Performance Evaluation of Gauss-Markov Mobility Model in Hybrid LTE-VANET Networks

Vehicular Ad-hoc Network (VANET) developed based on mobile ad-hoc networks (MANET). VANET have different characteristics than MANET, on VANET mobile node (MN) moves faster, topology changes dynamically. The previous research shows that the model of mobility affects to the network performance. In this paper, the Gauss-Markov mobility model used to illustrate the motion of the MN, which illustrates changes of acceleration, speed, location, and direction at any time. This paper enriches the evaluation of the performance of Gauss-Markov mobility model on LTE-VANET hybrid network, by evaluating various network performance metrics, particularly, packet delivery ratio (PDR), throughput, and delay. This research evaluated the Gauss-Markov mobility model and performed with the number of nodes and randomness index (α) that varies by utilizing NS-3 software. The results show that there is a strong correlation between PDR, throughput, and delay with the addition number of MNs. Based on the simulation result, the hybrid LTE-VANET produce better delay compared to pure VANET. The average delay is smaller 40% compared to pure VANET. This simulation also concludes that different value of alpha on Gauss-Markov mobility model does not influence PDR, throughput, and delay

Simulation study on the impact of the transmission power on the performance of routing protocols under different mobility models

© 2014 IEEE. the dynamic topology of a mobile ad hoc network poses a real challenge in designing the routing protocol. This paper examine through simulation the fundamental factors, mobility models and transmission power which have a major impacts on the performance of position based routing protocols. We analyse the effect of the transmission power of on the performance of protocols under two different mobility models. Using OPNET simulation tool, results show the evaluation and performance of the proposed protocol under a unified simulation environment for different scenarios