B. Padmini Devi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
B. Padmini Devi has a total of 12 co-authors. Here are the top co-authors by number of shared publications:
B. Madhusudhanan
1 shared publication- Bharathi Rengaraj
M. Kumarasamy College of Engineering, India
1 shared publication D. Vikram
Dr. Mahalingam College of Engineering and Technology
1 shared publication- Hussana Johar R. B.
ATME College of Engineering Mysore, VTU,Department of Computer Science and Engineering (AI ML),Belagavi,Karnataka,India,570028
1 shared publication - Kannadhasan Suriyan
Study World College of Engineering
1 shared publication M. S. Maharajan
Department of Computer Science and Engineering
1 shared publication
Latest Publications
- 1 August 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1277-1282
Insider Threat Detection in Lorawan-Based Iot Systems Using Isolation Forest
- 1 August 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1277-1282
Insider Threat Detection in Lorawan-Based Iot Systems Using Isolation Forest
- Open Access
- 20 December 2022
- Published by Wiley in Journal of Sensors
- Vol. 2022, 1-18
Predictive Model Techniques with Energy Efficiency for IoT-Based Data Transmission in Wireless Sensor Networks
Wireless sensor networks are limited by the vast majority of goods with limited resources. Power consumption, network longevity, throughput, routing, and network security are only a few of the research issues that have not yet been addressed in sensor networks based on the Internet of Things. Prior to becoming widely deployed, sensor networks built on the Internet of Things must overcome a variety of technological obstacles as well as general and specific hazards. In order to address the aforementioned problems, this research sought to improve rogue node detection, reduce packet latency/packet loss, increase throughput, and lengthen network lifetime. Wireless energy harvesting is suggested in the proposed three-layer cluster-based wireless sensor network routing protocol to extend the energy lifespan of the network. For the purpose of recognising and blacklisting risky sensor node behaviour, a three-tier clustering architecture with an integrated security mechanism is suggested. This clustering approach is cost-based, and the sink node selects the cluster and grid heads based on the cost function’s value. With its seemingly endless potential across a wide range of industries, including intelligent transportation, the Internet of Things (IoT) has gained prominence recently. To analyse the nodes and clustering strategies in IoT, the suggested method PSO is applied. A plethora of new services, programmes, electrical devices with integrated sensors, and protocols have been produced as a result of the Internet of Things’ explosive growth in popularity.
- 20 December 2022
- Published by Wiley in Journal of Sensors
- Vol. 2022, 1-18
Open AccessPredictive Model Techniques with Energy Efficiency for IoT-Based Data Transmission in Wireless Sensor Networks
Wireless sensor networks are limited by the vast majority of goods with limited resources. Power consumption, network longevity, throughput, routing, and network security are only a few of the research issues that have not yet been addressed in sensor networks based on the Internet of Things. Prior to becoming widely deployed, sensor networks built on the Internet of Things must overcome a variety of technological obstacles as well as general and specific hazards. In order to address the aforementioned problems, this research sought to improve rogue node detection, reduce packet latency/packet loss, increase throughput, and lengthen network lifetime. Wireless energy harvesting is suggested in the proposed three-layer cluster-based wireless sensor network routing protocol to extend the energy lifespan of the network. For the purpose of recognising and blacklisting risky sensor node behaviour, a three-tier clustering architecture with an integrated security mechanism is suggested. This clustering approach is cost-based, and the sink node selects the cluster and grid heads based on the cost function’s value. With its seemingly endless potential across a wide range of industries, including intelligent transportation, the Internet of Things (IoT) has gained prominence recently. To analyse the nodes and clustering strategies in IoT, the suggested method PSO is applied. A plethora of new services, programmes, electrical devices with integrated sensors, and protocols have been produced as a result of the Internet of Things’ explosive growth in popularity.
- 1 December 2016
- Published by American Scientific Publishers in Journal of Medical Imaging and Health Informatics
- Vol. 6 (8) , 1955-1960
Improving Security in Portable Medical Devices and Mobile Health Care System Using Trust
Mobile gadgets and tools are now present everywhere even within the healthcare as well as informatics domain, with several medical tools gaining portability. With incremental utilization of wireless devices, these are efficiently utilized to generate ad hoc networks. To generate networks, gadgets collaborate with one another resulting in lapse of security occasionally. The current work focuses on certain mechanisms for improving information delivery rates. Pathraters based on malicious node identification technique is included while trust is assessed not merely on the basis of maliciousness of systems but also on the basis of the gadget's features as well as capacities. Multi-path routing with partial information encryption is suggested for obviating information reconstructions by attacking nodes. The suggested trust system is tested through exhaustive simulations.
- 1 December 2016
- Published by American Scientific Publishers in Journal of Medical Imaging and Health Informatics
- Vol. 6 (8) , 1955-1960
Improving Security in Portable Medical Devices and Mobile Health Care System Using Trust
Mobile gadgets and tools are now present everywhere even within the healthcare as well as informatics domain, with several medical tools gaining portability. With incremental utilization of wireless devices, these are efficiently utilized to generate ad hoc networks. To generate networks, gadgets collaborate with one another resulting in lapse of security occasionally. The current work focuses on certain mechanisms for improving information delivery rates. Pathraters based on malicious node identification technique is included while trust is assessed not merely on the basis of maliciousness of systems but also on the basis of the gadget's features as well as capacities. Multi-path routing with partial information encryption is suggested for obviating information reconstructions by attacking nodes. The suggested trust system is tested through exhaustive simulations.