Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
VANET Simulation of AP assistance
Search
Andro Chen Chun-An
June 13, 2011
Research
0
36
VANET Simulation of AP assistance
2011-06-13 VANET Simulation of AP assistance
Final Project of 無線網路導論, 魏宏宇副教授 @ NTUEE
Andro Chen Chun-An
June 13, 2011
Tweet
Share
More Decks by Andro Chen Chun-An
See All by Andro Chen Chun-An
2021-02-17_splunk_cafe.pdf
androchentw
0
43
When Andro Meets Android - Android Taipei
androchentw
0
160
What I've Learned From Startups
androchentw
0
65
Baidu SEO II
androchentw
1
80
Basic HTML + SEO - A Simple Tutorial @5945
androchentw
0
48
Baidu SEO - A Practical Guide
androchentw
0
49
Privacy-Preserving Data Mining and Collusion Resistance
androchentw
0
41
啡˙聞
androchentw
1
49
Other Decks in Research
See All in Research
First Authorに俺はなるっ!! IROS’23 CCC2023 FY
shota_nishiyama
0
170
Accurate Method and Variable Tracking in Commit History
tsantalis
0
240
NeurIPS-23 参加報告 + DPO 解説
akifumi_wachi
4
1.4k
Gmail の「メール送信者のガイドライン」強化から 1 ヵ月、今後予想されるメールセキュリティの変化とは
hirachan
1
230
LiDARセキュリティ最前線
kentaroy47
0
270
マルチモーダルLLMの応用動向の論文調査
masatoto
7
2.7k
脳卒中患者・家族からみた循環器病対策推進基本計画の進捗に関する調査
japanstrokeassociation
0
530
FMP L3 Year 1 Project Proposal
haiinya
0
150
生成AIを用いたText to SQLの最前線
masatoto
1
2k
Target trial emulationの概要
shuntaros
2
1.1k
プロシェアリング白書2024_PROSHARING_REPORT_2024
circulation
0
600
[Human-AI Decision Making勉強会] 説明の更新はユーザにどのような影響をもたらすか
okoso
1
150
Featured
See All Featured
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
124
32k
In The Pink: A Labor of Love
frogandcode
138
21k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
273
13k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
24
2.3k
Keith and Marios Guide to Fast Websites
keithpitt
408
22k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
29
6k
How to Ace a Technical Interview
jacobian
272
22k
How STYLIGHT went responsive
nonsquared
92
4.8k
Fontdeck: Realign not Redesign
paulrobertlloyd
76
4.9k
Git: the NoSQL Database
bkeepers
PRO
422
63k
Java REST API Framework Comparison - PWX 2021
mraible
PRO
18
6.9k
Mobile First: as difficult as doing things right
swwweet
216
8.6k
Transcript
VANET Simulation of AP Assistance AP協助下的車用無線網路模擬 B97901015 陳俊安 B97901087 林蓉瑄
B97901098 周伯威
Introduction • VANET module: MOVE – MObility model generator for
VEhicular networks • AODV+ – use AODV for simulations of wired-cum-wireless scenarios
Motive • Improve VANET performance – Using APs in the
city – Fast & reliable Ethernet • But “where are you?” – If we don’t use Mobile IP… • Implement AODV+ on both wired and wireless nodes
Experiment Design • Car numbers – 9, 26, 32, 44,
55, 65 • AP numbers – 0, 4, 9(3x3), 16, 25, …, 100 • Random traffic – Using MOVE
Modification • AODV+ does not work – wired <--> wireless
– wireless -> wired -> wireless ? • Alternative – motionless cars act as APs
Performance • Success ratio • Pong RTT – Average –
Standard deviation
• In XGraph Success ratio
• In XGraph Average
• In XGraph Standard Deviation
Graph analysis Cars # 9 26 32 44 55 65
Best AP # 9 16 16 9 9 9 Start to drop 81 36 49 36 36 36 Best AP#/Car# 1.00 0.62 0.50 0.20 0.16 0.14 Success ratio 83.26 94.78 90.68 92.68 92.93 96.18 Best = highest success ra.o
Conclusion • Too much water drowned the miller – When
mobility and density is low, AP counts • Trade-off – High transmission rate – Extra routing table overhead
Q & A
Thank you