Prabakaran R

@aubit.edu.in

Assistant Professor- Electrical and Electronics Engineering
Department of Electrical and Electronics Engineering, University College of Engineering, Bharathidasan Institute of Technology Campus, Anna University, Tiruchirappalli

Prabakaran R


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https://researchid.co/hiprabakaran

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Hardware and Architecture, Multidisciplinary, Software
36

Scopus Publications

714

Scholar Citations

10

Scholar h-index

10

Scholar i10-index

Scopus Publications

  • Multi-objective job scheduling in green cloud with big data: a hybrid heuristic approach for minimizing energy in datacenters
    Aarthee Selvaraj, Prabakaran Rajendran, Kanimozhi Rajangam, Sujatha Sundaram
    Intelligent Decision Technologies, 2025
    Job scheduling has become one of the most challenging issues in the research field of data centers within the cloud computing sector. Green cloud computing is a paradigm that employs efficient techniques to significantly reduce carbon emissions, CPU frequency scaling, and overall energy consumption. The large volume of data processed necessitates the consideration of data center strategies to mitigate energy consumption, along with other factors such as environmental impact, operational cost, and system reliability. Thus, this research aims to develop a new job scheduling scheme in a big data-assisted green cloud environment by formulating a multi-objective optimization problem that considers makespan, power consumption, latency, and resource utilization. For handling big data, the MapReduce framework is employed. To implement the green cloud, a Hybrid Firefly Water Strider Optimization (HFWSO) algorithm is developed by combining the Firefly Algorithm (FFA) and Water Strider Algorithm (WSA). This algorithm optimizes the number of servers and jobs allocated based on data volume, ensuring efficient job distribution across servers. Task scheduling is performed to solve a multi-objective function under various constraints. The makespan of the developed model is 148.3 s, energy consumption is 6.72 kWh, and resource utilization is 76.50%. Thus, the findings demonstrate that it effectively minimizes the energy consumption in data centers and also appropriately allocates jobs to machines. These comparative findings also reinforce the suitability of HFWSO as a powerful metaheuristic for multi-objective optimization in energy-efficient cloud computing environments, making it a promising candidate for practical applications requiring balanced trade-offs among makespan, energy consumption, latency, and resource utilization.
  • Energy-Efficient Secure Routing for a Sustainable Heterogeneous IoT Network Management
    Ashok Thangavelu, Prabakaran Rajendran
    Sustainability Switzerland, 2024
    The Heterogeneous Internet of Things (H-IoT) is considered as the upcoming industrial and academic revolution in the technological world, having billions of things and devices connected to the Internet. This H-IoT has a major issue of energy consumption during data transmission which leads to low scalability. Additionally, anomalies in the data create a serious threat to energy in H-IoT. To overcome these issues, a novel approach has been proposed in this study termed as the Energy-Efficient Memetic Clustering Method (EEMCM), which combines the Parallelized Memetic Algorithm (PMA) with the AlexNet architecture to improve anomaly detection efficiency in IoT WSNs. Initially, cluster formation and CH selection are carried out using PMA. This is followed by routing path generation, and the data are prepared for high-level feature extraction. The extracted features are classified to identify anomalies. For anomaly detection, high-level features were collected that contain data relevant to the model given as input into the AlexNet architecture, which detects anomalies and identifies normal or potential attacks within the IoT WSNs. The proposed EEMCM model has been implemented in the MATLAB platform and obtained an accuracy of 99.11%. As a result, the overall performance of the network is improved.
  • Artificial Neural Network Machine Learning Model for Malicious Action Detection and Prevention of MANET Assets
    G. Mani, R. Prabakaran
    2024 1st International Conference on Cognitive Green and Ubiquitous Computing IC Cgu 2024, 2024
    The main objective of this paper is to create a novel architecture of a machine learning model to identify and detect the malicious attacks occur in MANET statically and dynamically. Earlier research works have proposed various secured routing protocols for malicious activity detection whereas they are all detecting the attacker after the malicious action created in the network. However, the problem is, the MANET needs a novel method to identify and detect the malicious action to prevent the network, data, and other properties of the network. Hence this paper proposed an Artificial Neural Network model for learning, diagnosing, and detecting abnormal activities present in the MANET, and eliminate the corresponding actions and the node from the network function. Three different dataset is created in the network before and after deploying the nodes in the network, routing table, and intermediate node information input to ANN for analyzation. The simulation is created in NS-2 software and the results are verified based on the network performance with respect to remaining energy, throughput, packet delivery ratio, and packet loss. The performance of the ANN is evaluated by comparing its output with the other earlier methods and prove its efficiency.
  • A review on various energy sources and harvesting techniques in WSN
    K. Immanuvel Arokia James, R. Prabakaran, R. Kanimozhi
    International Journal of Advanced Intelligence Paradigms, 2023
  • A Novel Resource Scheduler for Resource Allocation and Scheduling in Big Data Using Hybrid Optimization Algorithm at Cloud Environment
    Aarthee Selvaraj, Prabakaran Rajendran, Kanimozhi Rajangam
    International Arab Journal of Information Technology, 2023
    Big Medical Data (BMD) is generated by cellular telephones, clinics, academics, suppliers, and organizations. Collecting, finding, analyzing, and managing the big data to make people's lives better, comprehending novel illnesses, and treatments, predicting results at initial phases, and making real-time choices are the actual issues in healthcare systems. Dealing with big medical data in resource scheduling is a major issue that aims to offer higher quality healthcare services. Hadoop MapReduce has been widely used for parallel processing of large data tasks and efficient job scheduling. The number of big data tasks is constantly growing; it is becoming more essential to minimize their energy usage to reduce the environmental effect and operating expenses. Hence to overcome these disadvantages, we propose a novel resource scheduler for big data using a Hybrid 2-GW Optimization Algorithm (H2-GWOA). We employ the Improved GlowWorm Swarm Optimization Algorithm (IGSOA) and Mean GreyWolf Optimization Algorithm (MGWOA) for optimizing the MapReduce framework in heterogeneous big data. The CloudSim platform was used for the simulations. The performance of the proposed scheduler is proved to be better than the conventional methods in terms of metrics like latency, makespan, resource utilization, skewness, and Central Processing Unit (CPU) consumption.
  • Load frequency control of a three-area power system based on the optimal tuning of a fractional-order proportional–integral–derivative controller with multi-objective gray wolf optimization
    B. Prakash Ayyappan, Dr. Kanimozhi R., and
    Journal of Engineering Research Kuwait, 2023
    In an interconnected electrical power system, load frequency control is a most important ancillary service essential for maintaining the electrical system reliability at an adequate level. A Multi-Objective Grey Wolf Optimization (MOGWO) algorithm is introduced for maintaining a balance among exploitation and exploration stages and provides the best value of fitness. During the occurrence of the disturbance in the output of the system the optimization is implemented with Firefly Algorithm (FFA) and MOGWO which is tuned carefully and also the parameters are compared with three-area three-source model of the power system. A Fractional Order Proportional and Derivative (FOPID) controller is a PID controller whose derivative and integral orders are fractional rather than integer. The FOPID controller supports the better stability of the designed model with controlled deviation in frequency and grid tie line power deviations. In this proposed research work, optimal tuning of parameters of various controllers like PI, PID and FOPID in the power system is to regulate frequency in a multi-area multi-source model which is designed with the hydro-thermal-gas generation units. The output performance of the model designed is estimated from simulation results by means of MATLAB-SIMULINK tool. The dynamic performances of the system are studied with 1% or 2% step load perturbation in one Area. Sensitivity analysis reveals that the FFA and MOGWO optimized FOPID controller parameters obtained at nominal condition of loading, size and position of disturbance and system parameters are robust and need not be reset with wide changes in system.The simulation results show the effectiveness of FOPID controller in the presence and the absence of the FF and MOGWO algorithms considered and in that MOGWO algorithm is executed appropriately and it has improved the performance based on metrics such as overshoot, undershoot, and settling time.
  • AGC of Multi Area Multi Source Restructured Electric Power System with Differential Evolution Algorithm based PID Controller
    B.Prakash Ayyappan, R. Kanimozhi, R. Prabakaran, R. Thanigaiselvan, B. Priya, et al.
    International Journal on Electrical Engineering and Informatics, 2023
    : In an interconnected multi-area deregulated power system, the dynamics of AGC depends on the frequency oscillations and variations in tie line power flow according to the bilateral contracts scheduled between GENCOs and DISCOs. This paper presents an algorithm for solving optimal power flow problem through the application of Differential Evolution. The optimal electric power flow is obtained by using DE method and the performance of the controller is investigated on a three-area interconnected power system consisting of Thermal-Thermal-Thermal unit in one area, Hydro-Thermal unit in the second area, and Thermal-Hydro unit in the third area. Simulation results have shown that the bilateral contracts are implemented in the system. The new Differential Evolution Algorithm (DEA) method is used for designing the concept of Automatic Generation Control (AGC) of hydro-thermal system which is under open market scenario. Open transmission access develops gradually with more socialized companies for generation, transmission and distribution which generally affect the formulation of AGC problem. The simulation results by the use of MATLAB simulink show the effectiveness of DE-PID controller considered and executed appropriately, which improves the performance based on metrics such as frequency and Tie line power deviations.
  • Energy-Aware Heuristic Scheduling Using Bin Packing MapReduce Scheduler for Heterogeneous Workloads Performance in Big Data
    S. Aarthee, R. Prabakaran
    Arabian Journal for Science and Engineering, 2023
  • Co-operative beam forming selection with energy balanced operation for wireless sensor network
    K. Immanuvel Arokia James, R. Prabakaran, A. Karthikeyan, R. R. Prianka
    Wireless Networks, 2022
  • Intracluster cooperative communication in smart home scenario through stable election protocol
    K. Immanuvel Arokia James, R. Prabakaran
    Concurrency and Computation Practice and Experience, 2021
    SummaryA wireless sensor network (WSN) can give a coordinated and minimal effort checking and control answer for such keen emotionally supportive systems. In this paper, we have discussed about the SEP in comparison with LEACH for smart home applications. Smart home scenario of an industry is taken into consideration in our research. The normal sink node is represented in the name of link node that connects the multiple sectors in the smart home scenario. In addition, it will act as a cluster head for the entire smart home setup. Moreover, the present research work proposes the plan of a low energy and high throughput and various levelled cluster‐based directing convention for smart home sensor organize application. Proposed protocol performs dynamic cluster head choice in light of various node qualities like node enduring energy, remoteness of the node from the link (sink), and average distance of the node from various neighbor nodes. Cluster head appropriation is even and brings about upgraded organization lifetime. Sensor nodes process the sense information utilizing nearby on‐board processors and exclude the repetitive information from transmission. In the final section, the energy level and the through put can be compared with the LEACH for getting a better understanding. The simulation results of the proposed technique clarify the energy consumed and the energy remaining in the stream. The energy will be measured in Joules. Moreover, the dead node will be tracked and intimated through our proposed work. The packet delivery and the delayed process of each and every node will be discussed in the proposed simulation result. The energy level remained will be calculated in Joules measurement. The SEP level will be more when compared with LEACH protocol. The energy level will be improved in case of SEP as 5, 10, 15, and 20 J/ ms.
  • Improvement of battery lifetime in software-defined network using particle swarm optimization based cluster-head gateway switch routing protocol with fuzzy rules
    Maria Antony Sahaya Sheela, Rajendran Prabakaran
    Computational Intelligence, 2020
  • Power quality improvement by UPQC using ANFIS-based hysteresis controller
    Rajendran Manivasagam, Rajendran Prabakaran
    International Journal of Operational Research, 2020
  • Photonic generation of frequency 16-tupling Millimeter wave signal using polarization property without an optical filter
    M. Baskaran, R. Prabakaran, T.Santhoshi Gayathri
    Optik, 2019
  • IOT Based Live Environmental Monitoring Using Embedded Sensors
    R. Kannadasan, R. Prabakaran, Namarata Galla, Kavuri Vamsi, Karan Balakrishna, et al.
    Proceedings of the International Conference on Inventive Communication and Computational Technologies Icicct 2018, 2018
  • Optical millimeter wave signal generation with frequency 16-tupling using cascaded mzms and no optical filtering for radio over fiber system
    M. Baskaran, R. Prabakaran
    Journal of the European Optical Society, 2018
  • Time Triggered Hybrid Scheduler with Dynamic Frequency Scaling for Distributed Real Time Embedded Systems
    V. Hemalatha, R. Prabakaran, S. Dhanalakshmi, A. Jaba Deva Krupa
    Wireless Personal Communications, 2017
  • Implementation of multilevel topology using 4 H-bridges
    L. Vigneshkumar, R. Prabakaran
    Proceedings of 2016 International Conference on Advanced Communication Control and Computing Technologies Icaccct 2016, 2017
  • Parallel investigation of different task schedulers at greencloud for energy consumption in datacenters
    S. Aarthee, R. Prabakaran
    Lecture Notes in Electrical Engineering, 2017
  • Photonic generation of microwave pulses using Stimulated Brillouin Scattering (SBS)-based carrier processing and data transmission for Radio over Fiber (RoF) systems
    M. Baskaran, R. Prabakaran
    Proceedings of the 2016 IEEE International Conference on Wireless Communications Signal Processing and Networking Wispnet 2016, 2016
  • Analysis of landmark based wireless sensor routing protocols
    International Journal of Control Theory and Applications, 2016
  • New design for FIR filter with optimization of speed and power using ASIC
    Asian Journal of Information Technology, 2016
  • Improved stereo matching algorithm for depth map calculation
    Information Japan, 2013
  • Improved time triggered hybrid scheduling algorithm for an embedded systems
    Information Japan, 2013
  • Design of low power high speed VLSI adder subsystem
    IEEE International Conference on Advances in Engineering Science and Management Icaesm 2012, 2012
  • The significant parameter measurement with the analysis of energy and dynamic power in Zigbee based wireless sensor node
    R. Prabakaran, S. Arivazhagan
    Communications in Computer and Information Science, 2011
  • Significant parametric measures for enhanced and accurate energy management of embedded systems
    R. Prabakaran, S. Arivazhagan, X. Jennifer Viola
    Communications in Computer and Information Science, 2011
  • Implementation of EN-Elman backprop for dynamic power management
    P. Rajasekaran, R. Prabakaran, R. Thanigaiselvan
    2011 International Conference on Devices and Communications Icdecom 2011 Proceedings, 2011
  • Queue reloading scheme for congestion leveling in wireless sensor networks
    N. Prabakaran, B. Shanmuga Raja, R. Prabakaran
    2011 International Conference on Devices and Communications Icdecom 2011 Proceedings, 2011
  • Rate optimization scheme for node level congestion in wireless sensor networks
    N. Prabakaran, B. Shanmuga Raja, R. Prabakaran, V. R. Sarma Dhulipala
    2011 International Conference on Devices and Communications Icdecom 2011 Proceedings, 2011
  • A study on optimized power consumption routing in Wireless Sensor Networks
    K. Arulmozhi, V. R. Sarma Dhulipala, R. Prabakaran
    Icect 2011 2011 3rd International Conference on Electronics Computer Technology, 2011
  • Study on ZigBee technology
    C. Muthu Ramya, M Shanmugaraj, R Prabakaran
    Icect 2011 2011 3rd International Conference on Electronics Computer Technology, 2011
  • Analysis of time triggered schedulers in embedded system
    E. Anbarasi, N. Karthik, R. Prabakaran
    Icect 2011 2011 3rd International Conference on Electronics Computer Technology, 2011
  • Industrial utilization of wireless sensor networks
    M Shanmugaraj, R. Prabakaran, V.R. Sarma Dhulipala
    2011 International Conference on Emerging Trends in Electrical and Computer Technology Icetect 2011, 2011
  • Real time paddy crop field monitoring using Zigbee network
    K. Nirmal Kumar, P. Ranjith, R. Prabakaran
    2011 International Conference on Emerging Trends in Electrical and Computer Technology Icetect 2011, 2011
  • Industrial monitoring using zigbee network
    M. Shanmugaraj, C. Muthu Ramya, R. Prabakaran
    Communications in Computer and Information Science, 2011
  • Implementation of elman backprop for dynamic power management
    P. Rajasekaran, R. Prabakaran, R. Thanigaiselvan
    Communications in Computer and Information Science, 2011

RECENT SCHOLAR PUBLICATIONS

  • Multi-objective job scheduling in green cloud with big data: a hybrid heuristic approach for minimizing energy in datacenters
    SS Aarthee Selvaraj Prabakaran Rajendran, Kanimozhi Rajangam
    Intelligent Decision Technologies 2025 (1), 1-20 , 2025
    2025
  • A Low-Power Double-Edge-Triggered Flip-Flop Architecture Employing Cascoded Pull-Up and Pull-Down Transistors
    T Ashok, R Prabakaran, M Saravanan, A Sridevi
    Journal of Nanoelectronics and Optoelectronics 20 (10), 1104-1111 , 2025
    2025
  • Improved Smart Memory Design Structure and Processor Framework for Embedded System
    S Maheshwaran, R Prabakaran, R Kanimozhi
    2024
  • Open AccessArticle Energy-Efficient Secure Routing for a Sustainable Heterogeneous IoT Network Management
    PR Ashok T
    Sustainability 16 (11), 4756- 4775 , 2024
    2024
    Citations: 19
  • Load frequency control of a three-area power system based on the optimal tuning of a fractional-order proportional–integral–derivative controller with multi-objective gray wolf …
    BP Ayyappan, R Thanigaiselvan, R Prabakaran, R Kanimozhi
    Journal of Engineering Research 11 (2), 127-137 , 2023
    2023
    Citations: 10
  • AGC of Multi Area Multi Source Restructured Electric Power System with Differential Evolution Algorithm based PID Controller.
    BP Ayyappan, R Kanimozhi, R Prabakaran, R Thanigaiselvan, B Priya, ...
    International Journal on Electrical Engineering & Informatics 15 (2) , 2023
    2023
    Citations: 1
  • Energy-aware heuristic scheduling using bin packing mapreduce scheduler for heterogeneous workloads performance in big data
    S Aarthee, R Prabakaran
    Arabian Journal for Science and Engineering 48 (2), 1891-1905 , 2023
    2023
    Citations: 9
  • A review on various energy sources and harvesting techniques in WSN
    KIA James, R Prabakaran, R Kanimozhi
    International Journal of Advanced Intelligence Paradigms 26 (2), 171-196 , 2023
    2023
  • Co-operative beam forming selection with energy balanced operation for wireless sensor network
    KIA James, R Prabakaran, A Karthikeyan, RR Prianka
    Wireless Networks 28 (8), 3653-3663 , 2022
    2022
    Citations: 3
  • Intracluster cooperative communication in smart home scenario through stable election protocol
    K Immanuvel Arokia James, R Prabakaran
    Concurrency and Computation: Practice and Experience, e5365 , 2021
    2021
    Citations: 2
  • Improvement of battery lifetime in software-defined network using particle swarm optimization based cluster-head gateway switch routing protocol with fuzzy rules
    RP Sahaya Sheela MA
    Computational Intelligence 2020 (36), 813–823 , 2020
    2020
    Citations: 7
  • Power quality improvement by UPQC using ANFIS-based hysteresis controller
    R Manivasagam, R Prabakaran
    International Journal of Operational Research 37 (2), 174-197 , 2020
    2020
    Citations: 34
  • Photonic generation of frequency 16-tupling millimeter wave signal using polarization property without an optical filter
    M Baskaran, R Prabakaran, TS Gayathri
    Optik 184, 348-355 , 2019
    2019
    Citations: 17
  • Application of queuing theory in Hospital Management
    R Prabakaran, K Kumar
    International Journal of Innovative Technology and Exploring Engineering … , 2019
    2019
    Citations: 5
  • Optical millimeter wave signal generation with frequency 16-tupling using cascaded mzms and no optical filtering for radio over fiber system
    M Baskaran, R Prabakaran
    Journal of the European optical society-rapid publications 14 (1), 13 , 2018
    2018
    Citations: 47
  • Parallel Investigation of Different Task Schedulers at Greencloud for Energy Consumption in Datacenters
    S Aarthee, R Prabakaran
    Advances in Power Systems and Energy Management: ETAEERE-2016, 617-625 , 2017
    2017
    Citations: 1
  • Time Triggered Hybrid Scheduler with Dynamic Frequency Scaling for Distributed Real Time Embedded Systems
    V Hemalatha, R Prabakaran, S Dhanalakshmi, A Jaba Deva Krupa
    Wireless Personal Communications 97 (2), 2511-2522 , 2017
    2017
  • Analysis of Landmark Based Wireless Sensor Routing protocols
    KIA James, R Prabakaran
    International Journal of Control Theory and Applications 9 (9), 3679-3689 , 2016
    2016
    Citations: 2
  • Implementation of multilevel topology using 4 H-bridges
    L Vigneshkumar, R Prabakaran
    2016 International Conference on Advanced Communication Control and … , 2016
    2016
  • Photonic generation of microwave pulses using Stimulated Brillouin Scattering (SBS)-based carrier processing and data transmission for Radio over Fiber (RoF) systems
    M Baskaran, R Prabakaran
    2016 International Conference on Wireless Communications, Signal Processing … , 2016
    2016
    Citations: 6

MOST CITED SCHOLAR PUBLICATIONS

  • Study on ZigBee technology
    CM Ramya, M Shanmugaraj, R Prabakaran
    2011 3rd international conference on electronics computer technology 6, 297-301 , 2011
    2011
    Citations: 431
  • Optical millimeter wave signal generation with frequency 16-tupling using cascaded mzms and no optical filtering for radio over fiber system
    M Baskaran, R Prabakaran
    Journal of the European optical society-rapid publications 14 (1), 13 , 2018
    2018
    Citations: 47
  • Power quality improvement by UPQC using ANFIS-based hysteresis controller
    R Manivasagam, R Prabakaran
    International Journal of Operational Research 37 (2), 174-197 , 2020
    2020
    Citations: 34
  • Open AccessArticle Energy-Efficient Secure Routing for a Sustainable Heterogeneous IoT Network Management
    PR Ashok T
    Sustainability 16 (11), 4756- 4775 , 2024
    2024
    Citations: 19
  • Real time paddy crop field monitoring using Zigbee network
    KN Kumar, P Ranjith, R Prabakaran
    2011 International Conference on Emerging Trends in Electrical and Computer … , 2011
    2011
    Citations: 19
  • Future sensors and utilization of sensors in chemical industries with control of environmental hazards
    KN Kumar, R Prabakaran, VRS Dhulipala, P Ranjith
    Proceedings of the 2nd International Conference on Environmental Science and … , 2011
    2011
    Citations: 18
  • Photonic generation of frequency 16-tupling millimeter wave signal using polarization property without an optical filter
    M Baskaran, R Prabakaran, TS Gayathri
    Optik 184, 348-355 , 2019
    2019
    Citations: 17
  • Rate optimization scheme for node level congestion in wireless sensor networks
    N Prabakaran, BS Raja, R Prabakaran, VRS Dhulipala
    2011 International Conference on Devices and Communications (ICDeCom), 1-5 , 2011
    2011
    Citations: 14
  • Timing Analysis and Repeatability Issues of Mobile Ad-Hoc Networking Application traffics in Large Scale Scenarios
    VRS Dhulipala, RM Chandrasekaran, R Prabakaran
    International Journal of Recent Trends in Engineering 1 (1), 463 , 2009
    2009
    Citations: 13
  • Load frequency control of a three-area power system based on the optimal tuning of a fractional-order proportional–integral–derivative controller with multi-objective gray wolf …
    BP Ayyappan, R Thanigaiselvan, R Prabakaran, R Kanimozhi
    Journal of Engineering Research 11 (2), 127-137 , 2023
    2023
    Citations: 10
  • Energy-aware heuristic scheduling using bin packing mapreduce scheduler for heterogeneous workloads performance in big data
    S Aarthee, R Prabakaran
    Arabian Journal for Science and Engineering 48 (2), 1891-1905 , 2023
    2023
    Citations: 9
  • Industrial utilization of wireless sensor networks
    M Shanmugaraj, R Prabakaran, VRS Dhulipala
    2011 International Conference on Emerging Trends in Electrical and Computer … , 2011
    2011
    Citations: 9
  • Zigbee Wireless Sensor Network Technology Study for Paddy Crop Field Monitoring
    R K. Nirmal kumar Prabakaran
    2011
    Citations: 9
  • Analysis of time triggered schedulers in embedded system
    E Anbarasi, N Karthik, R Prabakaran
    2011 3rd International Conference on Electronics Computer Technology 1, 134-137 , 2011
    2011
    Citations: 8
  • Improvement of battery lifetime in software-defined network using particle swarm optimization based cluster-head gateway switch routing protocol with fuzzy rules
    RP Sahaya Sheela MA
    Computational Intelligence 2020 (36), 813–823 , 2020
    2020
    Citations: 7
  • Photonic generation of microwave pulses using Stimulated Brillouin Scattering (SBS)-based carrier processing and data transmission for Radio over Fiber (RoF) systems
    M Baskaran, R Prabakaran
    2016 International Conference on Wireless Communications, Signal Processing … , 2016
    2016
    Citations: 6
  • Threat modeling framework for electrical distribution scada networks
    JKI Arokia, R Prabakaran
    MEJSR 23, 2318-2325 , 2015
    2015
    Citations: 6
  • Application of queuing theory in Hospital Management
    R Prabakaran, K Kumar
    International Journal of Innovative Technology and Exploring Engineering … , 2019
    2019
    Citations: 5
  • A study on optimized power consumption routing in Wireless Sensor Networks
    K Arulmozhi, VRS Dhulipala, R Prabakaran
    2011 3rd International Conference on Electronics Computer Technology 3, 271-274 , 2011
    2011
    Citations: 5
  • Co-operative beam forming selection with energy balanced operation for wireless sensor network
    KIA James, R Prabakaran, A Karthikeyan, RR Prianka
    Wireless Networks 28 (8), 3653-3663 , 2022
    2022
    Citations: 3