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Recent Papers

Bandwidth-Aware Stochastic Uplink Scheduling in WIMAX

Abstract—The bandwidth allocation in the WiMAX networking is the primary process which is utilized for the maximum accommodation of the wireless users. The WiMAX link scheduling plays the significant role in managing the resources efficiently and in serving the internet services to the maximum number of users. In this study, the study of various scheduling strategies in wireless mesh network will be carried out. We will focus mainly on the rtps class as it is the most challenging one. A detailed study of HAS and SADP algorithm will be carried out, analyzing its performance for all the service classes. We will then modify the existing algorithm in order to overcome its disadvantages and further improve its performance. The modified algorithm will be implemented in NS2 and simulations will be done. The results obtained from the research will be studied and compared with the previous results and conclusions will be drawn.

Published by: Komaljot Kaur, Amitabh Sharma

Author: Komaljot Kaur

Paper ID: V2I3-1167

Paper Status: published

Published: June 9, 2016

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Adaptive Security Mechanism for Cognitive Radio Communications based on Robust Authentication

Abstract—The fundamental techniques for cognitive radio standard generates the new security threats and the primary operative issues and challenges to wireless communications. Spectrum occupancy failure, the policy management failures, wireless node localization failures, transceiver failures, framework problems and other concerns must be efficiently covered and resolved while imposing the security techniques over the cognitive channels. In the process, it will produce the security threats-primary user emulation attacks. When the attacker has detected the idle spectrum, he will send out a signal similar to the primary user’s signal in this band. The attacks will affect the secondary user detect the idle spectrum and the spectrum cannot be used effectively. An attacker occupies the unused channels by emitting a signal with similar form as the primary user’s signal so as to prevent other secondary users from accessing the vacant frequency bands. The performance of the proposed security model for cognitive radio channels would be evaluated in the performance parameters of security packet volume, authentication delay, security system overhead, etc. The trust and authentication based proposed model will be designed to offer the robust security level over the cognitive channel.

Published by: Mehakpreet Kaur, Navleen Kaur

Author: Mehakpreet Kaur

Paper ID: V2I3-1166

Paper Status: published

Published: June 9, 2016

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A Deterministic GPSR Routing Protocol for MANET

In VANET, the communication between the vehicles takes place. As the vehicles are in motion the main aim is to provide efficient routing. The position based routing protocol are better than topology based routing protocol. Working on GPSR routing protocol main aim is to improve the performance of the GPSR as well as E-GPSR routing protocol. The proposed methodology considers the border node and angle of orientation of the neighboring nodes. Based on this the D-GPSR outperforms the GPSR and E-GPSR routing protocol in terms of throughput, average end-to-end delay, packet delivery ratio and network load. D-GPSR is methodology and algorithm is studied in detailed.

Published by: Kumari Monika, Mr. Ashish Sharma

Author: Kumari Monika

Paper ID: V2I3-1165

Paper Status: published

Published: June 6, 2016

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Traffic Jam and Accident Detection Techniques

Traffic Jam is a crucial problem which is arising day by day in the whole world to overcome this problem many sensors or many algorithms have been developed for the detection of traffic jam. These sensors and algorithm played an important role in Traffic Jam Detection in every region in terms of accuracy, time of detection, signal management. This paper presents a review to the various algorithms proposed in the past.

Published by: Raveena Shaili, Sunil Pathania

Author: Raveena Shaili

Paper ID: V2I3-1164

Paper Status: published

Published: June 6, 2016

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Human Identification using Iris Recognition

Iris recognition is an invasive biometric technique used to identify human being. Iris is defined as annular region between pupil and sclera of human eye which exhibits extraordinary texture that is unique for each individual. Hence, imposes various challenges in accurate iris segmentation and feature extraction techniques to provide many opportunities for researchers in pursuing their research work in this area. This paper presents a study about different techniques used previously for iris recognition.

Published by: Geetanjali Sharma, Neerav Mehan

Author: Geetanjali Sharma

Paper ID: V2I3-1163

Paper Status: published

Published: June 6, 2016

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Palm Print: A Bio-Metric for Human Identification

As in today’s life security is main concern. So, a lot of researches are going in the field of security like password, security question, pattern matching and a very important approach is biometric security. So my work is to study about the palm print recognition to identify human. Palm print recognition system has proved its efficiency with many machine learning techniques like LBP, Repeated line tracking, junctions point matching. This paper is a comparison of different techniques. Previous research on palm print shows that palm codes from different palms are similar, with 〖45〗^°streaks.

Published by: Kalyani, Sunil Pathania

Author: Kalyani

Paper ID: V2I3-1162

Paper Status: published

Published: June 6, 2016

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