therefore needed. In this paper, tour path scheduling using optimized deep reinforcement learning (DRL) for MDCs in IoT‐WSN. The DRL algorithm schedules the visiting pattern of the MDCs based on the type of IoT sensors and their data generation rates. To accelerate the convergence speed of DRL, sunflower optimization (SFO) algorithm is used. Then, optimum tour paths are determined using Capuchin Search Algorithm (CapSA) based on path stability and data collection latency. Simulation results have shown that DRL–SFO–CapSA minimizes the data collection delay and packet drop while maximizing the packet delivery ratio and residual energy.
Fuzzy Based Node-to-Node (N2N) and Intercluster Authentication Framework for External Attacks in UWSN
Jocil D, R. Vadivel
International Journal of Communication Systems, 2025
In underwater wireless sensor networks (UWSNs), there is a need for providing security against internal and external attacks, apart from ensuring reliable data delivery. Due to the high computation cost and the low computing capabilities of UWSN, all present methods of device‐based identity authentication must be performed at the network layer and other layers. The main objective of this work is to protect the data against physical layer attacks using lightweight authentication techniques. In this paper, a fuzzy‐based node‐to‐node and intercluster authentication (Fuzzy‐N2N‐ICA) framework for UWSN has been proposed. Initially, the network is clustered using the minimum average routing path (MARP) algorithm. In N2N authentication technique, the cluster head (CH) collects the network layer and physical layer features from each node. It then determines the deviation index based on these cross‐layer metrics by applying a fuzzy‐logic decision model. Based on the determined deviation index, the corresponding node is authenticated as honest or malicious. In the intercluster authentication phase, each CH creates an authentication key using the secret key obtained from an offline trusted third party. When the aggregated data is received from a source CH, other CHs and the sink node perform authentication. Simulation outcomes have shown that the Fuzzy‐N2N‐ICA framework minimizes the miss detection ratio, authentication time, computational cost, energy consumption, and maximizes the correctness of packet delivery.
Resilient and Self-Healing Wireless Communication Using SQUIMONET for Energy-Efficient and Role-Aware WSNs
R. Karthikeyan, R. Vadivel
International Journal of Computer Networks and Applications, 2025
Fuzzy-Markov Routing Policy and Priority-Based Load Balancing for Cognitive Radio Ad Hoc Networks
S. Sindhuja, R. Vadivel
International Journal of Communication Systems, 2025
A cognitive radio ad hoc network (CRAHNs) is an infrastructure‐free network containing a cognitive radio, which can use the spectrum resources effectively through an adaptive change of parameter settings and decision‐making. Hence, it enhances the spectrum efficacy for satisfying the growing mobile traffic requests. In multihop CRAHNs, in order to ensure a reliable transmission and energy efficiency, the routing protocol should consider the metrics of channel quality, link stability, and energy consumption. In this paper, a Fuzzy‐Markov routing policy and priority‐based load balancing algorithm (FMRP‐PLB) for CRAHNs is designed. In this protocol, a combined routing metric is derived using delay, energy rate, and link expiration time metrics. For modeling the channel state, a Fuzzy‐Markov decision model is designed, in which the channel states and spectrum availabilities of SU are modeled as state transition matrices. Then, optimum routing decisions are made using the combined routing metric and the predicted transmission success probability. A load balancing metric (LBM) is derived in terms of available link capacity, remaining buffer size of node, and back‐off delay. During data transmission, based on the traffic priority and measured levels of LBM, the optimum paths are selected. Simulation results using NS2 suggest that FMRP‐PLB attains an increased packet delivery ratio with reduced delay and energy consumption.
Optimizing resource allocation in intelligent communication networks: Fundamentals and challenges
S. Mayukha, R. Vadivel
Machine Learning for Radio Resource Management and Optimization in 5g and Beyond, 2025
As intelligent communication networks continue to evolve, the efficient allocation of resources becomes paramount for ensuring optimal performance and resource utilization. This chapter delves into the fundamental principles and challenges associated with resource allocation in intelligent communication networks. It begins by providing an overview of the evolving landscape of communication networks, highlighting the integration of intelligent technologies such as machine learning, artificial intelligence, and automation. This chapter explores the role of intelligent resource allocation techniques in enhancing network efficiency, reliability, and scalability. It discusses various approaches to resource allocation, including dynamic spectrum allocation, power control, and tragic management, in both traditional and emerging network architectures such as 5G and beyond. Furthermore, it addresses the complexities introduced by diverse network environments, heterogeneous devices, and dynamic user demands. Key challenges in resource allocation are examined, including the trade-offs between performance metrics such as throughput, latency, and energy consumption, as well as the need for adaptive and scalable solutions to accommodate the ever-changing network conditions. This chapter also discusses the integration of novel technologies like edge computing and blockchain to further optimize resource allocation strategies. By elucidating the fundamentals and challenges of resource allocation in intelligent communication networks, this chapter aims to provide researchers, practitioners, and students with valuable insights into designing efficient and resilient communication systems for the future.
A Secure Transition Perspective on the Expectations and Benefits of Quantum Networks Over Classical Networks
S. Mayukha, R. Vadivel
Quantum Computing and Artificial Intelligence the Industry Use Cases, 2025
Quantum computing is the next big thing in information technology. The possibilities of the quantum computing realm are unfathomable. Quantum computing would help humanity perform complex extreme functionalities even faster, better, and more accurately. Right now, there are so many expectations from quantum computing without even understanding the paradoxes of the quantum functionalities. This chapter deals with one such paradox related to quantum networking and its predecessor—classical networks. This also opens up the field of secure communication with safe encryption. The safety of data in the classical network is questionable in a post-quantum computing and networking scenario. The encryptions that are now safe and uncrackable in classical networking would be easy to crack in a post-quantum computing scenario. Since quantum computing helps accelerate the functionalities and its processes, think of a scenario where a password brute forcing that normally takes 3–4 days to complete will be done in 2–3 hours in quantum computing. Every platform would be in danger if quantum computing is mastered by the threat actors before the vendors could provide a quantum-proof way of accessing the content or software. Zero-day exploits would dominate the post-quantum computing time if the proper implementation of encryption, storage, and transmission with safety features is not completed. This would make a similar occasion where the classical computers faced a challenging situation with the Year 2000 Problem (Y2K Problem). The Y2K problem happened because the computers were not ready or taught to cope with the time progression. The classical computers started displaying 1900 instead of 2000. This might seem like a small problem now, but in that milieu, the people panicked and started a computer-induced apocalypse. This mainly happened because there was no clarity on what the future would hold. All the non-experts started misdirecting the management that rectifying the Y2K problem would take billions of dollars. This led to lots of confusion and people stocking up on food and firearms. This caused lots of frenzies and pushed people to the edge of antipathy towards computers. The community now for information technology is proactive. Hence, as a user-centric community, the community must have an amalgamation for post-quantum computing, so that the transition from classical computing to quantum computing is safe, fast, and reliable. This chapter furnishes the challenges of a post-quantum computing scenario from a security perspective and explains the difference and ill effects of transitioning from classical computing and classical networking to quantum computing and quantum networking.
An approach based on hexagram model for quantifying security risks with Performance Key Indicators (PKI)
Mayukha S, R Vadivel
Computers and Electrical Engineering, 2024
Boosted Mutated Corona Virus Optimization Routing Protocol (BMCVORP) for Reliable Data Transmission with Efficient Energy Utilization
R. Karthikeyan, R. Vadivel
Wireless Personal Communications, 2024
A Fundamental Overview in Cybersecurity: Prevention and Mitigation of Cyberattacks for Securing Cyberspace
Leveraging Artificial Intelligence Ai Competencies for Next Generation Cybersecurity Solutions, 2024
Network Security Risks and Solutions Through Automated Toolkits in Underwater Sensor Network: A Survey
Leveraging Artificial Intelligence Ai Competencies for Next Generation Cybersecurity Solutions, 2024
Underwater Wireless Sensor Network Risk Analysis, Security, and Mitigation Policies
D. Jocil, R. Vadivel
Aip Conference Proceedings, 2023
Identifying and assessing risk factors to lower hazards in cyber security penetration testing
Mayukha Selvaraj, R. Vadivel
Risk Detection and Cyber Security for the Success of Contemporary Computing, 2023
Retraction Note to: Design of an effectual node balancing cluster with partitioner algorithm using Markov decision process (Journal of Ambient Intelligence and Humanized Computing, (2021), 12, 5, (4809-4817), 10.1007/s12652-020-01891-6)
W. Rose Varuna, R. Vadivel
Journal of Ambient Intelligence and Humanized Computing, 2023
Proficient Dazzling Crow Optimization Routing Protocol (PDCORP) for Effective Energy Administration in Wireless Sensor Networks
R. Karthikeyan, R. Vadivel
IEEE International Conference on Electrical Electronics Communication and Computers Elexcom 2023, 2023
Network Security Risks, Challenges, and Solutions for Underwater Wireless Sensor Network’s Trusted Node-to-Node Communication: A Survey
D. Jocil, R. Vadivel
Lecture Notes in Networks and Systems, 2023
Reconnaissance for Penetration Testing Using Active Scanning of MITRE ATT&CK
S. Mayukha, R. Vadivel
Lecture Notes in Networks and Systems, 2023
SPECTRAL UNMIXING OF HYPERSPECTRAL IMAGES USING MULTI-OBJECTIVE LION-RIDER OPTIMIZATION TECHNIQUE
Journal of Theoretical and Applied Information Technology, 2022
Analyzing the Effectiveness of TCA-CBB by Comparing Various VANET Broadcasting Algorithms in Terms of Quality of Service
S. Sumithra, R. Vadivel
Wireless Personal Communications, 2022
MULTI-OBJECTIVE RIDER BASED ELEPHANT HERD OPTIMIZATION FOR SPECTRAL UNMIXING OF HYPERSPECTRAL IMAGES
Journal of Theoretical and Applied Information Technology, 2022
SPECTRAL UNMIXING WITH HYPERSPECTRAL IMAGES: A MULTI-OBJECTIVE LION OPTIMIZATION APPROACH
Journal of Theoretical and Applied Information Technology, 2022
Port Scanning Mitigation Strategies for Penetration Testing: Blue Team Perspective
R. Vadivel, S. Mayukha
8th International Conference on Engineering and Emerging Technologies Iceet 2022, 2022
Constrained Cuckoo Search Optimization Based Protocol for Routing in Cloud Network
J. Ramkumar, R. Vadivel, B. Narasimhan
International Journal of Computer Networks and Applications, 2021
Multi-Adaptive Routing Protocol for Internet of Things based Ad-hoc Networks
J. Ramkumar, R. Vadivel
Wireless Personal Communications, 2021
Whale optimization routing protocol for minimizing energy consumption in cognitive radio wireless sensor network
J. Ramkumar, R. Vadivel
International Journal of Computer Networks and Applications, 2021
Design of an effectual node balancing cluster with partitioner algorithm using Markov decision process
W. Rose Varuna, R. Vadivel
Journal of Ambient Intelligence and Humanized Computing, 2021
Ensemble miscellaneous classifiers based misbehavior detection model for vehicular ad-hoc network security
S. Sumithra, R. Vadivel
International Journal of Computer Networks and Applications, 2021
An optimal innovation based adaptive estimation Kalman filter for accurate positioning in a vehicular ad-hoc network
S. Sumithra, R. Vadivel
International Journal of Applied Mathematics and Computer Science, 2021
Recent Trends in Potential Security Solutions for SD-WAN: A Systematic Review
W. Rose Varuna, R. Vadivel
Lecture Notes in Networks and Systems, 2021
Traffic Condition Aware Customized Beacon Broadcasting (TCA-CBB) Method for Efficient Broadcasting in VANET
S. Sumithra, R. Vadivel
Journal of Engineering Science and Technology Review, 2021
A Comprehensive Analysis over Controller Placement and Network Expansion in SD-WAN
W. Rose Varuna, R. Vadivel
Lecture Notes in Networks and Systems, 2021
Intelligent Fish Swarm Inspired Protocol (IFSIP) for Dynamic Ideal Routing in Cognitive Radio Ad-Hoc Networks
Ramkumar Jaganathan, Ramasamy Vadivel
International Journal of Computing and Digital Systems, 2021
Design of multi-agent multi aggregator (M-ma) for the distributed wide area network
Rose Varuna W., Vadivel R.
Indian Journal of Computer Science and Engineering, 2020
Improved Wolf prey inspired protocol for routing in cognitive radio Ad Hoc networks
J. Ramkumar, R. Vadivel
International Journal of Computer Networks and Applications, 2020
Extensible Particle Swarm Optimization Technique Using Route Set Choosing Algorithm in MANET
S. Sindhuja, Dr. R. Vadivel
International Conference on Emerging Trends in Information Technology and Engineering Ic Etite 2020, 2020
A Study on Intrusion Detection System of Mobile Ad-hoc Networks
S. Sindhuja, R. Vadivel
Advances in Intelligent Systems and Computing, 2020
Ant colony optimization based grouped origin routing (ACGOR) technique using trustable node convention algorithm in MANET
Sindhuja S.
Journal of Advanced Research in Dynamical and Control Systems, 2020
QoS-enabled improved cuckoo search-inspired protocol (ICSIP) for IoT-based healthcare applications
R. Vadivel, J. Ramkumar
Incorporating the Internet of Things in Healthcare Applications and Wearable Devices, 2019
Abcip: Artificial bee colony inspired protocol for routing in flying ad-hoc network
N. Karthikeyan, , Dr. R. Vadivel, and
International Journal of Recent Technology and Engineering, 2019
Flexible particle swarm optimization based routing protocol to reduce energy consumption in mobile ad-hoc network
International Journal of Recent Technology and Engineering, 2019
NB-FTBM Model for Entity Trust Evaluation in Vehicular Ad Hoc Network Security
S. Sumithra, R. Vadivel
Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst, 2019
Performance modeling of bio-inspired routing protocols in Cognitive Radio Ad Hoc Network to reduce end-to-end delay
Ramkumar Jaganathan, , Vadivel Ramasamy, and
International Journal of Intelligent Engineering and Systems, 2019
An Overview of Various Trust Models for VANET Security Establishment
S. Sumithra, R. Vadivel
2018 9th International Conference on Computing Communication and Networking Technologies Icccnt 2018, 2018
Improved frog leap inspired protocol (IFLIP) – for routing in cognitive radio ad hoc networks (CRAHN)
Ramkumar J., Vadivel R.
World Journal of Engineering, 2018
Syllable Segmentation of Tamil Speech Signals Using Vowel Onset Point and Spectral Transition Measure
K. Geetha, R. Vadivel
Automatic Control and Computer Sciences, 2018
Adaptive reliable and congestion control routing protocol for MANET
R. Vadivel, V. Murali Bhaskaran
Wireless Networks, 2017
CSIP—cuckoo search inspired protocol for routing in cognitive radio ad hoc networks
J. Ramkumar, R. Vadivel
Advances in Intelligent Systems and Computing, 2017
A reliable flooding mechanism for mobile ad-hoc networks
R. Vadivel, B. Narasimhan
Proceedings 2014 International Conference on Intelligent Computing Applications Icica 2014, 2014
Adaptive reliable routing protocol using combined link stability estimation for mobile ad hoc networks
R. Vadivel, V. Murali Bhaskaran, Swapan Paruya, Samarjit Kar, Suchismita Roy
Aip Conference Proceedings, 2010

RECENT SCHOLAR PUBLICATIONS

Emerging AI techniques for advanced sentiment analysis: A comprehensive survey
S Stephen, R Vadivel
AIP Conference Proceedings 3410 (1), 020003 , 2026
2026
Tour Path Scheduling Using Optimized Deep Reinforcement Learning for IoT Mobile Data Collectors
PK Sundari, R Vadivel
International Journal of Communication Systems 39 (4), e70402 , 2026
2026
Fuzzy Based Node-to-Node (N2N) and Intercluster Authentication Framework for External Attacks in UWSN
D Jocil, R Vadivel
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 38 (16) , 2025
2025
A Secure Transition Perspective on the Expectations and Benefits of Quantum Networks Over Classical Networks
S Mayukha, R Vadivel
Quantum Computing and Artificial Intelligence: The Industry Use Cases, 331-371 , 2025
2025
Citations: 3
Optimizing resource allocation in intelligent communication networks: Fundamentals and challenges
S Mayukha, R Vadivel
Machine Learning for Radio Resource Management and Optimization in 5G and … , 2025
2025
Citations: 3
Fuzzy‐Markov Routing Policy and Priority‐Based Load Balancing for Cognitive Radio Ad Hoc Networks
S Sindhuja, R Vadivel
International Journal of Communication Systems 38 (1), e6085 , 2025
2025
Citations: 1
Network security risks and solutions through automated toolkits in underwater sensor network: A survey
D Jocil, R Vadivel
Leveraging Artificial Intelligence (AI) Competencies for Next-Generation … , 2024
2024
Citations: 3
A Fundamental Overview in Cybersecurity: Prevention and Mitigation of Cyberattacks for Securing Cyberspace
S Mayukha, R Vadivel
Leveraging Artificial Intelligence (AI) Competencies for Next-Generation … , 2024
2024
An approach based on hexagram model for quantifying security risks with Performance Key Indicators (PKI)
S Mayukha, R Vadivel
Computers and Electrical Engineering 116, 109135 , 2024
2024
Citations: 3
Boosted Mutated Corona Virus Optimization Routing Protocol (BMCVORP) for reliable data transmission with efficient energy utilization
R Karthikeyan, R Vadivel
Wireless Personal Communications 135 (4), 2281-2301 , 2024
2024
Citations: 12
Optimized water management for precision agriculture using IoT-based smart irrigation system
A Kanimozhi, R Vadivel
World J. Adv. Res. Rev 21, 802-811 , 2024
2024
Citations: 10
Sensorsync auto: Integrating IoT sensors for smart vehicle air quality monitoring
S NLP, NR Vadivel
World Journal of Advanced Research and Reviews 21 (3), 495-502 , 2024
2024
Citations: 2
Underwater wireless sensor network risk analysis, security, and mitigation policies
D Jocil, R Vadivel
AIP Conference Proceedings 2916 (1), 070002 , 2023
2023
Review Rating Prediction Using Attention Bi-directional Gated Recurrent Unit with Domain Based Word Embedding
S Velusamy, R Vadivel
International Conference on Intelligent Vision and Computing, 231-240 , 2023
2023
Predator an Innovative Routing Protocol for Efficient Node Exploration and Faulty Link Detection in Wireless Sensor Network Environments
R Karthikeyan, R Vadivel
International Conference on Intelligent Vision and Computing, 162-173 , 2023
2023
Proficient dazzling crow optimization routing protocol (PDCORP) for effective energy administration in wireless sensor networks
R Karthikeyan, R Vadivel
2023 international conference on electrical, electronics, communication and … , 2023
2023
Citations: 17
Plant pesticide recommender application for remote villages using convolution neural network
J Keertheeswaran, R Vadivel
World Journal of Advanced Research and Reviews 18 (01), 511 - 519 , 2023
2023
Closed group private chat application with translation feature with firebase database
R Gobikrishnan, R Vadivel
World Journal of Advanced Research and Reviews 18 (01), 494 - 502 , 2023
2023
Trip budget prediction using multivariate linear regression algorithm in machine learning
S Indhumathi, R Vadivel
World Journal of Advanced Research and Reviews 18 (01), 609 - 617 , 2023
2023
Secured personal notes using face recognition-based decryption
KT Anshid, R Vadivel
World Journal of Advanced Research and Reviews 18 (01), 668 -672 , 2023
2023

MOST CITED SCHOLAR PUBLICATIONS

Multi-adaptive routing protocol for internet of things based ad-hoc networks
J Ramkumar, R Vadivel
Wireless Personal Communications 120 (2), 887-909 , 2021
2021
Citations: 77
Performance Modeling of Bio-Inspired Routing Protocols in Cognitive Radio Ad-Hoc Network to Reduce End-to-End Delay
RV J. Ramkumar
International Journal of Intelligent Engineering & Systems (IJIES) 12 (1 … , 2018
2018
Citations: 70
Intelligent Fish Swarm Inspired Protocol (IFSIP) For Dynamic Ideal Routing in Cognitive Radio Ad-Hoc Networks
RV J. Ramkumar
International Journal of Computing and Digital Systems (IJCDS) 10 (1), 1063-1064 , 2021
2021
Citations: 69
Improved frog leap inspired protocol (IFLIP)–for routing in cognitive radio ad hoc networks (CRAHN)
J Ramkumar, R Vadivel
World Journal of Engineering 15 (2), 306-311 , 2018
2018
Citations: 59
Whale optimization routing protocol for minimizing energy consumption in cognitive radio wireless sensor network
J Ramkumar, R Vadivel
network 1 (3), 2 , 2021
2021
Citations: 56
Improved Wolf prey inspired protocol for routing in cognitive radio Ad Hoc networks
J Ramkumar, R Vadivel
Int. J. Comput. Networks Appl 7 (5), 126-136 , 2020
2020
Citations: 56
Adaptive reliable and congestion control routing protocol for MANET
R Vadivel, VM Bhaskaran
Wireless Networks 23 (3), 819-829 , 2017
2017
Citations: 52
CSIP—cuckoo search inspired protocol for routing in cognitive radio ad hoc networks
J Ramkumar, R Vadivel
Computational Intelligence in Data Mining: Proceedings of the International … , 2017
2017
Citations: 46
QoS-enabled improved cuckoo search-inspired protocol (ICSIP) for IoT-based healthcare applications
R Vadivel, R Jaganathan
Incorporating the Internet of Things in healthcare applications and wearable … , 2020
2020
Citations: 44
Constrained Cuckoo Search Optimization Based Protocol for Routing in Cloud Network
BN J. Ramkumar, R.Vadivel
International Journal of Computer Networks and Applications (IJCNA) 8 (6 … , 2021
2021
Citations: 32
Energy efficient with secured reliable routing protocol (eesrrp) for mobile ad-hoc networks
R Vadivel, VM Bhaskaran
Procedia Technology 4, 703-707 , 2012
2012
Citations: 32
Bee inspired secured protocol for routing in cognitive radio ad hoc networks
J Ramkumar, R Vadivel
Indian J. Sci. Technol 13 (30), 3059-3069 , 2020
2020
Citations: 30
Meticulous elephant herding optimization based protocol for detecting intrusions in cognitive radio ad hoc networks
J Ramkumar, R Vadivel
Int. J. Emerg. Trends Eng. Res 8 (8) , 2020
2020
Citations: 28
An overview of various trust models for VANET security establishment
S Sumithra, R Vadivel
2018 9th International Conference on Computing, Communication and Networking … , 2018
2018
Citations: 24
Proficient dazzling crow optimization routing protocol (PDCORP) for effective energy administration in wireless sensor networks
R Karthikeyan, R Vadivel
2023 international conference on electrical, electronics, communication and … , 2023
2023
Citations: 17
Gallant Ant Colony Optimized Machine Learning Framework (GACO-MLF) for Quality of Service Enhancement in Internet of Things-Based Public Cloud Networking
J Ramkumar, R Vadivel, B Narasimhan, S Boopalan, B Surendren
International Conference on Data Science and Communication, 425-438 , 2023
2023
Citations: 13
Boosted Mutated Corona Virus Optimization Routing Protocol (BMCVORP) for reliable data transmission with efficient energy utilization
R Karthikeyan, R Vadivel
Wireless Personal Communications 135 (4), 2281-2301 , 2024
2024
Citations: 12
An Overview: Basic Concept of Network Simulation Tools
C Gayathri, R Vadivel
International Journal of Advanced Research in Computer and Communication … , 2017
2017
Citations: 11
Optimized water management for precision agriculture using IoT-based smart irrigation system
A Kanimozhi, R Vadivel
World J. Adv. Res. Rev 21, 802-811 , 2024
2024
Citations: 10
An optimal innovation based adaptive estimation Kalman filter for accurate positioning in a vehicular ad-hoc network
S Sumithra, R Vadivel
International Journal of Applied Mathematics and Computer Science 31 (1) , 2021
2021
Citations: 8

Prof. Dr R VADIVEL

EDUCATION

RESEARCH INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS