SlideShare a Scribd company logo

Evaluate and Analysis of MAC Protocols for VANET

Download as PPTX, PDF
Scott Turner, profile picture
Scott Turner

The project evaluates medium access control (MAC) protocols for vehicular ad hoc networks (VANETs) to enhance reliability and reduce delays in delivering safety-related messages while meeting quality of service (QoS) for non-safety messages. It discusses the architecture of VANETs, the IEEE WAVE MAC protocol, and simulations conducted to compare multi-channel and single-channel performance under varying traffic densities and message types. The results indicate that single-channel performance is generally superior in low-density scenarios, while both protocols have different efficiencies under high-density conditions.

Engineering
1 of 44
Downloaded 75 times
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
By Mina Alaa Hussein Supervisor: Assist. Prof. Dr. Mohammed A. Abdala Dr. Ali Al-Sherbaz 9/12/2014 11:24 PM 1
 Aim of Project  Introduction  Background of multi-channel protocol  The problems  Simulation  Results  Conclusion 9/12/2014 11:24 PM 2
Aim of Project  Introduction  Background of multi-channel protocol  The problems  Simulation  Results  Conclusion 9/12/2014 11:24 PM 3
 The project aims to evaluate and analyse of Medium Access Control (MAC) protocol for Vehicular Ad hoc Networks (VANETs) to achieve high reliability and low delay delivery of safety related messages as well as provide QoS requirements for non-safety messages. 9/12/2014 11:24 PM 4
9/12/2014 11:24 PM 5 Wish to know about traffic jam condition at next turn or road condition ahead Wish to avoid accidents or have advance information if any met with an accidents on the road ahead
9/12/2014 11:24 PM 6 Wish to have prior alert, of vehicle in front of you is applying breaks
 Aim of Project  Introduction  Background of multi-channel protocol  The problems  Simulation  Results  Conclusion 9/12/2014 11:24 PM 7
 VANET (Vehicular Ad-Hoc Networks): is the technology of building a robust Ad-Hoc network between mobile vehicles and between mobile vehicle and roadside units  VANETs are classified as an application of Mobile Ad Hoc Network (MANET) that has the potential in improving road safety and in providing travelers comfort.  VANET applications are classified into two types, safety application and non-safety applications.  Compared with MANET, VANET has more frequent path loss, a shorter link life-time, and lower packet throughput as a result of high mobility, road environment, and volume of traffic. 9/12/2014 11:24 PM 8
9/12/2014 11:24 PM 9
 Predictable mobility  Providing safe driving, improving passenger comfort and enhancing traffic efficiency  No power constraints  Variable network density  Rapid changes in network topology  Large scale network  High computational ability 9/12/2014 11:24 PM 10
 Aim of Project  Introduction  Background of multi-channel protocol  The problems  Simulation  Results  Conclusion 9/12/2014 11:24 PM 11
 IEEE WAVE MAC Protocol (IEEE 802.11p+IEEE 1609.4)  IEEE 802.11p uses CSMA/CA  provide data rate from 3 to 27 mbps and bandwidth with 10 MHz and communication distance from 300-1000 m distance.  uses EDCA QoS extension defined in IEEE 802.11e.  IEEE 1609.4 standard enhances the operation of IEEE802.11P by supporting multi-channel operation Figure 1. Channel allocation for WAVE according to FCC 9/12/2014 11:24 PM 12
Data rates : 6 to 54Mbps signal bandwidth : 20 MHz Symbol duration: 4 ㎲ Guard Time: 0.8 ㎲ FFT period: 3.2 ㎲ Preamble duration: 16 ㎲ CW min: 15 CW max: 1023 9/12/2014 11:24 PM 13 Wi-Fi 802.11 a/b/g WAVE 802.11P Data rates : 3 to 27 Mbps Signal bandwidth : 10 MHz Symbol duration : 8㎲ Guard Time : 1.6 ㎲ FFT period: 6.4 ㎲ Preamble duration: 32 ㎲ CW min: 15 CW max: 1023
9/12/2014 11:24 PM 14 Implemented part
 Aim of Project  Introduction  Background of multi-channel protocol The problems  Simulation  Results  Conclusion 9/12/2014 11:24 PM 15
9/12/2014 11:24 PM 16
 Aim of Project  Introduction  Background of multi-channel protocol  The problems Simulation  Results  Conclusion 9/12/2014 11:24 PM 17
OMNeT++ is a popular open source simulator SUMO (Simulation of Urban Mobility) Veins is an open source framework for running vehicular network simulations. 9/12/2014 11:24 PM 18
Scenarios: Multi-channel & Single-channel 9/12/2014 11:24 PM 19 highway Low density Queue size=1 A B Only Safety messages Queue size=2 Safety & non-safety A B Implemented Using Queue size=5 Or A B High density Queue size=1 A B Queue size=2 A B Queue size=5 A B messages Case A: Beacon length=100, packet length= 800 Case B: Beacon length=400, packet length= 1000
 M1 junction 14 to junction 15  Street length: 2 Km  Number of lanes=3  Speed range: 80 km/h (50 m/h) to 160 km/h (100 m/h)  acceleration=2.6 m/s²  Length of vehicle=5,10 m  Min. Gap=2.5 m  Krauss Mobility Model  Number of vehicle:  Low density: ~12vehicle/km/lane  High density: ~25vehicle/km/lane 9/12/2014 11:24 PM 20
9/12/2014 11:24 PM 21
9/12/2014 11:24 PM 22
 Aim of Project  Introduction  Background of multi-channel protocol  The problems  Simulation Results  Conclusion 9/12/2014 11:24 PM 23
Beacon Delay -msec 4.183 4.183 3.939 3.655 3.655 2.681 2.564 2.73 2.79 3.655 2.659 2.79 3.602 3.65 9/12/2014 11:24 PM 24  Only safety messages used 2.687 2.56 2.863 2.77 4.37 4.936 2.711 2.601 4.232 3.602 30 25 20 15 10 5 0 low density, single channel high density, single channel low density,multi channel high density, multi channel Q=1,B=100,P=800 Q=2,B=100,P=800 Q=5, ,B=100,P=800 Q=1,B=400, P=1000 Q=2,B=400, P=1000 Q=5,B=400, P=1000
Beacon Throughput- Mbps 0.127 0.4985 0.4985 0.511 0.47006 0.47 0.47 0.12084 0.074 0.289 0.296 0.0716 0.0716 0.2741 0.159 0.13 9/12/2014 11:24 PM 25  Only safety messages used 0.138 0.1514 0.0809 0.0728 0.126 0.073319 0.082 0.1203 2 1.8 1.6 1.4 1.2 1 0.8 0.6 0.4 0.2 0 low density, single channel high density, single channel low density,multi channel high density, multi channel Q=1,B=100,P=800 Q=2,B=100,P=800 Q=5, ,B=100,P=800 Q=1,B=400, P=1000 Q=2,B=400, P=1000 Q=5,B=400, P=1000
9/12/2014 11:24 PM 26  Only safety messages used low density, single channel Lost Packet high density, single channel low density,multi channel high density, multi channel 35000 30000 25000 20000 15000 10000 5000 0 Q=5,B=400, P=1000 540 2579 1298 5486 Q=2,B=400, P=1000 1095 3228.9 1298 5486 Q=1,B=400, P=1000 742.3 3228.9 1987 5486 Q=5, ,B=100,P=800 1204.7 2579 3079 4689 Q=2,B=100,P=800 832.2 2483 1306 4820 Q=1,B=100,P=800 900 2272 8908 4689
 both safety and non-safety messages used Beacon Delay- msec 4.509 3.7013 4.5453 3.39 4.348 4.265 4.868 3.23 3.987 4.681 4.066 9/12/2014 11:24 PM 27 3.399 4.095 4.761 4.121 3.316 4.275 4.584 4.368 3.23 4.006 4.925 3.2405 4.261 30 25 20 15 10 5 0 low density, single channel high density, single channel low density,multi channel high density, multi channel Q=1,B=100,P=800 Q=2,B=100,P=800 Q=5, ,B=100,P=800 Q=1,B=400, P=1000 Q=2,B=400, P=1000 Q=5,B=400, P=1000
 both safety and non-safety messages used 9/12/2014 11:24 PM 28 350 Data Delay- msec low density, single channel high density, single channel low density,multi channel high density, multi channel 300 250 200 150 100 50 0 Q=5,B=400, P=1000 5.462 7.4603 53.579 58.181 Q=2,B=400, P=1000 4.316 5.3594 52.98 53.83 Q=1,B=400, P=1000 4.128 4.347 51.879 51.6 Q=5, ,B=100,P=800 4.69 6.897 55.08 57.37 Q=2,B=100,P=800 4.128 4.927 52.928 53.7 Q=1,B=100,P=800 3.814 4.174 51.531 51.28
 both safety and non-safety messages used 9/12/2014 11:24 PM 29 Lost Packet low density, single channel high density, single channel low density,multi channel high density, multi channel 3500000 3000000 2500000 2000000 1500000 1000000 500000 0 Q=5,B=400, P=1000 289075 629671 104445 205710 Q=2,B=400, P=1000 258173 535779 46743 85325 Q=1,B=400, P=1000 270792 412153 21503 45313 Q=5, ,B=100,P=800 360661 707406 183571 20568 Q=2,B=100,P=800 322750 579715 49288 93207 Q=1,B=100,P=800 263108.9 449010 21361 42883
 both safety and non-safety messages used Throughput of Beacon- Mbps 9/12/2014 11:24 PM 30 low density, single channel high density, single channel low density,multi channel high density, multi channel 2 1.8 1.6 1.4 1.2 1 0.8 0.6 0.4 0.2 0 Q=5,B=400, P=1000 0.1259 0.142 0.2871 0.475 Q=2,B=400, P=1000 0.128 0.0383 0.2689 0.463 Q=1,B=400, P=1000 0.1339 0.171 0.285 0.466 Q=5, ,B=100,P=800 0.0349 0.0394 0.147 0.1186 Q=2,B=100,P=800 0.036 0.041429 0.0798 0.128 Q=1,B=100,P=800 0.0386 0.0437 0.06923 0.122
 both safety and non-safety messages used 9/12/2014 11:24 PM 31 Throughput of Data - Mbps low density, single channel high density, single channel low density,multi channel high density, multi channel 0.35 0.3 0.25 0.2 0.15 0.1 0.05 0 Q=5,B=400, P=1000 0.0559 0.03265 0.0144 0.006415 Q=2,B=400, P=1000 0.055 0.06511 0.008599 0.00435 Q=1,B=400, P=1000 0.0626 0.0369 0.005599 0.003005 Q=5, ,B=100,P=800 0.0462 0.0291 0.01085 0.00537 Q=2,B=100,P=800 0.0454 0.02928 0.00627 0.00349 Q=1,B=100,P=800 0.05131 0.02905 0.00505 0.00236 Q=1,B=100,P=800 Q=2,B=100,P=800 Q=5, ,B=100,P=800 Q=1,B=400, P=1000 Q=2,B=400, P=1000 Q=5,B=400, P=1000
 By setting CWmin=500 Improved 58% 9/12/2014 11:24 PM 32 21361 8951 25000 20000 15000 10000 5000 0 lost packet CWmin=15 CWmin=255
 By setting CWmin=500 9/12/2014 11:24 PM 33 Beacon Throughput- Mbps 0.06923 0.073108 0.074 0.073 0.072 0.071 0.07 0.069 0.068 0.067 Increased CWmin=15 CWmin=255 5%
 By setting CWmin=500 Decreased 5% 9/12/2014 11:24 PM 34 4.68 4.473 4.7 4.65 4.6 4.55 4.5 4.45 4.4 4.35 Beacon Delay- msec CWmin=15 CWmin=255
 By setting CWmin=500 9/12/2014 11:24 PM 35 Increased 51.531 55.43 56 55 54 53 52 51 50 49 Data Delay- msec 5% CWmin=15 CWmin=255
 By setting CWmin=500 9/12/2014 11:24 PM 36 Data Throughput- Mbps Increased 0.00505 0.012266 0.014 0.012 0.01 0.008 0.006 0.004 0.002 0 CWmin=15 CWmin=255 58%
 Aim of Project  Introduction  Background of multi-channel protocol  The problems  Simulation  Results  Conclusion 9/12/2014 11:24 PM 37
For safety messages scenario: Throughput of beacon:  For both safety and non-safety messages scenario: 9/12/2014 11:24 PM 38 Single-channel>Multi-channel • For low density [25.6%] • For high density [6%] Single-channel low density< high density [67%] Multi-channel low density< high density [59%] Single-channel<Multi-channel • For low density [56%] • For high density [73%] Single-channel low density> high density [4%] Multi-channel low density< high density [35.8%]
For safety messages scenario: Delay of beacon:  For both safety and non-safety messages scenario: 9/12/2014 11:24 PM 39 Single-channel<Multi-channel • For low density [36%] • For high density [26%] Single-channel low density≈ high density Multi-channel low density> high density [15.5%] • For low density Single-channel<Multi-channel[28%] • For high density Single-channel ≈ Multi-channel Single-channel low density< high density [21.4%] Multi-channel low density> high density [6%]
For safety messages scenario: Lost Packets:  For both safety and non-safety messages scenario: 9/12/2014 11:24 PM 40 Single-channel<Multi-channel • For low density [70%] • For high density [46%] Single-channel low density< high density [67%] Multi-channel low density< high density [41%] Single-channel>Multi-channel • For low density [75%] • For high density [85%] Single-channel low density< high density [46.7%] Multi-channel low density< high density [13%]
9/12/2014 11:24 PM 41  For both safety and non-safety messages scenario:  Data Delay:  Data Throughput: Single-channel<Multi-channel • For low density [91%] • For high density [89%] Single-channel low density< high density [21%] Multi-channel low density< high density [2%] Single-channel>Multi-channel • For low density [83%] • For high density [88%] Single-channel low density> high density [29.7%] Multi-channel low density>high density [50%]
 For only safety messages single-channel protocol better than multi-channel protocol  For both safety and non-safety messages multi-channel protocol better than single-channel protocol 9/12/2014 11:24 PM 42
 Enhancing IEEE 802.11p single-cahnnel protocol by using CWmin= 500.  Develop the protocol for multi-hop system.  Test the protocol performance in urban scenario and investigate the effect of obstacles. 9/12/2014 11:24 PM 43
9/12/2014 11:24 PM 44

More Related Content

PDF
Employing non-orthogonal multiple access scheme in UAV-based wireless networks
journalBEEI
 
PDF
Determination of optimum fft for wi max under different fading
IAEME Publication
 
PDF
802.11-2012 Update
Savvius, Inc
 
PPTX
Performance Evaluation Of IEEE 802.11p For Vehicular Communication Networks
Amir Jafari
 
PDF
Hands-On Networking Fundamentals 2nd Edition Michael Palmer Test Bank
azlanrongeie
 
PDF
Hands-On Networking Fundamentals 2nd Edition Michael Palmer Test Bank
kinnpvemn881
 
PDF
Hands-On Networking Fundamentals 2nd Edition Michael Palmer Test Bank
magizolle
 
PDF
Link Planner Proposal Report, Estudio de Enlace Inalambrico 5.8 GHz
Jhon Pillaca Salazar
 
Employing non-orthogonal multiple access scheme in UAV-based wireless networks
journalBEEI
 
Determination of optimum fft for wi max under different fading
IAEME Publication
 
802.11-2012 Update
Savvius, Inc
 
Performance Evaluation Of IEEE 802.11p For Vehicular Communication Networks
Amir Jafari
 
Hands-On Networking Fundamentals 2nd Edition Michael Palmer Test Bank
azlanrongeie
 
Hands-On Networking Fundamentals 2nd Edition Michael Palmer Test Bank
kinnpvemn881
 
Hands-On Networking Fundamentals 2nd Edition Michael Palmer Test Bank
magizolle
 
Link Planner Proposal Report, Estudio de Enlace Inalambrico 5.8 GHz
Jhon Pillaca Salazar
 

Similar to Evaluate and Analysis of MAC Protocols for VANET (20)

PPTX
Long-Range Low-power Radio (LoRa).pptx
Ajay Gangakhedkar
 
PPT
Business Model Concepts for Dynamically Provisioned Optical Networks
Tal Lavian Ph.D.
 
PDF
Capacity dimension for planning and commissioning
bayesianlstm
 
PPTX
Commscope-Andrew SBNHH-1D65A
savomir
 
PDF
6850 product-line-card-extreme wireless
N-TEK Distribution
 
PDF
6850 product-line-card-extreme wireless
ducthang91
 
PDF
Hands-On Networking Fundamentals 2nd Edition Michael Palmer Test Bank
yoruspascov
 
PDF
Intelligent transportation systems
Engin Karabulut
 
PDF
Admission control for multihop wireless backhaul networks with qo s
Pfedya
 
PDF
SOMPA_Wireless_and_WiFi_solutions(E)_rev.1.3_082016
Chanho Lee
 
PDF
Project report_new_pdf
tiwarivinit
 
PPTX
Michalr
smithmichal99
 
PDF
Low-Loss and High-Bandwidth Multimode Polymer Waveguide Components Using Refr...
Jian Chen
 
PPTX
WiOpt2015_v1.0
Rajeev Panjiyar
 
PDF
Understand water laser communication using Arduino laser and solar panel
NaveenBotsa
 
PPTX
Interference-Aware Multipath Routing In Wireless Sensor NetworksMinor projr...
Rakesh Behera
 
PPTX
Commscope-Andrew LDF12-50
savomir
 
PPTX
Kaelus DBC2037F1V1-1
savomir
 
PPTX
Andrew 641280-DF-9-DCB
savomir
 
PDF
Ihab Eltahan's C.V.
Ihab EL-Tahan
 
Long-Range Low-power Radio (LoRa).pptx
Ajay Gangakhedkar
 
Business Model Concepts for Dynamically Provisioned Optical Networks
Tal Lavian Ph.D.
 
Capacity dimension for planning and commissioning
bayesianlstm
 
Commscope-Andrew SBNHH-1D65A
savomir
 
6850 product-line-card-extreme wireless
N-TEK Distribution
 
6850 product-line-card-extreme wireless
ducthang91
 
Hands-On Networking Fundamentals 2nd Edition Michael Palmer Test Bank
yoruspascov
 
Intelligent transportation systems
Engin Karabulut
 
Admission control for multihop wireless backhaul networks with qo s
Pfedya
 
SOMPA_Wireless_and_WiFi_solutions(E)_rev.1.3_082016
Chanho Lee
 
Project report_new_pdf
tiwarivinit
 
Michalr
smithmichal99
 
Low-Loss and High-Bandwidth Multimode Polymer Waveguide Components Using Refr...
Jian Chen
 
WiOpt2015_v1.0
Rajeev Panjiyar
 
Understand water laser communication using Arduino laser and solar panel
NaveenBotsa
 
Interference-Aware Multipath Routing In Wireless Sensor NetworksMinor projr...
Rakesh Behera
 
Commscope-Andrew LDF12-50
savomir
 
Kaelus DBC2037F1V1-1
savomir
 
Andrew 641280-DF-9-DCB
savomir
 
Ihab Eltahan's C.V.
Ihab EL-Tahan
 
Ad

More from Scott Turner (20)

PPTX
AI Data Engineering for SMEs - some tricks and tools
Scott Turner
 
PPTX
Practical ways to analyse twitter data - new challenges
Scott Turner
 
PPTX
Socmedhe more than a conference
Scott Turner
 
PPTX
Computing and HealthCare Activity at CCCU - computing Team
Scott Turner
 
PPT
Problem solving and programming
Scott Turner
 
PPTX
Benevolent machine learning and ai
Scott Turner
 
PPTX
Benevolent machine learning sgs
Scott Turner
 
PPTX
You too can analyse social media - well twitter
Scott Turner
 
PPT
Demystifying Blockchain for businesses
Scott Turner
 
PPTX
Benevolent machine learning
Scott Turner
 
PPTX
Volunteering, It is good for the students, communities and the University : R...
Scott Turner
 
PPTX
Code club talk 18 7 2018 - Robots
Scott Turner
 
PPTX
Games in Teaching Programming: HE Perspective
Scott Turner
 
PPTX
Robots Talk British Computer Society Northampton_17_4_2018
Scott Turner
 
PPTX
Blockchain
Scott Turner
 
PPT
Blinking leds
Scott Turner
 
PPTX
The answer's not on the screen
Scott Turner
 
PPTX
Experience of using Spreadsheets as a bridge in the understanding of AI techn...
Scott Turner
 
PPTX
Junkbots 2017
Scott Turner
 
PDF
Pyconuk16 junkbots
Scott Turner
 
AI Data Engineering for SMEs - some tricks and tools
Scott Turner
 
Practical ways to analyse twitter data - new challenges
Scott Turner
 
Socmedhe more than a conference
Scott Turner
 
Computing and HealthCare Activity at CCCU - computing Team
Scott Turner
 
Problem solving and programming
Scott Turner
 
Benevolent machine learning and ai
Scott Turner
 
Benevolent machine learning sgs
Scott Turner
 
You too can analyse social media - well twitter
Scott Turner
 
Demystifying Blockchain for businesses
Scott Turner
 
Benevolent machine learning
Scott Turner
 
Volunteering, It is good for the students, communities and the University : R...
Scott Turner
 
Code club talk 18 7 2018 - Robots
Scott Turner
 
Games in Teaching Programming: HE Perspective
Scott Turner
 
Robots Talk British Computer Society Northampton_17_4_2018
Scott Turner
 
Blockchain
Scott Turner
 
Blinking leds
Scott Turner
 
The answer's not on the screen
Scott Turner
 
Experience of using Spreadsheets as a bridge in the understanding of AI techn...
Scott Turner
 
Junkbots 2017
Scott Turner
 
Pyconuk16 junkbots
Scott Turner
 
Ad

Recently uploaded (20)

PPTX
M Tech Sem 1 Civil Engineering Environmental Sciences.pptx
ShriNRPrasad
 
DOCX
ASol_English-Language-Literature-Set-1-27-02-2023-converted.docx
AYUSHMANAV
 
PPTX
Construction Project Organization Group 2.pptx
vj5agdales
 
PDF
SM_6th-Sem__Cse_Internet-of-Things.pdf IOT
smceramu
 
PPTX
CYBER-CRIMES AND SECURITY A guide to understanding
Davies Chacko
 
PPTX
Artificial Intelligence
dikshendrasarpate2
 
PPTX
UNIT 4 Total Quality Management .pptx
gokuld13012005
 
PDF
PPT on Performance Review to get promotions
prashant593122
 
PPTX
Geodesy 1.pptx...............................................
abhi1361yadav
 
PDF
The CXO Playbook 2025 – Future-Ready Strategies for C-Suite Leaders Cerebrai...
Cerebraix Technologies
 
PPTX
MET 305 2019 SCHEME MODULE 2 COMPLETE.pptx
VinayB68
 
PDF
July 2025 - Top 10 Read Articles in International Journal of Software Enginee...
sebastianku31
 
PDF
Automation-in-Manufacturing-Chapter-Introduction.pdf
pcmth867
 
PPTX
Sustainable Sites - Green Building Construction
mhdumerali
 
PPTX
OOP with Java - Java Introduction (Basics)
Rashmi T V
 
PDF
TFEC-4-2020-Design-Guide-for-Timber-Roof-Trusses.pdf
AinieButt1
 
PPT
Mechanical Engineering MATERIALS Selection
arsalanahmad705384
 
PDF
Evaluating the Democratization of the Turkish Armed Forces from a Normative P...
jpsjournal1
 
PPTX
web development for engineering and engineering
keshriji700
 
PPTX
Foundation to blockchain - A guide to Blockchain Tech
Davies Chacko
 
M Tech Sem 1 Civil Engineering Environmental Sciences.pptx
ShriNRPrasad
 
ASol_English-Language-Literature-Set-1-27-02-2023-converted.docx
AYUSHMANAV
 
Construction Project Organization Group 2.pptx
vj5agdales
 
SM_6th-Sem__Cse_Internet-of-Things.pdf IOT
smceramu
 
CYBER-CRIMES AND SECURITY A guide to understanding
Davies Chacko
 
Artificial Intelligence
dikshendrasarpate2
 
UNIT 4 Total Quality Management .pptx
gokuld13012005
 
PPT on Performance Review to get promotions
prashant593122
 
Geodesy 1.pptx...............................................
abhi1361yadav
 
The CXO Playbook 2025 – Future-Ready Strategies for C-Suite Leaders Cerebrai...
Cerebraix Technologies
 
MET 305 2019 SCHEME MODULE 2 COMPLETE.pptx
VinayB68
 
July 2025 - Top 10 Read Articles in International Journal of Software Enginee...
sebastianku31
 
Automation-in-Manufacturing-Chapter-Introduction.pdf
pcmth867
 
Sustainable Sites - Green Building Construction
mhdumerali
 
OOP with Java - Java Introduction (Basics)
Rashmi T V
 
TFEC-4-2020-Design-Guide-for-Timber-Roof-Trusses.pdf
AinieButt1
 
Mechanical Engineering MATERIALS Selection
arsalanahmad705384
 
Evaluating the Democratization of the Turkish Armed Forces from a Normative P...
jpsjournal1
 
web development for engineering and engineering
keshriji700
 
Foundation to blockchain - A guide to Blockchain Tech
Davies Chacko
 

Evaluate and Analysis of MAC Protocols for VANET

  • 1. By Mina Alaa Hussein Supervisor: Assist. Prof. Dr. Mohammed A. Abdala Dr. Ali Al-Sherbaz 9/12/2014 11:24 PM 1
  • 2.  Aim of Project  Introduction  Background of multi-channel protocol  The problems  Simulation  Results  Conclusion 9/12/2014 11:24 PM 2
  • 3. Aim of Project  Introduction  Background of multi-channel protocol  The problems  Simulation  Results  Conclusion 9/12/2014 11:24 PM 3
  • 4.  The project aims to evaluate and analyse of Medium Access Control (MAC) protocol for Vehicular Ad hoc Networks (VANETs) to achieve high reliability and low delay delivery of safety related messages as well as provide QoS requirements for non-safety messages. 9/12/2014 11:24 PM 4
  • 5. 9/12/2014 11:24 PM 5 Wish to know about traffic jam condition at next turn or road condition ahead Wish to avoid accidents or have advance information if any met with an accidents on the road ahead
  • 6. 9/12/2014 11:24 PM 6 Wish to have prior alert, of vehicle in front of you is applying breaks
  • 7.  Aim of Project  Introduction  Background of multi-channel protocol  The problems  Simulation  Results  Conclusion 9/12/2014 11:24 PM 7
  • 8.  VANET (Vehicular Ad-Hoc Networks): is the technology of building a robust Ad-Hoc network between mobile vehicles and between mobile vehicle and roadside units  VANETs are classified as an application of Mobile Ad Hoc Network (MANET) that has the potential in improving road safety and in providing travelers comfort.  VANET applications are classified into two types, safety application and non-safety applications.  Compared with MANET, VANET has more frequent path loss, a shorter link life-time, and lower packet throughput as a result of high mobility, road environment, and volume of traffic. 9/12/2014 11:24 PM 8
  • 10.  Predictable mobility  Providing safe driving, improving passenger comfort and enhancing traffic efficiency  No power constraints  Variable network density  Rapid changes in network topology  Large scale network  High computational ability 9/12/2014 11:24 PM 10
  • 11.  Aim of Project  Introduction  Background of multi-channel protocol  The problems  Simulation  Results  Conclusion 9/12/2014 11:24 PM 11
  • 12.  IEEE WAVE MAC Protocol (IEEE 802.11p+IEEE 1609.4)  IEEE 802.11p uses CSMA/CA  provide data rate from 3 to 27 mbps and bandwidth with 10 MHz and communication distance from 300-1000 m distance.  uses EDCA QoS extension defined in IEEE 802.11e.  IEEE 1609.4 standard enhances the operation of IEEE802.11P by supporting multi-channel operation Figure 1. Channel allocation for WAVE according to FCC 9/12/2014 11:24 PM 12
  • 13. Data rates : 6 to 54Mbps signal bandwidth : 20 MHz Symbol duration: 4 ㎲ Guard Time: 0.8 ㎲ FFT period: 3.2 ㎲ Preamble duration: 16 ㎲ CW min: 15 CW max: 1023 9/12/2014 11:24 PM 13 Wi-Fi 802.11 a/b/g WAVE 802.11P Data rates : 3 to 27 Mbps Signal bandwidth : 10 MHz Symbol duration : 8㎲ Guard Time : 1.6 ㎲ FFT period: 6.4 ㎲ Preamble duration: 32 ㎲ CW min: 15 CW max: 1023
  • 14. 9/12/2014 11:24 PM 14 Implemented part
  • 15.  Aim of Project  Introduction  Background of multi-channel protocol The problems  Simulation  Results  Conclusion 9/12/2014 11:24 PM 15
  • 17.  Aim of Project  Introduction  Background of multi-channel protocol  The problems Simulation  Results  Conclusion 9/12/2014 11:24 PM 17
  • 18. OMNeT++ is a popular open source simulator SUMO (Simulation of Urban Mobility) Veins is an open source framework for running vehicular network simulations. 9/12/2014 11:24 PM 18
  • 19. Scenarios: Multi-channel & Single-channel 9/12/2014 11:24 PM 19 highway Low density Queue size=1 A B Only Safety messages Queue size=2 Safety & non-safety A B Implemented Using Queue size=5 Or A B High density Queue size=1 A B Queue size=2 A B Queue size=5 A B messages Case A: Beacon length=100, packet length= 800 Case B: Beacon length=400, packet length= 1000
  • 20.  M1 junction 14 to junction 15  Street length: 2 Km  Number of lanes=3  Speed range: 80 km/h (50 m/h) to 160 km/h (100 m/h)  acceleration=2.6 m/s²  Length of vehicle=5,10 m  Min. Gap=2.5 m  Krauss Mobility Model  Number of vehicle:  Low density: ~12vehicle/km/lane  High density: ~25vehicle/km/lane 9/12/2014 11:24 PM 20
  • 23.  Aim of Project  Introduction  Background of multi-channel protocol  The problems  Simulation Results  Conclusion 9/12/2014 11:24 PM 23
  • 24. Beacon Delay -msec 4.183 4.183 3.939 3.655 3.655 2.681 2.564 2.73 2.79 3.655 2.659 2.79 3.602 3.65 9/12/2014 11:24 PM 24  Only safety messages used 2.687 2.56 2.863 2.77 4.37 4.936 2.711 2.601 4.232 3.602 30 25 20 15 10 5 0 low density, single channel high density, single channel low density,multi channel high density, multi channel Q=1,B=100,P=800 Q=2,B=100,P=800 Q=5, ,B=100,P=800 Q=1,B=400, P=1000 Q=2,B=400, P=1000 Q=5,B=400, P=1000
  • 25. Beacon Throughput- Mbps 0.127 0.4985 0.4985 0.511 0.47006 0.47 0.47 0.12084 0.074 0.289 0.296 0.0716 0.0716 0.2741 0.159 0.13 9/12/2014 11:24 PM 25  Only safety messages used 0.138 0.1514 0.0809 0.0728 0.126 0.073319 0.082 0.1203 2 1.8 1.6 1.4 1.2 1 0.8 0.6 0.4 0.2 0 low density, single channel high density, single channel low density,multi channel high density, multi channel Q=1,B=100,P=800 Q=2,B=100,P=800 Q=5, ,B=100,P=800 Q=1,B=400, P=1000 Q=2,B=400, P=1000 Q=5,B=400, P=1000
  • 26. 9/12/2014 11:24 PM 26  Only safety messages used low density, single channel Lost Packet high density, single channel low density,multi channel high density, multi channel 35000 30000 25000 20000 15000 10000 5000 0 Q=5,B=400, P=1000 540 2579 1298 5486 Q=2,B=400, P=1000 1095 3228.9 1298 5486 Q=1,B=400, P=1000 742.3 3228.9 1987 5486 Q=5, ,B=100,P=800 1204.7 2579 3079 4689 Q=2,B=100,P=800 832.2 2483 1306 4820 Q=1,B=100,P=800 900 2272 8908 4689
  • 27.  both safety and non-safety messages used Beacon Delay- msec 4.509 3.7013 4.5453 3.39 4.348 4.265 4.868 3.23 3.987 4.681 4.066 9/12/2014 11:24 PM 27 3.399 4.095 4.761 4.121 3.316 4.275 4.584 4.368 3.23 4.006 4.925 3.2405 4.261 30 25 20 15 10 5 0 low density, single channel high density, single channel low density,multi channel high density, multi channel Q=1,B=100,P=800 Q=2,B=100,P=800 Q=5, ,B=100,P=800 Q=1,B=400, P=1000 Q=2,B=400, P=1000 Q=5,B=400, P=1000
  • 28.  both safety and non-safety messages used 9/12/2014 11:24 PM 28 350 Data Delay- msec low density, single channel high density, single channel low density,multi channel high density, multi channel 300 250 200 150 100 50 0 Q=5,B=400, P=1000 5.462 7.4603 53.579 58.181 Q=2,B=400, P=1000 4.316 5.3594 52.98 53.83 Q=1,B=400, P=1000 4.128 4.347 51.879 51.6 Q=5, ,B=100,P=800 4.69 6.897 55.08 57.37 Q=2,B=100,P=800 4.128 4.927 52.928 53.7 Q=1,B=100,P=800 3.814 4.174 51.531 51.28
  • 29.  both safety and non-safety messages used 9/12/2014 11:24 PM 29 Lost Packet low density, single channel high density, single channel low density,multi channel high density, multi channel 3500000 3000000 2500000 2000000 1500000 1000000 500000 0 Q=5,B=400, P=1000 289075 629671 104445 205710 Q=2,B=400, P=1000 258173 535779 46743 85325 Q=1,B=400, P=1000 270792 412153 21503 45313 Q=5, ,B=100,P=800 360661 707406 183571 20568 Q=2,B=100,P=800 322750 579715 49288 93207 Q=1,B=100,P=800 263108.9 449010 21361 42883
  • 30.  both safety and non-safety messages used Throughput of Beacon- Mbps 9/12/2014 11:24 PM 30 low density, single channel high density, single channel low density,multi channel high density, multi channel 2 1.8 1.6 1.4 1.2 1 0.8 0.6 0.4 0.2 0 Q=5,B=400, P=1000 0.1259 0.142 0.2871 0.475 Q=2,B=400, P=1000 0.128 0.0383 0.2689 0.463 Q=1,B=400, P=1000 0.1339 0.171 0.285 0.466 Q=5, ,B=100,P=800 0.0349 0.0394 0.147 0.1186 Q=2,B=100,P=800 0.036 0.041429 0.0798 0.128 Q=1,B=100,P=800 0.0386 0.0437 0.06923 0.122
  • 31.  both safety and non-safety messages used 9/12/2014 11:24 PM 31 Throughput of Data - Mbps low density, single channel high density, single channel low density,multi channel high density, multi channel 0.35 0.3 0.25 0.2 0.15 0.1 0.05 0 Q=5,B=400, P=1000 0.0559 0.03265 0.0144 0.006415 Q=2,B=400, P=1000 0.055 0.06511 0.008599 0.00435 Q=1,B=400, P=1000 0.0626 0.0369 0.005599 0.003005 Q=5, ,B=100,P=800 0.0462 0.0291 0.01085 0.00537 Q=2,B=100,P=800 0.0454 0.02928 0.00627 0.00349 Q=1,B=100,P=800 0.05131 0.02905 0.00505 0.00236 Q=1,B=100,P=800 Q=2,B=100,P=800 Q=5, ,B=100,P=800 Q=1,B=400, P=1000 Q=2,B=400, P=1000 Q=5,B=400, P=1000
  • 32.  By setting CWmin=500 Improved 58% 9/12/2014 11:24 PM 32 21361 8951 25000 20000 15000 10000 5000 0 lost packet CWmin=15 CWmin=255
  • 33.  By setting CWmin=500 9/12/2014 11:24 PM 33 Beacon Throughput- Mbps 0.06923 0.073108 0.074 0.073 0.072 0.071 0.07 0.069 0.068 0.067 Increased CWmin=15 CWmin=255 5%
  • 34.  By setting CWmin=500 Decreased 5% 9/12/2014 11:24 PM 34 4.68 4.473 4.7 4.65 4.6 4.55 4.5 4.45 4.4 4.35 Beacon Delay- msec CWmin=15 CWmin=255
  • 35.  By setting CWmin=500 9/12/2014 11:24 PM 35 Increased 51.531 55.43 56 55 54 53 52 51 50 49 Data Delay- msec 5% CWmin=15 CWmin=255
  • 36.  By setting CWmin=500 9/12/2014 11:24 PM 36 Data Throughput- Mbps Increased 0.00505 0.012266 0.014 0.012 0.01 0.008 0.006 0.004 0.002 0 CWmin=15 CWmin=255 58%
  • 37.  Aim of Project  Introduction  Background of multi-channel protocol  The problems  Simulation  Results  Conclusion 9/12/2014 11:24 PM 37
  • 38. For safety messages scenario: Throughput of beacon:  For both safety and non-safety messages scenario: 9/12/2014 11:24 PM 38 Single-channel>Multi-channel • For low density [25.6%] • For high density [6%] Single-channel low density< high density [67%] Multi-channel low density< high density [59%] Single-channel<Multi-channel • For low density [56%] • For high density [73%] Single-channel low density> high density [4%] Multi-channel low density< high density [35.8%]
  • 39. For safety messages scenario: Delay of beacon:  For both safety and non-safety messages scenario: 9/12/2014 11:24 PM 39 Single-channel<Multi-channel • For low density [36%] • For high density [26%] Single-channel low density≈ high density Multi-channel low density> high density [15.5%] • For low density Single-channel<Multi-channel[28%] • For high density Single-channel ≈ Multi-channel Single-channel low density< high density [21.4%] Multi-channel low density> high density [6%]
  • 40. For safety messages scenario: Lost Packets:  For both safety and non-safety messages scenario: 9/12/2014 11:24 PM 40 Single-channel<Multi-channel • For low density [70%] • For high density [46%] Single-channel low density< high density [67%] Multi-channel low density< high density [41%] Single-channel>Multi-channel • For low density [75%] • For high density [85%] Single-channel low density< high density [46.7%] Multi-channel low density< high density [13%]
  • 41. 9/12/2014 11:24 PM 41  For both safety and non-safety messages scenario:  Data Delay:  Data Throughput: Single-channel<Multi-channel • For low density [91%] • For high density [89%] Single-channel low density< high density [21%] Multi-channel low density< high density [2%] Single-channel>Multi-channel • For low density [83%] • For high density [88%] Single-channel low density> high density [29.7%] Multi-channel low density>high density [50%]
  • 42.  For only safety messages single-channel protocol better than multi-channel protocol  For both safety and non-safety messages multi-channel protocol better than single-channel protocol 9/12/2014 11:24 PM 42
  • 43.  Enhancing IEEE 802.11p single-cahnnel protocol by using CWmin= 500.  Develop the protocol for multi-hop system.  Test the protocol performance in urban scenario and investigate the effect of obstacles. 9/12/2014 11:24 PM 43

Editor's Notes

  • #27: In the WAVE model application data was sent over a Service Channel (SCH) while beacon messages were only sent on the Control Channel (CCH). We furthermore analyzed the beacon delay, that is the time from the generation of a beacon message at one vehicle to its actual reception at another vehicle under different beacon generation rates the delay for all implemented protocols starts low and increases with an increasing number of vehicles. For 802.11p, we can see that at the beginning it was performing well however when the number of vehicles increases, the interference increases degrading the performance