R
R. Saravanan
Researcher at VIT University
Publications - 30
Citations - 94
R. Saravanan is an academic researcher from VIT University. The author has contributed to research in topics: Mobile ad hoc network & Routing protocol. The author has an hindex of 4, co-authored 30 publications receiving 73 citations. Previous affiliations of R. Saravanan include Central Electronics Engineering Research Institute & Saveetha Engineering College.
Papers
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Efficiency enhancement of silicon solar cells with silicon nanocrystals embedded in PECVD silicon nitride matrix
William R. Taube,A. Kumar,R. Saravanan,Pankaj B. Agarwal,Prateek Kothari,B. C. Joshi,Dinesh Kumar +6 more
TL;DR: In this article, two types of anti reflection coatings, one with single layer SRN film and other with double layer SiOx/SRN, were used during fabrication of silicon solar cells and thermally annealed to precipitate silicon nanocrystals.
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Selfish node detection based on evidence by trust authority and selfish replica allocation in DANET
TL;DR: In this work, selfish nodes are detected by employing evidence based detection and an improved self-centred friendship ISCF tree is framed and the replica is allocated to the node by taking into account the number of times the data items are accessed and the level of the node.
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Nano-arrays of SAM by dip-pen nanowriting (DPN) technique for futuristic bio-electronic and bio-sensor applications
TL;DR: In this article, the authors have fabricated nano-dots of 16-MHA (16-mercaptohexadecanoic acid) self-assembled monolayer (SAM) on gold substrate by DPN technique with different dwell time under varying relative humidity.
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A swarm intelligence-based approach for addressing network partitioning constraints in mobile ad hoc networks
S. Sumathy,R. Saravanan +1 more
TL;DR: The proposed work focuses on integrating the benefits of particle swarm optimisation to determine optimal location for placing mobile forwarding node with genetic algorithm to establish an optimal route to destination.
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Performance Analysis of Cloud Computing Using Batch Queueing Models in Healthcare Systems
K. Santhi,R. Saravanan +1 more
TL;DR: The results obtained in the proposed model are the total waiting time, the total number of different class i of users / patients / clients in both queues and in the system.