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Articles by M. Lakshmi
Total Records ( 4 ) for M. Lakshmi
  M. Lakshmi and P.E. Sankaranarayanan
  An Ad hoc mobile network is a collection of mobile nodes that are capable of changing on a continual basis. In order to facilitate communication within a network, a routing protocol is used to discover routes between nodes. The primary goal of an ad hoc network routing protocol is to establish correct and efficient route between two nodes so that message may be delivered in time. In this research we have studied the performance of three routing protocols (DSDV, DSR and AODV) and evaluated its performance based on a given set of parameters. Here we presented the characteristics and functionality of all three protocols and the comparison.
  M. Lakshmi and P.E. Sankaranarayanan
  In this study a power aware on demand routing protocol using mobile agents called Agent Based Ad hoc on Demand Distance vector routing protocol (AB-AODV) was proposed. This protocol uses the on demand capability of Ad hoc on Demand Distance Vector (AODV) routing protocol and a distributed topology discovery mechanism using mobile agents. Our protocol model uses a mixture of mobile and static agents to gather relevant information. These agents could perform important tests, which could be used to generate the best power aware route through a network. This research looks at different models for the deployment of these agents, which balance the usage of static and mobile agents. These are appraised in the terms of performance, reconfigurability and easy of installation. However, the simulation studies carried out for table-driven and on-demand ad hoc routing protocols fall short of examining essential power-based performance metrics, such as average node and network lifetime, energy-based protocol fairness, average dissipated energy per protocol and standard deviation of the energy dissipated by each individual node. This research present a thorough energy-based performance study of power aware AODV routing protocols for wireless mobile ad hoc networks. Moreover, we propose some novel enhancements to routing in wireless ad hoc networks that enables the admission of flows without jeopardizing the limited energy of the wireless stations.
  P. Saravanan and M. Lakshmi
  Cephalometric investigation in forensic science, concerned with the recognition, identification, individualization and assessment of physical confirmation. This study portrays the different soft computing algorithms for horizontal cephalogram picture based sexual orientation classification. In this study, we proposed another classification strategy called Weighted Rough Neural Network (WRNN). The Weiner filter has been utilized for preprocessing to lessen clamor in a picture. Programmed landmark identification for cephalogram pictures utilizing single fixed appearance model. The fifty one landmark points are extracted from skull image. Then principal component analysis and Daubechies wavelets are applied for feature selection. At the end chosen features are ordered according to the sexual orientation by applying Support Vector Machine (SVM), K-Nearest Neighbor (K-NN), Back Propagation Neural Network (BPN) with proposed Weighted Rough Neural Network (WRNN) strategies. The comparative examination is performed among these techniques by utilizing the quantitative measures. From the after effects of the present investigation, it might be concluded that parallel cephalogram examination utilizing WRNN can be utilized as a dependable instrument in sex assurance.
  R. Augustian Isaac and M. Lakshmi
  The scarcity in the productivity of power leads to management of power consumption in various fields. This leads to a major research challenge in dynamic power management. Wireless sensor network already being a highly resource constrained network, necessitates dynamic power management through various schemes. One such scheme is implementing power management through routing techniques. This study focuses on power management through clustering methods. The protocol attempts to manage power through topology control by selecting random percentage of nodes to be in active states initially and later automation of the selection of nodes through fuzzy logic techniques. The protocol outperforms better than the existing fuzzy and clustering protocols.
 
 
 
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