Mobility Pattern Aware Routing for Heterogeneous Vehicular Networks Chia-Chen Hung , Hope Chan†, and Eric Hsiao-Kuang Wu ∗ ∗ ∗ Dept. of Computer Science and Information Engineering, National Central University, Chung-Li, Taiwan, R.O.C. † Network & Multimedia Institute, Institute for Information Industry, Taiwan, R.O.C. 69821004 黎黎黎 69821038 黎 黎
26
Embed
Mobility Pattern Aware Routing for Heterogeneous Vehicular Networks Chia-Chen Hung ∗, Hope Chan†, and Eric Hsiao-Kuang Wu ∗ ∗ Dept. of Computer Science.
Introduction Several wireless network technologies (e.g. VANET, WMAN) that support V2V and R2V service can be applied to the communication system of the ITS. Reliable data transmission challenges ▫High mobility of vehicle ▫Geographic restriction ▫Traffic density 3/25
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Mobility Pattern Aware Routing for Heterogeneous Vehicular Networks
Chia-Chen Hung∗, Hope Chan†, and Eric Hsiao-Kuang Wu∗∗ Dept. of Computer Science and Information Engineering, National Central University, Chung-Li, Taiwan, R.O.C.† Network & Multimedia Institute, Institute for Information Industry, Taiwan, R.O.C.
4) Dependent Vehicular Group (DVG)•The basic idea of DVG is to check whether
vehicles on the route path can construct a vehicular group which has higher average degree of spatial dependency , higher average degree of temporal dependency and lower relative speed (RS).
13/25
5)Terminology• RD(v1(t1), v2(t2)): relative direction between the
twovelocity vectors
• SR(v1(t1), v2(t2)): speed ratio between the two velocity
vectors• R: transmission range of an 802.11 interface• N: number of vehicles in DVG.• Di,j(t): distance between vehicles i and j at time t.
• where P is the number of tuples (i, t1, t2) such that Dtemporal(i, t1, t2) 0.
16
Relative speed: RS(i, j, t) =
If we get the relative speed, we can calculate the
link lifetime between two vehicles as below:
Link lifetime:
17/25
6) Dependency
Performance Evaluation•Simulation model
18/25
Heterogeneous Vehicular Network(HVN) Communication Scenario
19/25
•Packet Delivery Ratio20/25
•Number of Link Breaks:
21/25
•Instant Throughput:
22/25
•Instant Delay of MPARP:
23/25
Conclusion•In this paper, we introduce a new
Heterogeneous Vehicular Network (HVN) architecture and propose a Mobility Pattern Aware Routing Protocol (MPARP) which well suites for high dynamic vehicular network environment.
•The simulation results show that MPARP can provide the reliable route path forV2V communication.