Published In : IJCSN Journal Volume 7, Issue 3

Date of Publication : June 2018

Pages : 138-145

Figures :10

Tables : 10

 

K. Juliet Catherine Angel : is currently working in as an Assistant Professor in Holy Cross College (Autonomous), Tiruchirappalli. She has completed her Master of Computer Applications in 2002 at Bishop Heber College (Autonomous), Tiruchirappalli. She has also completed her M.Phil. Computer Science in 2007 under Bharathidasan University. At present she is pursuing Ph.D. in Computer Science under Bharathidasan University. She has around thirteen years of Academic experience in the field of Computer Science. She has published several papers in both Conferences and Journals at National and International Level. Her areas of interest are Mobile Wireless Sensor Networks and Algorithms.

Dr .E. George Dharma Prakash Raj : completed his Masters Degree in Computer Science and Masters of Philosophy in Computer Science in the years 1990 and 1998. He has also completed his Doctorate in Computer Science in the year 2008. He has around twenty seven years of Academic experience and twenty years of Research experience in the field of Computer Science. Currently he is working as an Asst. Professor in the School of Computer Science and Engineering at Bharathidasan University, Tiruchirappalli, India. He is an Editorial Board Member, Reviewer and International Programme Committee Member in many International Journals and Conferences. He has published several papers in International Journals and Conferences related to Computer Science He has convened many National and International Conferences related to Computer Science. His Areas of Interest are Computer Networks, Big Data, Cloud Computing and Internet of Things.

 

MWSN, Clustering, Grid, Density, Mobility, Energy Efficiency

Energy Efficiency is a major task in Mobile Wireless Sensor Networks which is resolved through the Clustering technique. The study deals with various Energy Efficient Clustering algorithms like EEECA, GEECA and DMGEECA. The ultimate purpose of those algorithms is to reduce the Energy Consumption and maximize the Network Lifetime. The results of the existing algorithms are confined to give better result. The performances of three algorithms EEECA, GEECA and DMGEECA discussed in this paper. Here Energy Efficient Clustering algorithm reduces the Energy Consumption of the nodes increases the lifetime of the nodes thereby increasing the lifetime of the Network. DMGEECA algorithm is more efficient in terms of Energy Consumption of the Clusters than EEECA and GEECA.

 

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