On Achievable QoS Bounds for Mobile IP through Rayleigh Channel in VANET

Автор: Richa Sharma, Jyoteesh Malhotra

Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs

Статья в выпуске: 8 Vol. 8, 2016 года.

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Vehicular Ad Hoc network is a versatile mobile wireless Ad-Hoc network targeted to support traffic monitoring, vehicular safety and many more applications. For the robust and reliable services in the VANET there is need to investigate the performance under frequent handovers in Mobile IP to prevent packet loss. Mobile IP is an interface that helps to track the mobile nodes and deliver messages even if vehicles are out of the coverage area of home node. In order to find the achievable performance bounds in terms of throughput, packet drop, collision rate and packet broadcast rate, extensive simulations have been done. A realistic city scenario has been proposed here by using the Rayleigh channel simulator, mobile IP enabled IEEE 802.11p OBUs and RSUs. The transmission powers of RSUs and threshold power levels have been varied to obtain the optimum performance through realistic conditions. Simulations are performed using NCTUns6.0 (National Chiao Tung University Network Simulator) in mobile IP interface.

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VANET, Mobile IP, NCTUns6.0, 802.11p, Rayleigh Fading, Transmission power

Короткий адрес: https://sciup.org/15012540

IDR: 15012540

Текст научной статьи On Achievable QoS Bounds for Mobile IP through Rayleigh Channel in VANET

Published Online August 2016 in MECS

The rest of the paper is structured as follows: In section II throws light on the problem statement which arises in the VANET framework. Section III presents brief overview of the simulation methodology used. Section IV shows the results obtained in with variable power and threshold in Rayleigh fading environment under results and discussion. At last section V concludes the paper.

  • II.    Problem Statement

Vehicular networks are envisioned for the continuous access to IP based applications and drive through internet. All these services are supported by road side units (RSU) that connects the VANET to foreign IP networks. Yet VANET suffers from asymmetric links due to frequent handovers caused by obstacles, mobility and dissimilar transmission powers, this leads to disruptions in maintaining bidirectional connections. This problem is somehow resolved by using mobile IP. Mobile IP is a current standard which supports IP mobility of mobile nodes in the wireless network with infrastructure even in foreign network without breaking connection. It enables the mobile node to change its access point without losing connection and access internet without disruption. Dynamically addressing should be done when vehicles moves from coverage area of its base station or access point [2]. When packets fail to reach to destination due to static addressing it has bad effect on QoS parameters, as packet drop increases due to failure to reach to destination under time variants also overall throughput of network also decreases. In this paper dynamic path movement is selected to move vehicles to any direction at any time which helps to decrease variants in throughput rate.

  • III.    Simulation Methodology and Environment

In order to compute the performance bounds through realistic channel conditions in VANET with mobile IP enabled nodes the following simulation scenario and methodology has been presented in this section. Simulator is a hardware or software application that provides an integrated, reliable and virtual environment to evaluate various QoS performance parameters in a network. NCTUns 6.0 provides simulation platform in this research work.

  • A.    Performance parameters

The following QoS parameters are used to evaluate the performance of VANET in mobile IP interface by varying power and threshold.

  •    Packet drop ratio basically defines the total number of packets failed to reach to its destination. Many factors like congestion, frequent fading, queue overloading and varying threshold can be reasons behind major packet drops.

  •    Collision rate defines the total number of packets collide per second. Packets delivery ratio will be high if collision rate is lesser which helps to increase the performance.

  •    Throughput rate parameter defines the average

number of successful reached incoming and outgoing packets on a particular network.

Throughput (KB/sec) = Σ (Number of incoming and outgoing packets at destination) * Packet size Σ Simulation Time

  •    Broadcasting rate parameter defines the broadcasting of incoming and outgoing packets on a specific network interface. All the packets broadcast over a network comes in broadcasting rate category.

  • B.    Simulation Scenario

A scenario is created here with variable transmission power and different carrier sense power threshold conditions under mobile IP interface. In simulation two ray ground propagation models can be used which considers both the ground reflection path and direct path. Two ray ground gives more accurate prediction for long distance than free space model. Different RSU have different values of provider service identifier. All RSU have variable services and when vehicles comes in range of RSU then it takes only 1 second to register to that particular RSU. Dynamic path movement is selected to move vehicles to any direction at any time. Following commands can be added in application tab of mobile node (MN) and PC to generate traffic.

Table 1. Passing Command between MN (Mobile Node) and PC

Identification

Command

Traffic generation command at sender side

Stg –i stg.conf 1.0.7.1 –p

2007

Traffic generation command at receiver side

Rtg –u –w log1 –p 2007

Moving vehicle command

Car Agent

Stg (Send traffic grapher) command is used to send traffic to both TCP and UDP nodes, it consists of IP address of receiver and it simulated the VoIP traffic where as Rtg (Receiver traffic grapher) command receives the traffic. Specifications of node information of scenario are listed in the table below.

Table 2. Node Information of the scenario

Node ID

Node Identification

Node Description

Node

12

OBU(For moving nodes)

Car Agent moving command is used in application phase of IEEE 802.11p OBU to generate traffic and all nodes generate traffic at receiver using rtg command.

Node 6,7,8,9

RSU (Road side units)

4 subnets are created, provider service information table is set with 1 second interval and home agent and foreign agent is set in mobile IP section.

Node

10

Router

All RSU’s are connected with router.

Node

11

PC

It generates traffic at sender side by using stg command.

Various simulation parameters used in physical layer and channel model are deployed according to the channel requirement as shown in table below.

Table 3. Simulation parameters

Parameters

Values

Frequency (MHz)

5860

Fading Variance

10.0

Fading

Rayleigh

Path loss model

Two Ray Ground

System Loss

1.0

Transmission Power (dbm)

28.8, 17.0

Threshold (dbm)

-80, -73

Antenna Gain (dbi)

1.0

MAC protocol

IEEE 802.11p

Traffic tool

Stg, Rtg

Mobility Model

Manhatten Grid

Speed (Kmph)

100

Simulation Time (sec)

400

Data Rates (Mbps)

8, 16

Communication

Full Duplex

Bit Error Rate

0.01

Using aforementioned simulation parameters simulations are performed using ‘run’ interface available in NCTUns 6.0 toolbar workplace.

transmission power. Only values up to 40 seconds are taken in figure, yet table IV describes various average values up to 400 simulation time. Fig 2 shows Packet drop ratio (PDR) of threshold for power of value 28.8. During simulation two values of threshold -80.0 and -73.0 are taken. It has been examined that for threshold value -73 packet drops are slight higher as compared to other. As lower the packet drops higher will be the packet delivery ratio, here due to less threshold value in case of -73 the packets are dropping at fast rate. Fig 3 shows the collision rate of both threshold values in Rayleigh fading environment for 28.8 power values. As higher the collision rate more packets will drop and this affects the throughput. It has been examined that for -73 threshold value collision rate is slightly lower than for -80.0. For -80.0 threshold value the collision rate has 3.15% average value slightly higher than 3.04%. Fig 4 shows the throughput rate of incoming and outgoing packets for both threshold values. This figure examined that for threshold -73 the average value is 111.01% higher than 108.76% of -80 thresholds. Higher the throughput rate more will be the productivity. Fig 5 shows broadcast rate of incoming and outgoing packets of both threshold values for power 28.8. It has been examined that broadcast rate is higher for -80 threshold value by an average value of 4.63%. It is concluded that for power 28.8 the threshold value i.e -73 has higher throughput rate and lesser collision rate yet there is slight downfall in packet drop.

Fig.1. Mobile IP Scenario with OBU at home network.

Fig.2. PDR ratio for power 28.8 in mobile IP environment for both threshold values

  • IV. Result and Discussion

This section outlines the result obtained from the evaluation of QoS parameters in the mobile IP interface. Subsection A shows the effect of changing carrier sense power threshold taking 28.8 power in mobile ip environment while subsection B shows light on effect of changing threshold taking 17.0 power in mobile IP realistic environment. In both these subsections Rayleigh fading is used to simulate realistic environment.

  • A. Scenario 1: QoS at RSU= 28.8

The performance is examined in mobile IP interface taking threshold values -80.0 and -73.0 with 28.8

Fig.3. Collision rate for power 28.8 in mobile IP environment for both threshold values

Fig.4. Throughput rate of incoming and outgoing packets for power 28.8 in mobile IP environment for both threshold values

Fig.5. Broadcast rate of incoming and outgoing packets for power 28.8 in mobile IP environment for both threshold values

  • B.    Scenario 2: QoS at RSU= 17.0

The performance of VANET is analyzed in mobile IP environment for power 17.0 with variable carrier sense power threshold value while keeping speed constant at 100kmph. Fig 6 shows packet drop ratio of both threshold values -80.0 and -73.0 for power 17.0. It has been examined that for -73 thresholds value has 1.9% average value slightly higher than 0.43% average value of -80 thresholds. Fig 7 shows collision rate of both threshold values for power 17.0 and it is examined that -80 threshold values has slightly higher collision rate as compared to other threshold value. As greater the collision rate more the packet delivery ratio is effected and lesser will be the throughput. Fig 8 shows light on throughput rate of incoming and outgoing packets of both threshold values for power 17.0 and examined that throughput rate for -73 value of threshold has average value of 128.9% very much greater than other. Higher throughput rate depicts greater delivery ratio and lesser packet drop ratio. Fig 9 show the broadcast rate of incoming and outgoing packets and examined that broadcast rate is higher for -80 threshold value by 3.0% average value. It is concluded that even if we decrease power to 17.0 the threshold value for -73 has higher throughput rate and lesser packet drop and collision rate. Table IV shows light on various average values of both thresholds at different power rates.

Fig.6. PDR ratio for power 17.0 in mobile IP environment for both threshold values.

Collision Rate (RSU Power= 17.0)

—♦—Threshold = -80.0 -e-Threshold=-73.0

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39

Time (Second)

Fig.7. Collision rate for power 28.8 in mobile IP environment for both threshold values

Fig.8. Throughput rate of incoming and outgoing packets for power 28.8 in mobile IP environment for both threshold values

Fig.9. Broadcast rate of incoming and outgoing packets for power 28.8 in mobile IP environment for both threshold values

Table 4. Simulation results of various threshold values in mobile IP environment.

Different average values in mobile IP environment

Power 28.8

Power 17.0

Threshold -80.0

Threshold -73.0

Threshold -80.0

Threshold -73.0

Packet drop ratio

4.43

4.49

5.08

3.53

Collision rate

3.15

3.04

2.91

1.93

Through put rate (Kbps)

108.76

111.01

126.45

127.5

Broadcas t rate

4.63

4.53

3.65

2.64

  • V. Conclusions

The main accent of this paper is to analyze the performance of QoS parameters for VANET in mobile IP environment using IEEE 802.11p MAC standard using different threshold and transmission power values. Using 28.8 transmission power the threshold value of -73 has greater throughput rate which helps to increase productivity and packet delivery ratio, also the collision rate is lower in case of -73 threshold. Yet there is slight downfall in packet drop. Whereas simulation results of 17.0 transmission power has also higher throughput rate of 127.5% as compared to -80 threshold values. In this case also the packet drops and collision rate is greater for -80 thresholds. This concludes that even if we decrease power there are vibrantly good results for lesser threshold values. All the simulation results are incorporated using 400 simulation time and average values are calculated. These simulation results shows the acceptable improvement of QoS parameters in terms of throughput, packet drop and collision rate. VANET is a vast field and attracted much attention from research community, yet some issues need to be resolved like delay and improved path connectivity.

Acknowledgment

The authors wish to thank our friends, parents and faculty of GNDU RC Jalandhar for their valuable guidance and support.

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