Work place: Department of ECE, TKR Engineering College, India

E-mail: soundararajan_jntucea@yahoo.com


Research Interests: Computer systems and computational processes, Embedded System, Operating Systems, Information Systems


K. Soundararajan is professor & director R&D cellof TKR Engineering College. As a Researcher, he has successfully guided Nine Ph.Ds in addition, to one in progress resulting in 27 International Jnl.s / Conf.Proc. , 32 national Jnls. / Conf. Proc. and 11 National seminars.

Author Articles
Enhancement of Indoor Localization in WSN using PSO tuned EKF

By Ravichander Janapati ch. Balaswamy K.Soundararajan

DOI: https://doi.org/10.5815/ijisa.2017.02.02, Pub. Date: 8 Feb. 2017

In Wireless Sensor Networks, nodes are positioned arbitrarily and finding location of nodes is difficult. In this network, the nodes need to know their location is important for indoor applications. In this applications signals are affected by various factors such as noise, multipath, NLOS etc. This impact on inaccurate location information of node, which leads finding path to the destination node is difficult. Cooperative location based routing is alternative solution for finding better path. In this paper a solution is proposed for effective route in indoor application of WSN. The proposed solution uses Particle Swarm Optimization assisted Adaptive Extended Kalman Filter (PSO-AKF) for finding location of nodes. In this mechanism, finding accurate position of node impact on network performance such as minimization of delay, location error and also minimizes complexity.

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A New Algorithm for Computationally Efficient Modified Dual Tree Complex Wavelet Transform

By SK.Umar Faruq K.V.Ramanaiah K.Soundararajan

DOI: https://doi.org/10.5815/ijigsp.2014.07.06, Pub. Date: 8 Jun. 2014

We introduce a new generation functionally distinct redundant free Modified Dual Tree Complex Wavelet structure with improved orthogonality and symmetry properties. Traditional Dual Tree Complex Wavelets Transform (DTCWT), which incorporates two operationally similar, procedurally different Discrete Wavelet Transform (DWT) trees, is inherently redundant and computationally complex. In this paper, we propose Symmetrically Modified DTCWT (SMDTCWT) to explore the close relationships between the wavelet coefficients from the real and imaginary tree of the dual-tree CWT with an advent of a Quadrature Filter. This exploitation can reduce the level of redundancy that currently exists in a dual-tree wavelet system and decrease the computational complexity .Some of the primary constraints include that the designed algorithm should be satisfying the Hilbert transform pair condition and should have high coding gain, good directional sensitivity, and sufficient degree of regularity.

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