Chandrasekaran K.

Work place: Department of Computer Science and Engineering, National Institute of Technology Karnataka, Mangalore, 575 025, India



Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Computer Networks, Information Security, Distributed Computing, Information Systems


Dr. K. Chandrasekaran is currently Professor in the Department of Computer Science & Engineering, National Institute of Technology Karnataka, India, having 27 years of experience. He has more than 160 research papers published by various reputed and peer-reviewed International journals, and conferences. He has received best paper awards and best teacher awards. He serves as a member of various reputed professional societies including IEEE (Senior Member), ACM (Senior Member), CSI (Life Member), ISTE (Life Member) and Association of British Scholars (ABS). He is also a member in IEEE Computer Society's Cloud Computing STC (Special Technical Community). He is in the Editorial Team of IEEE Transactions on Cloud Computing, one of the recent and reputed journals of IEEE publication. He has coordinated many sponsored projects, and, some consultancy projects. He has organized numerous events such as International conferences, International Symposium, workshops and several academic short term programs at NITK. He was a visiting fellow at LMU Leeds, UK in 1995, Visiting Professor at AIT, Bangkok in 2007, and Visitor at UF, USA in 2008 and a Visitor at Univ. of Melbourne, CLOUDS LAB in 2012. He had also worked as Visiting (Professor) at DoMS, IIT Madras during Feb-Dec. 2010. His areas of interest - research include: Computer Communication Networks, Cyber Security and Distributed Computing and Business Computing & Information Systems Management.

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

By Muni Venkateswarlu K. A. Kandasamy Chandrasekaran K.

DOI:, 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:, 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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