Nesasudha M
@karunya.edu
Professor ,Department of electronics and communication Engineering
Karunya Institute of Technology and Sciences
EDUCATION
BE. ME, Ph.D
RESEARCH INTERESTS
Antenna design, Wireless sensor networks, RF design
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
D. Durga Prasad, Nesasudha Moses, and Doondi Kumar Janapala
Springer Nature Switzerland
Mulagala Dileep, Nesasudha Moses, and Doondi Kumar Janapala
Springer Nature Switzerland
K. Vijaipriya, M. Nesasudha, and Prawin Angel Michael
Elsevier BV
B. Anitha Vijayalakshmi, S. Lekashri, M. Gomathi, R. Ashwini, B. Arunsundar, and M. Nesasudha
Springer Science and Business Media LLC
J. Vijitha Ananthi, P. Subha Hency Jose, and M. Nesasudha
Springer Science and Business Media LLC
Rama Krishna Chokkakula, Nesasudha Moses, and Doondi Kumar Janapala
IEEE
K. Vijaipriya, M. Nesasudha, and Prawin Angel Michael
Wiley
ABSTRACTIn general, Multi‐User Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MU‐MIMO‐OFDM) enables multiple users to simultaneously communicate with a single base station using multiple antennas and OFDM modulation. Nevertheless, resource allocation challenges such as power management and delay optimization arise within MU‐MIMO‐OFDM systems, requiring sophisticated solutions to ensure efficient use of resources and optimal system performance. Thus, joint power and delay optimization‐based resource allocation using a Deep Convolutional Pyramid‐Dilated Neural Network (DCPDNN) with Red piranha optimization and Optimal Delay Scheduling conflict graphs Algorithm (DCPDNN‐RPO‐ODSCGA) in MU‐MIMO‐OFDM system is proposed in this presented research. The proposed mechanism is performed in two stages: power allocation and delay optimization. In the first stage, through a Deep Convolutional Pyramid‐Dilated Neural Network (DCPDNN), which aims to maximize throughput, the network resources are distributed to user equipment (UEs) based on power and transmission rate. To reduce the loss function, Red Piranha Optimization (RPO) is proposed to optimize the layers of DCPDNN. In the second stage, the Optimal Delay Scheduling conflict graphs Algorithm (ODSCGA) is proposed for the optimizing delay in the MU‐MIMO‐OFDM system. The multiracial envelope procedure and service curve for traffic flows in the uplink transmission are used in the ODSCGA approach to estimate the delay‐bound value. Ideas like the maximal weight independent set and optimal conflict graph are also utilized. The simulations of DCPDNN‐RPO‐ODSCGA were conducted using MATLAB software. Thus, the proposed approach has attained higher spectral capacity, higher fairness index, and increased cumulative distribution function (CDF), 29.74%, 32.98%, and 16.46% lower loss rate, 28.05%, 24.09%, and 17.45% improved energy efficiency, 15.09%, 13.78%, and 12.05% lower processing time than other conventional approaches like MPQM‐SCA, Hyb‐BF‐DSA, and SIA‐FDBD methods, respectively.
R. Catherine Shekinah, P. Beulah Jenifer, K. Indhurani, M. Nesasudha, and T. A. Karthikeyan
Springer Nature Singapore
J. Vijitha Ananthi, P. Subha Hency Jose, and M. Nesasudha
Elsevier BV
T. A. Karthikeyan, M. Nesasudha, and M. L. Valarmathi
Springer Science and Business Media LLC
Karthikeyan T. Angappan, Moses Nesasudha, Moses Abi T. Zerith, and Agbotiname Lucky Imoize
Walter de Gruyter GmbH
Abstract A Polydimethylsiloxane (PDMS) based antenna is designed for skin tumor detection. The antenna functions at 2.45 GHz with a bandwidth of 2.30–2.64 GHz working in the ISM (Industrial, Scientific, and Medical) band. The size of the antenna is 40 × 40 × 1 mm3. This antenna detects tumors in the skin by considering the variations in values of the E-field, J-surf, and H-field. Various analyses such as the distance between the patch and stacked layer skin phantom for different tumor sizes and input power to the antenna are changed and antenna performance is observed. A significant amount of changes is attained which denotes the presence of the tumor. The proposed antenna is fabricated and the corresponding results are analyzed in the Anechoic Chamber. The antenna has an efficiency of 99 % with a Specific Absorption Rate of 1.3846 W/kg which is lower than 1.6 W/kg as per the recommendations of FCC standard.
B. Anitha Vijayalakshmi, B. Arunsundar, C. Tamizhselvan, and M. Nesasudha
Springer Science and Business Media LLC
T A Karthikeyan, M Nesasudha, S Saranya, and B Sharmila
Elsevier BV
B. Anitha Vijayalakshmi, S. Lekashri, R. Mary Victoria, M. Gomathi, and M. Nesasudha
Springer Science and Business Media LLC
B. Anitha Vijayalakshmi, A. Senthil Kumar, V. Kavitha, and M. Nesasudha
Springer Science and Business Media LLC
T. A. Karthikeyan, M. Nesasudha, and G. Shine Let
Springer Science and Business Media LLC
B. Anitha Vijayalakshmi, P. Gandhimathi, and M. Nesasudha
Springer Science and Business Media LLC
Doondi Kumar Janapala, Nesasudha Moses, and Jebasingh Bhagavathsingh
Cambridge University Press (CUP)
Abstract This research work presents an implantable antenna that operates at 5.8 GHz. By using a radiator with a loop-based design, the antenna can be made smaller. Radiator is made up of three connected rectangular loops. On the substrate’s back side, an I-shaped ground plane is used. As substrate and superstrate, polydimethylsiloxane (PDMS) with dimensions of 7 mm × 5 mm × 0.3 mm is used. The conducting sections are made using copper foil that is 30 µm thick. The suggested antenna is examined by the implantable medical device using realistic human scalp phantom models and a homogenous skin box. Simulated study revealed that it operates around 5.8 GHz with a bandwidth from 5.69 to 5.92 GHz. The specific absorption rate was 0.28 and 0.26 W/kg for skin box and human scalp phantoms, respectively, at 1 mW input power across 1 g volume tissue.
B. Anitha Vijayalakshmi, K. Gokulkannan, S. Sri Nandhini Kowsalya, R. Mary Victoria, and M. Nesasudha
Springer Science and Business Media LLC
Doondi Kumar Janapala, Nesasudha Moses, and Rangarao Orugu
Springer Science and Business Media LLC
B. Anitha Vijayalakshmi, B. Arunsundar, Anitha Gopalan, P. Gandhimathi, V. Kavitha, and M. Nesasudha
Springer Science and Business Media LLC