A Safety Enhancement Broadcasting Scheme Based on Context Sensing in VANETs

Abstract EN

The broadcasting plays a vital role for context awareness in VANETs (Vehicular Ad Hoc Networks) whose primary goal is to improve the driving safety depending on effective information exchanging.

In this paper, based on the LQG (linear quadratic Gaussian) optimal control theory, a broadcasting control scheme named LQG-CCA is proposed to improve the network throughput thus increasing the opportunities for the safety-related events to be successfully handled.

By predicting the network throughput with the Kalman filter model, our LQG model is envisioned to minimize the difference between the predicted and expected throughput through the adjustment of CCA (Clear Channel Assessment) sensing threshold.

Numerical results show that our proposed model can significantly improve the network performance in terms of average throughput, average End-to-End delay, and average packets delivery ratio compared with a highly cited work D-FPAV and a latest published model APPR.