Poster Presentation of the 3rd IEEE Int. Conf. on ICIEV’14

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The vehicular safety message feature is applied to avoid accident or collision avoidance on each vehicle. Analyzed the impact of IDM-IM and IDM-LC on AODV, AOMDV, DSDV and OLSR routing protocols in an urban scenario of Dhaka city. Recommend several concerns (drop rate, delay, jitter, route cost) before developing a realistic vehicular safety applications.

Transcript of Poster Presentation of the 3rd IEEE Int. Conf. on ICIEV’14

Page 1: Poster Presentation of the 3rd IEEE Int. Conf. on ICIEV’14

Impact of Two Realistic Mobility Models for Vehicular Safety Applications

Md. Habibur Rahman and Mohammad NasiruddinDept. of Computer Science

American International University-Bangladesh and Univ. Grenoble Alpes-France

Contribution

• The vehicular safety message feature is applied to avoid accident or collision avoidance on each vehicle

• Analyzed the impact of IDM-IM and IDM-LC on AODV, AOMDV, DSDV and OLSR routing protocols in an urban scenario of Dhaka city

• Recommend several concerns (drop rate, delay, jitter, route cost) before developing a realistic vehicular safety applications

Objectives

• To see the traffic condition of a Megacity like Dhaka

• To incorporate PBC agent for vehicular safety message transmission among vehicles to avoid accident or collision avoidance

• Design a realistic mobility scenario (Fig. 1) using VanetMobiSim

• Combined the stop signals, traffic lights and activity based realistic macro-mobility for smart intersection management and lane change

Figure 1. Vehicular mobility scenario

Conclusion

• Existing four routing protocols, and two mobility models were not up to the mark for each parameter of QoS metrics/other performance metrics for vehicular safety applications

• A robust routing protocol is required for VANETs before developing a realistic safety application of VANET

Result Analysis

Protocol Mobility model PDR (%) Drop (%) Avg. throughput (kbps)

AODV IDM-IM 42.53 57.47 229.14

IDM-LC 42.06 57.94 225.53

AOMDV IDM-IM 11.076 0.015 1.171

IDM-LC 10.595 0.014 1.165

DSDV IDM-IM 1.048 0.003 1.000

IDM-LC 0.993 0.003 1.000

Protocol Mobility model NRL Route cost Mean hop

AODV IDM-IM 49.745 0.057 1.793

IDM-LC 50.508 0.056 1.843

AOMDV IDM-IM 42.30 57.70 228.09

IDM-LC 42.78 57.22 229.75

DSDV IDM-IM 29.91 70.09 159.83

IDM-LC 32.58 67.42 147.72

OLSR IDM-IM 47.08 52.92 252.57

IDM-LC 45.77 54.23 245.00

OLSR IDM-IM 2.234 0.006 1.000

IDM-LC 2.273 0.006 1.000

Quality Evaluation Metrics

• Drop, Delay, Jitter,

• Avg. Throughput,

• Normalized Routing Load, Route Cost,

• Packet Delivery Ratio, Mean Hop,

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Figure 2. Delay for AODV Figure 3. Delay for AOMDV

Figure 4. Delay for DSDV Figure 5. Delay for OLSR

Figure 6. Jitter for AODV Figure 7. Jitter for AOMDV

Figure 8. Jitter for DSDV Figure 9. Jitter for OLSR

Table 3. PDR, Drop rate & Avg. Throughput of routing protocols

Table 4. NRL, Route cost & Mean hop of routing protocols

Parameter Value

MAC Type IEEE 80211p

Channel Type Wireless

Mobility Model IDM-IM, IDM-LC

Simulation Area 1000 X 1000 m2

Simulation Time 100s

Traffic Model 40 CBR connection

Packet Size 512 byte

No. Of Vehicles 100

Vehicle Speed 10 - 80 Km/hr

Packet Rate 4 packets/s

Radio Propagation

ModelNakagami

Routing ProtocolsAODV, AOMDV,

DSDV, OLSR

Table 2. Simulation Parameters Table 1. Vehicular Mobility Parameters

Parameter Value

Max. Acceleration 0.6m/s2

Max. Deceleration 0.9m/s2

Vehicle Length 5m

Min. Congestion

Distance1m

Safe Headway Time 0.5s

Visibility Distance 200m

No. Lane 2

Max. Multi-lane Road 10

Politeness 0.5

Lane Change Threshold 0.5m/s2

Traffic Light Transition 10s

No. interaction with

traffic light500