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Smart Routing for WSN for the Energy Balanced Routing over Hierarchical Deployments

The data aggregation is the method of combining the data streams coming from multiple nodes. The data aggregation methods reduce the routing decision cost implied by the routers or nodes in the path. The data aggregation can be proven to be efficient in the terms of energy efficiency or transmission efficiency. The proposed model is entirely based upon the data aggregation and data forwarding technique. In this research project, we have tried to develop the new era aggregation model for the wireless sensor networks. The proposed model is intended to enhance the energy efficiency by improving the aggregation model for the sensor networks to enable the efficient delivery mechanism for the data. The WSNs are the directed graph networks, where the data is being sent into the similar direction of base transceiver station (BTS). Because the data in the directed graph networks flow in a particular direction, it always made the aggregation method efficient. The proposed model aggregation model is based upon the smart amalgamation of heuristic and greedy algorithm based aggregation. The greedy allows the algorithm to cover any number of data streams for the aggregation, whereas heuristic is responsible for the group formation before going for the aggregation. The multiple aggregation groups are produced by using the heuristic approach in the proposed model. So in this thesis, we have proposed and implemented the smart heuristic and greedy based hybrid aggregation and data transmission algorithm. The proposed model has shown its effectiveness in the case of aggregation and data transmission. The proposed model has proved its efficiency in the form of network load, route persistence, energy consumption and latency. The proposed model has proved it better than the previous approaches on the basis of the above listed performance parameters.

Published by: Namrata Chopra, Manmeet Kaur

Author: Namrata Chopra

Paper ID: V2I3-1155

Paper Status: published

Published: May 31, 2016

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Extracting News from the Web Pages by using Concept of Clustering with Neural Genetic Approach

Web news extraction is an investigation area which has been widely discovered. It has resulted in some systems which has good extraction abilities with little or no human involvement. The present system looks into the perception of web newscast from a lone web site which takes a parallel format and the idea commonly is not as efficient when multiple web news pages are considered which belong to different sites. My work proposes a web extraction layout which is rather same for most of the web news The purpose of web news extraction is to enhance information retrieval which stores news articles related to a particular event for competitive business analysis Researches in this area have shown many approaches different from the other based on the need, the extractor should be chosen.

Published by: Nishan Singh Saklani, Saurabh Sharma

Author: Nishan Singh Saklani

Paper ID: V2I3-1154

Paper Status: published

Published: May 30, 2016

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Characterization of Stainless Steel 316l Coated by Thermal Spray Coating

An experimental investigation was carried out to find the characteristic of coated stainless steel 316L, coating was done by D-gun method. Surface properties corrosion is check out of both coated base metals and uncoated base metals. Two specimens of coating were prepared with coating thickness of 150 microns (single layer) and 300 microns (multilayer). Pitting corrosion test was performed to analysis the corrosion properties of base metal and coated metals, corrosion test was conducted for 96 hours and solution used was stagnant seawater composition and temperature of solution was at a temperature of 420C. Characterization of Inconel 718 and stainless steel 316L was done by using XRD. Result obtained from corrosion test showed that weight loss of base metal SS 316L was 0.0002 gram which 50% more than the weight loss in multilayer coated specimens that 0.0001 gram.

Published by: Prajapati Amit Kumar, Sudhanshu Pandey, Ram Mishra, Ramdoot Yadav

Author: Prajapati Amit Kumar

Paper ID: V2I3-1153

Paper Status: published

Published: May 26, 2016

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Blur Detection using Hybrid Classifier

Popular entertainment and communication services of internet or mobile applications is multimedia content such as image, audio and video that may suffer from low quality problem. Blur is the one of the factors that degrades the quality of image or frames in video. Enhancement or restoration of blurred image requires detection of blurred region or kernel. Therefore, blur detection is the initial and main step of blur phenomena followed by blur classification and restoration process. In this paper, we presented overview on a few defocus and motion blur detection methods with their applications. Some of this methods based on features of blurred kernel while others not. These methods can be either direct or indirect. Direct methods only identify the blurred region and segment it from un-blurred one. While indirect methods first detect and then restore the blurred region. We discussed both type of blur detection methods.

Published by: Indu Kharb, Abhishek Sharma

Author: Indu Kharb

Paper ID: V2I3-1152

Paper Status: published

Published: May 20, 2016

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Five Point Key Amalgamation For Secure Authentication (FPKA-SA) In 4G Networks

The 4G networks are the fourth generation cellular networks and result of the long term evolution (LTE) in the cellular networks area. The fourth generation networks are capable of transferring the user data on higher speeds, which insists the users to have video calls, transfer massive amounts of personal data, etc, which stays at risk while being exchanged between the two nodes. Also, 4G is not only limited to the Smart-phone users, but it is being used for the personal computers (Desktops, Laptops, etc.) using the Mi-Fi interfaces, which adds the high risk of data security. In this paper, a novel authentication mechanism is proposed by using the 5-column key architecture to build and transmit the stronger keys between the two cellular nodes. The proposed model has been evaluated on the basis of various network and authentication performance parameters and compared with the existing 4G authentication models. The proposed model has been found better than the existing model, hence proved to be efficient authentication scheme for 4G networks.

Published by: Divyanshu Malhotra, Dr. Paramjeet Singh, Dr. Shaveta Rani,

Author: Divyanshu Malhotra

Paper ID: V2I3-1151

Paper Status: published

Published: May 19, 2016

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Enhancement of MANET Routing by Optimize Centrality with Ant Colony Approach

Vehicular Ad Hoc Network (VANET) is an appearing new technology integrating ad hoc network and improves road traffic safety. The main challenges in VANET is searching, maintaining an effective route for transporting data information. Today some kind of routing protocols used in VANET Hence, an analysis on routing protocols based on number of parameters of VANET i.e. a required issue in communication. AODV routing protocol is also used in VANET. AODV protocol suffers worst performance when it is directly applied in VANET. In this paper, a metaheuristic (Shapley Value) approach is used to reduce the delay information, packet dropped and increasing the throughput.

Published by: Monika Thakur, Saurabh Sharma

Author: Monika Thakur

Paper ID: V2I3-1150

Paper Status: published

Published: May 19, 2016

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