차량 애드혹 네트워크를 위한 점점 기반 예측 그리드 라우팅 프로토콜
- Author(s)
- 쿠마 라즈 스레스타
- Issued Date
- 2009
- Abstract
- Multi-hop data delivery in vehicular ad hoc networks (VANETs) is suffered by the fact that vehicles are highly mobile and inter-vehicle links are frequently disconnected. In such networks, for efficient multi-hop routing of road safety information (e.g. road accident and emergency messages) to the area of interest, reliable communication and fast delivery with minimum delay are mandatory. This research proposes the Vertex Based Predictive Greedy Routing (VPGR) protocol which predicts a sequence of valid vertices (junctions) from a source vehicle to a fixed infrastructure (or a roadside unit) at the area of interest and, then, forwards data to the fixed infrastructure through the sequence of vertices in urban environments. For forwarding data from the source vehicle to the fixed infrastructure in multi-hop fashion, the well-known predictive directional greedy routing mechanism is used. The proposed algorithm leverages the geographic position, velocity, direction and acceleration of vehicles for both the calculation of a sequence of valid vertices and the predictive directional greedy routing. Simulation results show significant performance improvement compared to conventional routing protocols in terms of packet delivery ratio, end-to-end delay, and routing overhead.
- Alternative Title
- Multi-hop data delivery in vehicular ad hoc networks (VANETs) is suffered by the fact that vehicles are highly mobile and inter-vehicle links are frequently disconnected. In such networks, for efficient multi-hop routing of road safety information (e.g. road accident and emergency messages) to the area of interest, reliable communication and fast delivery with minimum delay are mandatory. This research proposes the Vertex Based Predictive Greedy Routing (VPGR) protocol which predicts a sequence of valid vertices (junctions) from a source vehicle to a fixed infrastructure (or a roadside unit) at the area of interest and, then, forwards data to the fixed infrastructure through the sequence of vertices in urban environments. For forwarding data from the source vehicle to the fixed infrastructure in multi-hop fashion, the well-known predictive directional greedy routing mechanism is used. The proposed algorithm leverages the geographic position, velocity, direction and acceleration of vehicles for both the calculation of a sequence of valid vertices and the predictive directional greedy routing. Simulation results show significant performance improvement compared to conventional routing protocols in terms of packet delivery ratio, end-to-end delay, and routing overhead.
- Alternative Author(s)
- Raj k. Shrestha
- Department
- 일반대학원 컴퓨터공학과
- Advisor
- 모상만
- Awarded Date
- 2009-08
- Table Of Contents
- I. Introduction …………………………………………………………… 1
A. Research Overview…………………………………………… 1
B. Research Objective………………………………………….. 3
C. Thesis Contribution…………………………………………... 4
D. Thesis Organization…………………………………………. 5
II. Vehicular Ad Hoc Networks and Routing….………………......... 6
A. Key Properties of VANETs ………………………………… 7
B. Issues in Routing …………………………………………… 8
C. Related Work ………………………………………………… 9
1. Geographic Forwarding Based Routing Protocols ……. 10
2. Trajectory Forwarding Based Routing Protocols ……… 13
3. Opportunistic Forwarding Based Routing Protocols ….. 15
4. Comparison ……………………………………………….. 18
III. System Model ………………………………………………............ 21
IV. Vertex Based Predictive Greedy Routing……………….......... 24
A. Prediction of Sequence of Vertices ……………………… 24
B. Predictive Directional Greedy Routing …………………… 26
1. Greedy Routing …………………………………… 28
C. Maintenance of Routing and Neighbor Table …………… 30
V. Performance Evaluation ……………………………………… … 32
A. Mobility Model ……………………………………………….32
B. Simulation Setup …………………………………………… 33
C. Simulation Results and Analysis ………………………….35
1. Packet Delivery Ratio ……………………………… 37
2. End-to-end Delay ………………………………… 40
3. Routing Overhead ……………………………… 43
VI. Conclusion ……………………………………………………… 46
Bibliography ………………………………………………............. 47
- Degree
- Master
- Publisher
- 조선대학교 대학원
- Citation
- 쿠마 라즈 스레스타. (2009). 차량 애드혹 네트워크를 위한 점점 기반 예측 그리드 라우팅 프로토콜.
- Type
- Dissertation
- URI
- https://oak.chosun.ac.kr/handle/2020.oak/8336
http://chosun.dcollection.net/common/orgView/200000238477
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