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Periyasamy P.,Sree Saraswathi Thyagaraja College | Karthikeyan E.,Government Arts College
Journal of Theoretical and Applied Information Technology | Year: 2014

Since the AOMDV routing protocol selects multiple node disjoint paths based on minimal hop count, the link failures and route breaks occurred in highly dynamic ad hoc networks. For eliminating such problems, we proposed a novel link quality based multipath routing protocol called Link Quality Based Multipath Routing (LQBMR) protocol which is the extension of a well known AOMDV routing protocol. The proposed protocol finds multiple link reliable paths using Path-Link Quality Estimator (P-LQE) such as Cumulative Expected Transmission Count (CETX). The LQBMR protocol uses only CETX instead of hop count as path metric for determining more link reliable paths between any source and destination pair for data transmission. We have evaluated the performance of LQBMR protocol using NS 2.34 and compared it with AOMDV routing protocol. The LQBMR protocol reduces the routing overhead, packet loss ratio, normalized routing overhead and energy consumption. It also increases the packet delivery ratio and throughput. From the simulation results, it is found that the LQBMR protocol has performed better than AOMDV routing protocol. © 2005 - 2014 JATIT & LLS. All rights reserved. Source

Baboo S.S.,Dwaraka Doss Goverdhan Doss Vaishnav College | Sasikala S.,Dravidian University | Sasikala S.,Sree Saraswathi Thyagaraja College
2010 IEEE International Conference on Communication Control and Computing Technologies, ICCCCT 2010 | Year: 2010

This paper deals with the advanced and developed methodology know for cancer multi classification using an Extreme Learning Machine (ELM) for microarray gene expression cancer diagnosis, this used for directing multicategory classification problems in the cancer diagnosis area. ELM avoids problems like local minima; improper learning rate and over fitting commonly faced by iterative learning methods and completes the training very fast. We have evaluated the multicategory0 classification performance of ELM on benchmark microarray data sets for cancer diagnosis, namely, the Lymphoma data set. The results indicate that ELM produces comparable or better classification accuracies with reduced training time and implementation complexity compared to artificial neural networks methods like conventional back-propagation ANN, Linder's SANN, and Support Vector Machine. ©2010 IEEE. Source

Sivaprakasam P.,Sri Vasavi College | Gunavathi R.,Sree Saraswathi Thyagaraja College
3rd International Conference on Advanced Computing, ICoAC 2011 | Year: 2011

In the last two decades, there is magnetism in the use of internet and Communication Technology in the field of Mobile Ad Hoc Network. It motivates the researchers to turn over in those areas. There were some algorithms proposed for electing the efficient Clusterheads. Clusterheads are having more responsibilities like to minimize the re-affiliation, topology changes, and the stability of the on demand networks. We proposed a new efficient clusterhead selection algorithm based on the maximum weight in which it takes consideration of five different weight parameters. In this paper we analyses the clusterhead changes, energy consumption, life time of the network and end to end delay of the nodes. The experimental result also shows that proposed algorithm is better than the existing Weighted Clustering Algorithms. © 2011 IEEE. Source

Periyasamy P.,Sree Saraswathi Thyagaraja College | Karthikeyan E.,Government Arts College
IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2015 | Year: 2015

Reliable data transmission among mobile nodes in highly dynamic ad hoc networks was not ensured by AOMDV routing protocol due to the selection of the multiple node disjoint paths based on only minimal hop counts that lead to link failures and route breaks. For eliminating such problems, we propose an improved ad hoc on-demand multipath routing protocol called Link Reliable Multipath Routing (LRMR) protocol. It finds multiple link reliable paths between any source and destination pair for data transmission using two metrics such as Path Length and Path-Link Quality Estimator (P-LQE). We evaluate the performance of LRMR using NS 2.34 with varying network flows under random waypoint mobility model and compare it with AOMDV routing protocol in terms of Quality of Service (QoS) requirements. The LRMR reduces 9% of routing overhead, 18% of packet loss ratio, 13% of normalized routing overhead and 7% of energy consumption than AOMDV routing protocol. It also increases 9% of packet delivery ratio and 2% of throughput than AOMDV routing protocol. From our simulation results, we show that the LRMR protocol outperforms AOMDV routing protocol. © 2015 IEEE. Source

Periyasamy P.,Sree Saraswathi Thyagaraja College | Karthikeyan E.,Government Arts College
Advances in Intelligent Systems and Computing | Year: 2015

Bandwidth scarcity is a major drawback in multi-hop ad hoc networks. When a single-interface single-channel (SISC) approach is used for both incoming and outgoing traffic, the bandwidth contention between nodes along the path has occurred as well as throughput is degraded. This drawback is overwhelmed by using multi-interface multi-channel (MIMC) approach as well as some of the quality-of-service (QoS) requirements have been enhanced. In this paper, we have applied MIMC approach to ad hoc on-demand multipath distance vector (AOMDV) routing protocol, called AOMDV-MIMC routing protocol, and its performance is compared with AOMDV routing protocol. The simulation results show the network lifetime, throughput, and packet delivery ratio of AOMDV-MIMC routing protocol have been tremendously improved than the AOMDV routing protocol. © Springer India 2015. Source

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