On the Selection of Optimum Topology for QoS Aware ZigBee-WiMAX based Healthcare Monitoring System
In this work I have proposed different network architectures using OPNET which consists of combination of ZigBee and WiMAX topologies. ZigBee is used to sense the data from the human body whereas WiMAX is used as a backbone to deliver the data at the distant location using microwave links. The nee of using WiMAX with ZigBee arises as ZigBee network’s coverage area is limited to few meters. This paper provides the layout architecture on the healthcare monitoring system developed using different combination of topologies of WiMAX and ZigBee in OPNET. The successful implementation of ZigBee-WiMAX based healthcare network depends upon the performance of the different proposed networks. In this paper the performance comparison is done between six different ZigBee-WiMAX topology combinations which include ZigBee mesh WiMAX mesh, ZigBee star WiMAX mesh, ZigBee tree WiMAX mesh, ZigBee mesh WiMAX Point to Multipoint (P2MP), ZigBee star WiMAX P2MP and ZigBee tree WiMAX P2MP topologies. Through simulations performed in OPNET, QoS parameters like throughput, load and delay have been evaluated to obtain the optimal performance of the proposed system based and to select best suitable topology combination out of the proposed network architectures.
Published by: Karanvir Singh, Jyoteesh Malhotra
Author: Karanvir Singh
Paper ID: V2I3-1192
Paper Status: published
Published: June 23, 2016
Implementation of GRP Routing Protocol in MANET
Mobile Adhoc Networks (MANETs) are used most commonly all around the world, because it has the ability to communicate each other without any fixed network. It has the tendency to take decisions on its own that is autonomous state. MANET is generally known for infrastructure less. The bridges in the network are generally known as a base station. In, this paper we simulate GRP routing Protocol, to know the network performance in the MANET.
Published by: Vipin Verma, Saurabh Sharma
Author: Vipin Verma
Paper ID: V2I3-1191
Paper Status: published
Published: June 22, 2016
Complex Key Amalgamation Method for Secure Authentication (CKAM-SA) for 4G/LTE Networks
It is normal that a scope of security dangers will develop in 4G remote because of various components including: Takeoff from restrictive working frameworks for handheld gadgets to open and institutionalized working frameworks open nature of the system structural planning and conventions (IP-based). With this move to open conventions and principles, 4G remote systems are currently vulnerable to PC assault methods exhibit on 70 the Internet. Such systems will be progressively powerless against a scope of security assaults, including for instance Malware, Trojans and Viruses. Aside from end-client hardware posturing conventional security dangers, it is normal that new patterns, for example, SPIT (SPAM for VoIP) will likewise turn into a security concern in 4G LTE and WiMAX. Other VoIP-related security dangers are likewise conceivable; for example, SIP enrolment commandeering where the IP location of the criminal is built into the bundle header, along these lines, overwriting the right IP address. In the proposed model, the major focus has been shifted over the robust and secure authentication key mechanism for the 4G/LTE models to add the higher level to the security of the 4G/LTE networks. The complex key mechanism has been designed for the generation of the complex key to add the higher level of security to the 4G/LTE networks channels. The experimental results have justified the performance of the proposed model in the terms of time complexity, uniqueness of the keys, etc.
Published by: Zinnia
Author: Zinnia
Paper ID: V2I3-1190
Paper Status: published
Published: June 22, 2016
Automated LED Text Recognition with Neural Network and PCA –A Review
Light-emitting diodes text dot-matrix text (LED text) is being widely used for displaying information and announcements. LED display for modernization of society and catch on for its versatile application with many benefits. Existing paper used k-nearest neighbor(k-NN) approach, low computation complexity method for pattern recognition, is used to recognition character component as any class of character and canny edge was used to detect character pixels when appear in led display area from scene images. The drawback of existing system is that it cannot handle text line with non-uniform color and containing less than 3 characters. It also cannot detect continuous LED text. Our proposed system will utilize the probabilistic neural network (PNN) classification to add the robust classification for the higher level of the adaptiveness. Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. Our proposed system will achieve better detection and recognition rate than existing system.
Published by: Sonu Rani, Navpreet Kaur
Author: Sonu Rani
Paper ID: V2I3-1185
Paper Status: published
Published: June 20, 2016
A Novel Approach for the Reduction of Noise
Most of the current speckle reduction system uses various filters .There are various filters for reducing the speckle noise reduction. But due to some drawbacks these traditional filters cannot remove speckle noise efficiently. So a hybrid technique speckle noise reduction using anisotropic filter based on wavelets is used. In this paper the necessary idea of an uncorrupted image from the noisy image is identified as “denoising”. Choosing the most excellent way plays a very important role for getting the desired image. So in this thesis report a study is made on “Speckle Noise reduction using anisotropic filter based on wavelets”. There are various existing techniques to remove the speckle noise reduction but due to some drawbacks these techniques cannot remove speckle noise efficiently. The adaptive filters that are Kuan filter, Lee filter, and Frost filter are not able to remove a full removal of speckle without losing any edges because they relies on local statistical data and this statistical data depends upon window size and shape. As these existing filters are very much sensitive to the window shape and window size. If the window shape is very much larger than over smoothing will occurs. As the size of window is smaller than the smoothing ability of the window will reduce. So to overcome these limitations, a new hybrid technique that combines wavelet based denoising and anisotropic diffusion filter is proposed. Wavelet is dependent on both frequency and time domain. It is frame based approach. It provides better resolution and it does not depend upon the window size. In addition the anisotropic filter is based on partial differential equation approach.
Published by: Bodh Raj, Arun Sharma, Kapil Kapoor, Divya Jyoti
Author: Bodh Raj
Paper ID: V2I3-1184
Paper Status: published
Published: June 17, 2016
Noise Reduction: A Review
Most of the current speckle reduction system uses various filters .There are various filters for reducing the speckle noise reduction. But due to some drawbacks these traditional filters cannot remove speckle noise efficiently. So a hybrid technique speckle noise reduction using anisotropic filter based on wavelets is used. In this paper the necessary idea of an uncorrupted image from the noisy image is identified as “denoising”. Choosing the most excellent way plays a very important role for getting the desired image. So in this thesis report a study is made on “Speckle Noise reduction using anisotropic filter based on wavelets”. There are various existing techniques to remove the speckle noise reduction but due to some drawbacks these techniques cannot remove speckle noise efficiently.
Published by: Bodh Raj, Arun Sharma, Kapil Kapoor, Divya Jyoti
Author: Bodh Raj
Paper ID: V2I3-1183
Paper Status: published
Published: June 17, 2016
