TELKOMNIKA ISSN: 1693-6930
Performance Evaluation of Gauss-Markov Mobi lity Model in Hybrid… Doan Perdana
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3.2 Simulation Procedure
Simulation scenario used in this paper constructs VANET topology with MNs which located in clusters connected by a roadside unit VANET static node utilizing the LTE. MNs
movement following the patterns of Gauss-Markov. Once established network model to be used for simulation, afterward set parameters that will be applied in this simulation. Table 3 and 4
shows the parameters used in the simulation process.
Figure 5 show that this paper have 3 parameter scenarios. For each scenarios, will have variation in number nodes. So, for parameter randomness there are 88 simulation, and for
parameter packetsize and datarate will have each 32 simulation. Every result from each parameter will be calculate with 95 of confidence level.
Table 3 Simulation parameter for hybrid LTE-VANET
Parameter Values
Simulation time 50 second
Number of MNs 5, 10, 20, 30, 40, 50, 60 and 70
Simulation Area 300 x 300 m
2
Subnet IP Address 192.168.1.024 for VANET, 1.0.0.08 for the
remote host, 7.0.0.08 for LTE network and 10.1.1.024 for peer-to-peer network.
Routing Protocol AODV for VANET and Static routing
Index of
Randomness α 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9
and 1.0 Packet Size
128, 256, 512, and 1024 byte Data Rate
128, 256, 512, and 1024 Kbps Transport Protocol
UDP Velocity
vmin = 3 ms and vmax =30 ms
Table 4 Simulation parameter and values for existing VANET
Parameter Values
Simulation time 50 second
Number of MNs 5, 10, 20, 30, 40, 50, 60 and 70
Simulation Field Area 300 x 300 m
2
Subnet IP Address 10.1.1.024 for VANET network.
Routing Protocol AODV for VANET
Index o f Randomness α 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9 and 1.0
Packet Size 128, 256, 512, and 1024 byte
Data Rate 128, 256, 512, and 1024 Kbps
Transport Protocol UDP
Velocity vmin = 3 ms and vmax =30 ms
Paused Time 0.5 s
Figure 5. Simulation scenarios divided into 3 parameter
ISSN: 1693-6930
TELKOMNIKA Vol. 15, No. 2, June 2017 : 606
– 621 612
3.3 Simulation Scenarios
