Suriyakala C D

Work place: Kerala University of Fisheries and Ocean Studies/School of Ocean Engineering & Underwater Technology, Kerala, 682506, India

E-mail: drcdsk@yahoo.in

Website:

Research Interests: Software, Software Construction, Software Development Process

Biography

Suriyakala born at Cochin on 12th May 1967. She Graduated from Manipal Institute of Technology with Bachelor’s Degree in Electronics and Communication Engineering. She did her Post Graduation in Electronics & Control from BITS, Pilani & M.S (By Research) from Anna University, Chennai    & completed PhD in Software Agents for Communication

She has 24 years’ experience which includes teaching as well as research. At present, she is Director, School of Ocean Engineering & underwater Technology, Kerala University of Fisheries and Ocean Studies (KUFOS). She has sponsored projects (NRSC& DRDO), more than 100 publications in refereed conferences and journals. Her research areas are wireless communication & software Agents.

She is Member of professional Societies IEEE, ISTE, and Fellow member of IETE & IE

Author Articles
Performance Analysis of Convolution Code with Variable Constraint Length in Shallow Underwater Acoustic Communication

By Krishnamoorthy Raghavan Narasu Suriyakala C D Ramadevi Rathinasabapathy Marshiana Devaerakkam Sujatha Kumaran

DOI: https://doi.org/10.5815/ijcnis.2019.02.02, Pub. Date: 8 Feb. 2019

One of the most complex environment for the data transmission is the underwater channel. It suffers frequency selective deep fading with serious multi path time delay. The channel also has limited bandwidth. In this paper, the effect of Least Code Weight – Minimum Hamming Distance (LCW-MHD) polynomial code is studied using Viterbi Decoding Algorithm for the shallow Underwater Acoustic Communication (UAC) channel. Two different channels with the range of 100 and 1000 meters are considered for simulation purpose and the channel is designed using Ray Tracing algorithm. For data and image transmission in the channel, three different code rate of 1/2, 1/3 and 1/4 are considered and corresponding Bit Error Rate (BER) are evaluated. Result showed that the BER is least for the LCG-MHD polynomial code.

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