A. Kandasamy

Work place: Department of Mathematical and Computational Sciences, National Institute of Technology Karnataka, Mangalore, 575 025, India

E-mail: kandy@nitk.ac.in


Research Interests: Computer Networks, Network Architecture, Network Security


Dr. A. Kandasamy is a professor in the Department of Mathematical and Computational Sciences of National Institute of Technology Karnataka, Surathkal, India. He has done his Doctoral Research at Indian Institute of Technology, Bombay, India and he is a Post-Doctoral Fellow of Chuo University, Tokyo, Japan. His research interests are Computational Fluid Dynamics, Rheology, Tribology, Computational Techniques, Bio-informatics and Wireless Sensor Networks. He has published more than 50 reviewed papers in the reputed international journals and international/national conference proceedings. He has given invited talks in various conferences at national and international levels including the ones held at Russia, U.K., Singapore, Malaysia, Indonesia and Hong Kong. He has guided till now fiver students at Doctoral level research work, more than 25 students at Master’s level project work. He is having 23 years of teaching experience and 28 years of research experience. He is Member of Board of Studies of various universities and institutions, Reviewer for various International Journals of Elsevier, Springer, Taylor and Francis and other reputed publications. Dr. Kandasamy is a member of National Board of Accreditation of India. He is the life member of various Professional Societies at National as well as International levels. At present, he holds the position of Dean of Faculty Welfare at NITK. Mangalore, India. includes the biography here.

Author Articles
Analysis of Base Station Assisted Novel Network Design Space for Edge-based WSNs

By Muni Venkateswarlu K. A. Kandasamy Chandrasekaran K.

DOI: https://doi.org/10.5815/ijcnis.2015.07.07, Pub. Date: 8 Jun. 2015

Limited and constrained energy resources of wireless sensor network should be used wisely to prolong sensor nodes lifetime. To achieve high energy ef?ciency and to increase wireless sensor network lifetime, sensor nodes are grouped together to form clusters. Organizing wireless sensor networks into clusters enables the ef?cient utilization of limited energy resources of the deployed sensor nodes. However, the problems of unbalanced energy consumption exist in intra and inter cluster communication, and it is tightly bound to the role and the location of a sensor nodes and cluster heads in the network. Also, clustering mechanism results in an unequal load distribution in the network. This paper presents an analytical and conceptual model of Energy-ef?cient edge-based network partitioning scheme proposed for wireless sensor networks. Also, it analyzes different network design space proposed for wireless sensor networks and evaluates their performance. From the experimental results it is observed that, with proper network organization mechanism, sensor network resources are utilized effectively to elevate network lifetime.

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Energy Efficient Unequal Clustering Algorithm with Disjoint Multi-hop Routing Scheme for Wireless Sensor Networks

By Muni Venkateswarlu K. A. Kandasamy Chandrasekaran K.

DOI: https://doi.org/10.5815/ijmecs.2015.05.04, Pub. Date: 8 May 2015

The main aim of this paper is to avoid hot-spot problem in wireless sensor network with uniform energy dissipation among cluster heads in the network. It proposes an energy efficient unequal clustering mechanism to form limited and equivalent number of clusters across different levels of wireless sensor network to enable invariable energy consumption among them. Concentrated cluster formation near base station ensures minimum relay burden on cluster heads to avoid hot-spot problem in multi-hop data forwarding model. Equivalent number of clusters at each level ensures in-common network load on each cluster head among different data forwarding routes. In addition, a simple disjoint multi-hop routing technique is proposed for smooth data forwarding process. Simulation results evidence that the proposed unequal clustering algorithm overcomes hot-spot problem with invariable energy dissipation among cluster heads across the network and elevates sensor network lifetime.

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