Search

Vehicular Adhoc Network (VANET) is the emerging technology which enables the vehicles to communicate using wireless technologies. VANET is developed for providing the safety purpose and driving comfort to the people. VANET use the vehicle as moving nodes as in MANET (Mobile Adhoc Network). The communication among vehicles is done by using the efficient routing protocols which direct the routes. This communication can be direct within the vehicles or it can be between vehicles and road side units (RSUs). In this paper we exploit three routing protocols of VANET which are GPSR, DSDV and BMFR by comparing their three parameters throughput, end to end delay and number of packets dropped during communication. As we study out of this three protocols BMFR and GPSR are position based routing protocol and DSDV is topology based routing. In this paper we also simulate these protocols using NS2 simulator and using the standard protocol i.e. IEEE 802.11 p in Vehicular Adhoc Network. [ABSTRACT FROM AUTHOR]

Vehicular Ad-hoc Network (VANET) in the recent years brings enormous attention of the Researchers as the concept of wireless networking for vehicle to vehicle (V2V)and vehicle Roadside Units (RSUs) or (V2I) plays a significant role in providing advantage, benefits to the drivers, passengers and also provides high level of security. VANET has become an active area of research, standardization, and Development but still it has some challenges in research study like routing, broadcasting, quality of service etc. In this paper we survey on some routing protocols used in Vehicular Ad-hoc Network which provides the way for communication. In addition, the comparison is done between different routing protocols using the parameters throughput, end to end delay and no of packets dropped for to conclude which one is better to use in VANET. [ABSTRACT FROM AUTHOR]

In many applications, unimodal biometric systems often face significant limitations due to sensitivity to noise, intra class variability, data quality, pressure, dirt, dryness and other factors. Multimodal biometric authentication systems aim to fuse two or more physical or behavioral traits to provide optimal Genuine Acceptance Rate (GAR) Vs Imposter Acceptance Rate (IAR) curve i.e. Receiver's Operating Characteristic (ROC). Soft biometrics can be used to improve the performance of traditional biometrics. The equipment used for softbiometric is low in cost and methods are easy to understand. The aim of this paper is to examine whether easily measurable characteristics such as weight, gender etc with the finger geometry and knuckle print can improve the verification process in biometrics. Each biometric trait produces a varied range of scores i.e. heterogeneous scores. Various scores normalization techniques have been developed for fusion of such scores. Whereas this paper presents a technique for producing compatible scores (homogeneous). Decision level AND rule can be used to show the improvement of the combined scheme. This approach is useful for low security requirements. Also use of softbiometrics such as body weight with primary can reduce the Total Error Rate. [ABSTRACT FROM AUTHOR]