Leveraging AI and Speech Recognition Tools for Vocational Rehabilitation of Students With Developmental Disabilities From Education to Employment C. V. Suresh Babu, R. Logambigai, A. S. Akshaya Vocational Rehabilitation for Students with Developmental Disabilities Transition from Education to Employment, 2026 This study explores the integration of Artificial Intelligence (AI) and speech recognition tools in vocational rehabilitation programs for students with developmental disabilities. The primary objective is to assess the effectiveness of these technologies in enhancing personalized learning, improving communication skills, and facilitating the transition from education to employment. The target groups include students with developmental disabilities, educators, employers, and policymakers. A mixed-methods approach, combining qualitative and quantitative analysis, was used to evaluate the impact of AI-based assistive tools on skill development and workplace readiness. The findings indicate that AI-driven personalized learning enhances student engagement, while speech recognition technologies foster communication independence and accessibility in vocational training. The study underscores the necessity for interdisciplinary collaboration among educators, technologists, and policymakers to ensure equitable access to AI tools.
Smart Parking Safety and Surveillance System Using Computer Vision: Enhancing Urban Security Through In- Vehicle and Multi- View Monitoring C. V. Suresh Babu, R. Logambigai, Vaishnavee Hariharan, S. Lokesh, B. Sathya Dhatchini Enhancing Surveillance with Blockchain and Iot Drone Technology, 2026 This chapter presents a comprehensive framework for designing a Smart Parking Safety and Surveillance System leveraging computer vision technologies to enhance urban security. The objective is to automate and improve the monitoring of vehicles and pedestrians in parking environments using in-vehicle and multi-view camera systems. The approach employs OpenCV-based modules for pedestrian detection, lane and sign recognition, foreground–background extraction, and multi-camera tracking, integrated through a modular architecture. Sample lab exercises and system simulation demonstrate practical applicability. The findings indicate the system's potential to significantly reduce human error, improve vehicle tracking accuracy, and strengthen surveillance coverage in smart cities. The chapter concludes that such vision-enabled systems are integral to modern urban infrastructure, especially when aligned with emerging technologies like IoT and blockchain. The proposed model serves as a scalable foundation for future smart surveillance initiatives.
Quantum AI-enhanced virtual reality: Transforming the consumer experience C. V. Suresh Babu, R. Logambigai, R. Senthamilan, Franics A. Jeswin, Shajith N. Mohamed Quantum AI Era of Neuromarketing, 2024 This study explores the impact of Quantum AI and Virtual Reality (VR) on neuromarketing practices, aiming to understand their influence on consumer behavior and enhance marketing strategies. Utilizing a mixed-methods approach, the research incorporates qualitative analysis of case studies and quantitative assessments of consumer responses to VR-enhanced marketing campaigns. Key findings indicate that integrating Quantum AI and VR can significantly improve consumer engagement and satisfaction by creating immersive experiences tailored to individual preferences. The study concludes that these technologies not only offer innovative methods for marketers but also raise ethical considerations regarding consumer privacy and data security. The implications underscore the need for a structured framework to guide the ethical implementation of these technologies in marketing. This research contributes valuable insights into the future of neuromarketing and prepares marketers for emerging trends in the digital landscape.
Blockchain empowerment for securing iot sensory data in next-gen intelligent systems R. Logambigai, C. V. Suresh Babu Developments Towards Next Generation Intelligent Systems for Sustainable Development, 2024 This chapter, titled “Blockchain Empowerment for Securing IoT Sensory Data in Next-Gen Intelligent Systems,” systematically investigates the pivotal role of blockchain in safeguarding IoT sensory data, crucial for next-generation intelligent systems. Beginning with an elucidation of IoT sensory data and its significance, the chapter establishes a foundation for comprehending blockchain's role in ensuring the security of this sensitive information. Subsequent sections explore how blockchain technology offers a decentralized and secure framework, overcoming challenges posed by traditional centralized data management systems. Real-world examples shed light on the practical implications of immutable data records, emphasizing the contribution of Blockchain to advancing next-gen intelligent systems. Furthermore, the chapter explores additional use cases, emphasizing privacy-preserving techniques that enhance the secure management of IoT sensory data, providing a comprehensive understanding of the intersection between Blockchain and IoT security.
An Energy Efficient Routing Algorithm for WSNs Using Intelligent Fuzzy Rules in Precision Agriculture V. Pandiyaraju, R. Logambigai, Sannasi Ganapathy, Arputharaj Kannan Wireless Personal Communications, 2020 Many agricultural activities can be highly enhanced by using sensor networks and data mining techniques. One of these activities is the regulation of the quantity of water in cultivated fields. Moreover, wireless sensor network have become a more emerging technology in precision agriculture during the recent years. The important issue in the design of wireless sensor networks is the utilization of energy and to enhance the lifetime of the sensor nodes. In this paper, a new intelligent routing protocol has been proposed to improve the network lifetime and to provide energy efficiency in the routing process which is used to provide data to the irrigation system. This novel intelligent energy efficient routing protocol uses fuzzy rules and the protocol is called as Terrain based Routing using Fuzzy rules for precision agriculture. The fuzzy inference system developed in this work has been used to take decisions for routing. The system has been implemented and compared with two routing algorithms called Region Based Routing and Equalized Cluster Head Election Routing Protocol. The experimental results show that the proposed algorithm performs better than the other existing algorithms.
QoS Aware Trust Based Routing Algorithm for Wireless Sensor Networks Thangaramya Kalidoss, Logambigai Rajasekaran, Kulothungan Kanagasabai, Ganapathy Sannasi, Arputharaj Kannan Wireless Personal Communications, 2020 In Wireless Sensor Network (WSN), the lifetime optimization based on minimal energy consumption and security are the crucial issues for the effective design of protocols to perform multi-hop secure routing. In order to address these issues, we propose a new routing protocol called Secured Quality of Service (QoS) aware Energy Efficient Routing Protocol in this paper which is designed based on trust and energy modelling for enhancing the security of WSN and also to optimize the energy utilization. In this proposed work, the trust modelling uses an authentication technique with a key based security mechanism for providing trust scores. Moreover, three types of trust scores namely direct, indirect and overall trust scores are calculated in this work for enhancing the security of communication. In addition, a cluster based secure routing algorithm is proposed in this work in which the cluster head has been selected based on QoS metrics and trust scores to perform cluster based secure routing. Finally, the final path has been selected based on path-trust, energy and hop count to efficiently carry out the secure routing process. The proposed work has been assessed by simulations carried out using NS2 simulator. The simulation results demonstrate that the proposed algorithm provides better performance in terms of increase in packet delivery ratio, network life time and security. Moreover, it provides reduction in delay and energy consumption when the proposed secure routing algorithm is compared to the other related secure routing algorithms.
Energy conservation routing algorithm for wireless sensor networks using hybrid optimisation approach R. Logambigai, A. Kannan International Journal of Communication Networks and Distributed Systems, 2018 In designing wireless sensor network (WSN), the conversation of energy is an important issue to prolong the network lifetime. Most of the energy is wasted during transmission. To overcome this, an energy efficient routing protocol is proposed in this paper using a hybrid optimisation technique. Moreover, a nature inspired hybrid optimisation approach called bacterial swarm optimisation (BSO) is used in this work for energy optimisation in WSN. BSO is an amalgam of two optimisation techniques namely particle swarm optimisation (PSO) and bacterial foraging optimisation (BFO). BSO is used to identify the optimal next hop node for each gateway which in turn results in optimal route. The optimal relay nodes are selected based on lifetime of the gateways and distance in hops between gateways and base station. The results obtained from the simulation show that this proposed BSO based algorithm outperforms the other existing algorithm for routing.
Smart Parking Safety and Surveillance System Using R Logambigai, BS Dhatchini Enhancing Surveillance With Blockchain and IoT Drone Technology, 79 , 2026 2026
Leveraging AI and Speech Recognition Tools for Vocational Rehabilitation of Students With Developmental Disabilities From Education to Employment CVS Babu, R Logambigai, AS Akshaya Vocational Rehabilitation for Students with Developmental Disabilities … , 2026 2026
Smart Parking Safety and Surveillance System Using Computer Vision: Enhancing Urban Security Through In-Vehicle and Multi-View Monitoring CVS Babu, R Logambigai, V Hariharan, S Lokesh, BS Dhatchini Enhancing Surveillance With Blockchain and IoT Drone Technology, 79-116 , 2026 2026
Preserving Endangered Languages Through Visual Documentation: A Real-Time Document Scanner and Enhancer Using OpenCV CVS Babu, R Logambigai, G Aarthi, J Mahaasree, R Nijanthan Preserving, Documenting, and Revitalizing Surviving Dialects and Endangered … , 2026 2026
Quantum AI-Enhanced Virtual Reality: Transforming the Consumer Experience CVS Babu, R Logambigai, R Senthamilan, FA Jeswin, SN Mohamed The Quantum AI Era of Neuromarketing, 267-286 , 2025 2025
Blockchain Empowerment for Securing IoT Sensory Data in Next-Gen Intelligent Systems R Logambigai, CVS Babu Developments Towards Next Generation Intelligent Systems for Sustainable … , 2024 2024 Citations: 3
An Intelligent Air Conditioner Controller using Fuzzy Inference System AK R. Logambigai, G. Harini Indian Journal of Natural Sciences 14 (79), 679-688 , 2023 2023
A Two-Stage Intrusion Detection System using Machine Learning Approaches for IoT Networks AK R.Logambigai, B. Sandhya Indian Journal of Natural Sciences 14 (79), 618-626 , 2023 2023
An Efficient Data Compression Model for Wireless Sensor Networks Using Deep Learning Technique KA Logambigai R., Suba S. Journal of Emerging Technologies and Innovative Research (JETIR) 10 (6), 18-24 , 2023 2023
An energy efficient routing algorithm for WSNs using intelligent fuzzy rules in precision agriculture V Pandiyaraju, R Logambigai, S Ganapathy, A Kannan Wireless Personal Communications 112 (1), 243-259 , 2020 2020 Citations: 68
QoS aware trust based routing algorithm for wireless sensor networks T Kalidoss, L Rajasekaran, K Kanagasabai, G Sannasi, A Kannan Wireless Personal Communications 110 (4), 1637-1658 , 2020 2020 Citations: 190
Energy aware cluster and neuro-fuzzy based routing algorithm for wireless sensor networks in IoT K Thangaramya, K Kulothungan, R Logambigai, M Selvi, S Ganapathy, ... Computer networks 151, 211-223 , 2019 2019 Citations: 434
QoS Aware Trust Based Routing Algorithm for Wireless Sensor Networks Springer Science+ Business Media T Kalidoss, R Logambigai, K Kulothungan, S Ganapathy, K Arputharaj LLC, part of Springer Nature , 2019 2019
Energy–efficient grid–based routing algorithm using intelligent fuzzy rules for wireless sensor networks R Logambigai, S Ganapathy, A Kannan Computers & Electrical Engineering 68, 62-75 , 2018 2018 Citations: 126
Energy conservation routing algorithm for wireless sensor networks using hybrid optimisation approach R Logambigai, A Kannan International Journal of Communication Networks and Distributed Systems 20 … , 2018 2018 Citations: 16
An intelligent agent and FSO based efficient routing algorithm for wireless sensor network M Selvi, R Logambigai, S Ganapathy, HK Nehemiah, K Arputharaj 2017 second international conference on recent trends and challenges in … , 2017 2017 Citations: 16
An energy efficient clustering approach using spectral graph theory in wireless sensor networks K Thangaramya, R Logambigai, L SaiRamesh, K Kulothungan, A Kannan, ... 2017 Second International Conference on Recent Trends and Challenges in … , 2017 2017 Citations: 19
Fuzzy temporal approach for energy efficient routing in WSN M Selvi, R Logambigai, S Ganapathy, LS Ramesh, HK Nehemiah, ... Proceedings of the international conference on informatics and analytics, 1-5 , 2016 2016 Citations: 53
Fuzzy logic based unequal clustering for wireless sensor networks R Logambigai, A Kannan Wireless Networks 22 (3), 945-957 , 2016 2016 Citations: 296
Cluster Based Routing With Isolated Nodes in WSN AK R. Logambigai , S. Ganapathy International Journal for Research in Applied Science & Engineering … , 2016 2016 Citations: 7
MOST CITED SCHOLAR PUBLICATIONS
Energy aware cluster and neuro-fuzzy based routing algorithm for wireless sensor networks in IoT K Thangaramya, K Kulothungan, R Logambigai, M Selvi, S Ganapathy, ... Computer networks 151, 211-223 , 2019 2019 Citations: 434
Fuzzy logic based unequal clustering for wireless sensor networks R Logambigai, A Kannan Wireless Networks 22 (3), 945-957 , 2016 2016 Citations: 296
QoS aware trust based routing algorithm for wireless sensor networks T Kalidoss, L Rajasekaran, K Kanagasabai, G Sannasi, A Kannan Wireless Personal Communications 110 (4), 1637-1658 , 2020 2020 Citations: 190
Energy–efficient grid–based routing algorithm using intelligent fuzzy rules for wireless sensor networks R Logambigai, S Ganapathy, A Kannan Computers & Electrical Engineering 68, 62-75 , 2018 2018 Citations: 126
An energy efficient routing algorithm for WSNs using intelligent fuzzy rules in precision agriculture V Pandiyaraju, R Logambigai, S Ganapathy, A Kannan Wireless Personal Communications 112 (1), 243-259 , 2020 2020 Citations: 68
Fuzzy temporal approach for energy efficient routing in WSN M Selvi, R Logambigai, S Ganapathy, LS Ramesh, HK Nehemiah, ... Proceedings of the international conference on informatics and analytics, 1-5 , 2016 2016 Citations: 53
An energy efficient clustering approach using spectral graph theory in wireless sensor networks K Thangaramya, R Logambigai, L SaiRamesh, K Kulothungan, A Kannan, ... 2017 Second International Conference on Recent Trends and Challenges in … , 2017 2017 Citations: 19
Energy conservation routing algorithm for wireless sensor networks using hybrid optimisation approach R Logambigai, A Kannan International Journal of Communication Networks and Distributed Systems 20 … , 2018 2018 Citations: 16
An intelligent agent and FSO based efficient routing algorithm for wireless sensor network M Selvi, R Logambigai, S Ganapathy, HK Nehemiah, K Arputharaj 2017 second international conference on recent trends and challenges in … , 2017 2017 Citations: 16
QEER: QoS aware energy efficient routing protocol for wireless sensor networks R Logambigai, A Kannan 2014 Sixth international conference on advanced computing (ICoAC), 57-60 , 2014 2014 Citations: 15
Cluster Based Routing With Isolated Nodes in WSN AK R. Logambigai , S. Ganapathy International Journal for Research in Applied Science & Engineering … , 2016 2016 Citations: 7
Extending network lifetime using optimal transmission range in wireless sensor networks R Logambigai, K Thanigaivelu, K Murugan International Conference on Wireless Communications, Networking and Mobile … , 2012 2012 Citations: 7
Blockchain Empowerment for Securing IoT Sensory Data in Next-Gen Intelligent Systems R Logambigai, CVS Babu Developments Towards Next Generation Intelligent Systems for Sustainable … , 2024 2024 Citations: 3
Energy Efficient Mid Position Opportunistic Routing for Wireless Sensor Networks R Logambigai, S Ganapathy, A Kannan International Journal of Scientific Research in Science, Engineering and … , 2016 2016 Citations: 2
Relay node selection using fuzzy logic for wireless sensor networks' R Logambigai, S Ganapathy, A Kannan International Journal of Inder-disciplinary Research Centre 2 (3), 15-21 , 2016 2016 Citations: 1
Smart Parking Safety and Surveillance System Using R Logambigai, BS Dhatchini Enhancing Surveillance With Blockchain and IoT Drone Technology, 79 , 2026 2026
Leveraging AI and Speech Recognition Tools for Vocational Rehabilitation of Students With Developmental Disabilities From Education to Employment CVS Babu, R Logambigai, AS Akshaya Vocational Rehabilitation for Students with Developmental Disabilities … , 2026 2026
Smart Parking Safety and Surveillance System Using Computer Vision: Enhancing Urban Security Through In-Vehicle and Multi-View Monitoring CVS Babu, R Logambigai, V Hariharan, S Lokesh, BS Dhatchini Enhancing Surveillance With Blockchain and IoT Drone Technology, 79-116 , 2026 2026
Preserving Endangered Languages Through Visual Documentation: A Real-Time Document Scanner and Enhancer Using OpenCV CVS Babu, R Logambigai, G Aarthi, J Mahaasree, R Nijanthan Preserving, Documenting, and Revitalizing Surviving Dialects and Endangered … , 2026 2026
Quantum AI-Enhanced Virtual Reality: Transforming the Consumer Experience CVS Babu, R Logambigai, R Senthamilan, FA Jeswin, SN Mohamed The Quantum AI Era of Neuromarketing, 267-286 , 2025 2025
