Efficient wireless communication in vehicular networks / vorgelegt von Florian Klingler, angefertigt in der Fachgruppe Distributed Embedded Systems (CCS Labs) Heinz Nixdorf Institut Universität Paderborn ; Betreuer: Prof. Dr.-Ing. habil. Falko Dressler, Gutachter: Prof. Dr.-Ing. habil. Falko Dressler, Prof. Dr. Jiannong Cao, Prof. Dr.-Ing. Lars Wolf. Paderborn, 2018
Inhalt
- 1 Introduction and Motivation
- 1.1 Wireless Communication as a Promising Solution
- 1.2 Why Current Approaches Are Not Sufficient
- 1.3 Problem Description and Research Questions
- 1.4 Summarizing Our Contributions
- 1.5 Structure of the Thesis
- 1.6 Publications
- 2 Fundamentals and Related Work
- 2.1 On the Capacity Bounds of 802.11[p]
- 2.1.1 Communication Distance
- 2.1.2 Channel Utilization
- 2.1.3 Goodput
- 2.1.4 Vehicular Scenario
- 2.1.5 Lessons Learned
- 2.2 VANET Communication Protocols
- 2.3 Bloom Filter
- 2.4 Realistic Network and Road Traffic Simulation
- 3 The Impact of Head of Line Blocking in Highly Dynamic WLANs
- 3.1 Motivation
- 3.2 Preliminaries
- 3.3 Small and Static Networks
- 3.3.1 Analytical Evaluation
- 3.3.2 Experimental Study
- 3.3.3 Computer Simulation
- 3.3.4 Results
- 3.3.5 Towards a Solution
- 3.4 The Special Case of Active Attacks
- 3.5 Large and Dynamic Networks
- 3.6 Lessons Learned
- 4 Class Based Broadcast Architecture
- 4.1 Motivation
- 4.2 Preliminaries
- 4.3 Class Based Broadcasts
- 4.3.1 Classification Criteria
- 4.3.2 Broadcast Classes
- 4.3.3 Mapping Broadcast Classes for Building Applications
- 4.4 Detailed Design of the Various Protocols
- 4.5 Performance Evaluation
- 4.5.1 Optimal Bloom Filter Size
- 4.5.2 Simulation Setup and Metrics
- 4.5.3 Baseline Experiments
- 4.5.4 Studying the Integrated Class Based Broadcast Architecture
- 4.6 Lessons Learned
- 5 Bloom Filter Based Neighbor Management
- 5.1 Motivation
- 5.2 Preliminaries
- 5.3 Neighbor Table Management
- 5.3.1 Maintaining 1-Hop Neighbor Tables
- 5.3.2 Maintaining 2-Hop Neighbor Tables
- 5.3.3 Cardinality Estimation of Bloom Filters
- 5.4 Bloom Filter Based Multi-Hop Broadcast
- 5.5 Performance in VANETs
- 5.5.1 Realistic Road Traffic and Network Simulation Setup
- 5.5.2 Performance Evaluation Using an Oracle
- 5.5.3 Impact on Beaconing
- 5.5.4 Bloom Filter Based Neighbor Table Management
- 5.5.5 Bloom Hopping Performance
- 5.6 Lessons Learned
- 6 Multi-Channel Beaconing
- 6.1 Motivation
- 6.2 Preliminaries
- 6.3 MCB Protocol
- 6.3.1 Multi-Channel Operation
- 6.3.2 Step 1: Coarse Grained Interval Selection
- 6.3.3 Step 2: When to Send the Announcement
- 6.3.4 Step 3: Selecting and Announcing an SCH
- 6.3.5 Step 4: Broadcasting the Data
- 6.4 Performance Evaluation
- 6.5 Results and Discussion
- 6.5.1 Channel Utilization
- 6.5.2 Packet Success Rate
- 6.5.3 Beacon Interval
- 6.5.4 Fraction of Informed Vehicles
- 6.6 Lessons Learned
- 7 Conclusion
- Bibliography