Amiya K. Rath

Work place: Department of Computer Science and Engineering, Cuttack, 754022, India

E-mail: amiyaamiya@rediffmail.com

Website:

Research Interests: Evolutionary Computation, Embedded System, Network Architecture, Data Mining, Database Management System, Data Structures and Algorithms

Biography

Amiya K. Rath is working as professor in the department of Computer Science and Engineering of Dhaneswar Rath Institute of Engineering & Management Studies, Cuttack,Orissa, India. The author has obtained his B.E. degree in Computer Science & Engg. in the year 1990, MBA degree in Systems Management in the year 1993, M.Tech in Computer Science in the year 2001and Ph.D in Computer Science in the year 2005 from Utkal University for the work in the field of Embedded system and Served as professor in different premier institutes since 20 years. He published over 50 papers and 4 books from top international publishing house. He has supervised ten PhD theses in different areas of machine intelligence. His current research interest includes Embedded System, Adhoc Network, Sensor Network, Power Minimization, Biclustering, Evolutionary Computation and Data Mining.

Author Articles
Clustering Structure and Deployment of Node in Wireless Sensor Network

By Rajeeb S. Bal Amiya K. Rath

DOI: https://doi.org/10.5815/ijitcs.2014.10.10, Pub. Date: 8 Sep. 2014

Generally, grouping sensor nodes into clusters has been widely adopted by the research community to satisfy the above scalability objective and generally achieve high energy efficiency and prolong network lifetime in large scale WSN environments. The corresponding hierarchical routing and data gathering protocols imply cluster based organization of the sensor nodes in order that data fusion and aggregation are possible, thus leading to significant energy savings. We propose a clustering approach which organizes the whole network into a connected hierarchy and discuss the design rationale of the different clustering approaches and design principles. Further, we propose several key issues that affect the practical deployment of clustering techniques in wireless sensor network applications.

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