On fast moving life, time management has become an important factor. Objective of this paper is to implement features of high range vehicles even in middle range vehicles through few performance metric improvements. The parametric and non-parametric analysis is applied to evaluate vibration modes. In a Vehicular Ad hoc Network (VANET), vehicles communicate with each other through Dedicated Short-Range Communication (DSRC) wireless devices. Equipped with hundreds of smart sensors, vehicles can detect their own parameters (such as braking, lane changes, and acceleration) and road conditions (such as icy roads and weather conditions).Vehicular ad hoc networks, the spontaneous creation of a wireless network for data exchanges, are used for clustering data. Quantitative data analysis is carried out for decision making.
High Peak to Average Power Ratio (PAPR) of OFDM reduces transmitter power efficiency and increases complexity in hardware implementation. In the paper, the high PAPR is reduced using optimized Standard Deviation based Iterative Clipping and Filtering (SD-ICF).The proposed method achieves a greater reduction in PAPR in a few iterations with reduced out-of-band distortion and bit error rate when compared over classical clipping techniques.Also, the effects of oversampling on the performance of proposed OFDM system is discussed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.