Optimization of Power-Efficient Vehicular Networks in Rate Adaptation Algorithms

Abstract

One of the major drawbacks of mobile nodes in wireless networks is power management. Our goal is to propose an adaptive rate adaptation algorithm with the integration of power control scheme that will minimize energy consumption by appropriate adjustment of vehicle's transmitter power, reduce network congestion, improve the quality of service and collision avoidance in vehicular networks. ACARS is able to minimize the total transmit power in the presence of propagation processes and mobility of vehicles, by adapting to the rapidly varying channels conditions compared to other rate adaptation algorithms. Power control mechanism has been optimized in ACARS and existing rate adaptation algorithms and results show that ACARS performs better than existing rate adaptation algorithms by achieving low energy consumption than the other rate adaptation schemes, this is because ACARS have good adaptation to signal-to-noise ratio (SNR) from the physical layer (PHY) layer and rapid adaptation to propagation effects.