Published In : IJCSN Journal Volume 5, Issue 4

Date of Publication : August 2016

Pages : 638-644

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Mousami Vanjale : is currently working as Assistant Professor in the Department of Electronics Engineering at AISSMS Institute of Information Technology, Pune, Maharashtra. She received her Bachelor of Engineering (Electronics) degree from Shivaji University and Master of Technology (Digital Systems as specialization) from Government College of Engineering Pune, under University of Pune. She is pursuing Ph.D. at Bharati Vidyapeeth University, Pune. Her research interest lies in the area of Mobile Ad Hoc Networks. She is a member of professional societies namely, IEEE, IETE, and ISTE.

Dr. J. S. Chitode : is a Professor in the department of Electronics Engineering at Bharati Vidyapeeth University College of Engineering (BVUCOE), Pune, Maharashtra. He received the B.E. degree in Industrial Electronics Engineering from BVUCOE, Pune, Maharashtra, India in 1991. He received M.E. degree from Government College of Engineering Pune (COEP), at the University of Pune from Maharashtra, India in 1995. He has received a Ph.D. degree in Electronics from Bharati Vidyapeeth University, India in 2009. His research interest includes Signal processing, Speech Synthesis, Digital Communication, etc. Dr. Chitode is actively participating as a member of different professional research societies, like IEEE, ISTE, etc.

 

 

 

 

 

 

 

MANET, Energy Conservation, Energy Efficient Routing, Residual Battery, Network Lifetime

As battery power is one of the major constraints in MANET, it is necessary to consider different techniques to reduce the energy consumption of the nodes in the network. Researchers are working on the ways to reduce energy consumption at various levels like physical level, MAC level, operating system level as well as routing level. This paper discusses the review of maximum lifetime routing algorithms based on three metrics viz. minimum - energy routing, max - min routing and minimum - cost routing. In order to balance the network load, the routes with nodes having less residual energy should be avoided during the route selection. This will avoid the premature dying of the nodes, thus extending the network lifetime.

 

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