VANET Vehicular Applications and Inter-Networking Technologies : Vehicular Applications and Inter-Networking Technologies.

By: Hartenstein, HannesContributor(s): Laberteaux, KennethMaterial type: TextTextSeries: Intelligent Transport Systems SerPublisher: New York : John Wiley & Sons, Incorporated, 2009Copyright date: ©2010Edition: 1st edDescription: 1 online resource (467 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9780470740620Subject(s): Vehicular ad hoc networks (Computer networks)Genre/Form: Electronic books.Additional physical formats: Print version:: VANET Vehicular Applications and Inter-Networking Technologies : Vehicular Applications and Inter-Networking TechnologiesDDC classification: 388.312 LOC classification: TE228.37.V36 2010Online resources: Click to View
Contents:
Contents -- Foreword -- About the Editors -- Preface -- Acknowledgments -- List of Contributors -- 1 Introduction -- 1.1 Basic Principles and Challenges -- 1.2 Past and Ongoing VANET Activities -- 1.2.1 From the beginning to the mid 1990s -- 1.2.2 From the mid 1990s to the present -- 1.2.3 Examples of current project results -- 1.3 Chapter Outlines -- References -- 2 Cooperative Vehicular Safety Applications -- 2.1 Introduction -- 2.1.1 Motivation -- 2.1.2 Chapter outline -- 2.2 Enabling Technologies -- 2.2.1 Communication requirements -- 2.2.2 Vehicular positioning -- 2.2.3 Vehicle sensors -- 2.2.4 On-board computation platforms -- 2.3 Cooperative System Architecture -- 2.4 Mapping for Safety Applications -- 2.4.1 Non-parametric path prediction -- 2.4.2 Parametric path prediction -- 2.4.3 Stochastic path prediction -- 2.5 VANET-enabled Active Safety Applications -- 2.5.1 Infrastructure-to-vehicle applications -- 2.5.2 Vehicle-to-vehicle applications -- 2.5.3 Pedestrian-to-vehicle applications -- References -- 3 Information Dissemination in VANETs -- 3.1 Introduction -- 3.2 Obtaining Local Measurements -- 3.3 Information Transport -- 3.3.1 Protocols for information transport -- 3.3.2 Improving network connectivity -- 3.3.3 What to transport -- 3.4 Summarizing Measurements -- 3.5 Geographical Data Aggregation -- 3.6 Conclusion -- References -- 4 VANET Convenience and Efficiency Applications -- 4.1 Introduction -- 4.2 Limitations -- 4.2.1 Capacity -- 4.2.2 Connectivity -- 4.2.3 Competition -- 4.3 Applications -- 4.4 Communication Paradigms -- 4.4.1 Centralized client/server systems -- 4.4.2 Infrastructure-based peer-to-peer communication -- 4.4.3 VANET communication -- 4.5 Probabilistic, Area-based Aggregation -- 4.5.1 FM sketches -- 4.5.2 Using sketches for data aggregation in VANETs -- 4.5.3 Soft-state sketches.
4.5.4 Forming larger area aggregates -- 4.5.5 Application study -- 4.6 Travel Time Aggregation -- 4.6.1 Landmark-based aggregation -- 4.6.2 Judging the quality of information -- 4.6.3 Hierarchical landmark aggregation -- 4.6.4 Evaluation -- 4.7 Conclusion -- References -- 5 Vehicular Mobility Modeling for VANET -- 5.1 Introduction -- 5.2 Notation Description -- 5.3 Random Models -- 5.4 Flow Models -- 5.4.1 Microscopic flow models -- 5.4.2 Macroscopic flow models -- 5.4.3 Mesoscopic flow models -- 5.4.4 Lane changing models -- 5.4.5 Intersection management -- 5.4.6 Impact of flow models on vehicular mobility -- 5.5 TrafficModels -- 5.5.1 Trip planning -- 5.5.2 Path planning -- 5.5.3 Influence of time -- 5.5.4 Impact of traffic models on vehicular mobility -- 5.6 BehavioralModels -- 5.7 Trace or Survey-based Models -- 5.8 Integration with Network Simulators -- 5.8.1 Network simulators -- 5.8.2 Isolated mobility models -- 5.8.3 Embedded mobility models -- 5.8.4 Federated mobility models -- 5.8.5 Application-centric versus network-centric simulations -- 5.8.6 Discussion -- 5.9 A Design Framework for Realistic Vehicular Mobility Models -- 5.9.1 Motion constraints -- 5.9.2 Traffic generator -- 5.9.3 Application-based level of realism -- 5.10 Discussion and Outlook -- 5.11 Conclusion -- References -- 6 Physical Layer Considerations for Vehicular Communications -- 6.1 Standards Overview -- 6.1.1 A brief history -- 6.1.2 Technical alterations and operation -- 6.2 Previous Work -- 6.3 Wireless Propagation Theory -- 6.3.1 Deterministic multipath models -- 6.3.2 Statistical multipath models -- 6.3.3 Path loss modeling -- 6.4 Channel Metrics -- 6.4.1 Delay spread -- 6.4.2 Coherence bandwidth -- 6.4.3 Doppler spread -- 6.4.4 Coherence time -- 6.4.5 Impact on OFDM systems -- 6.5 Measurement Theory -- 6.6 Empirical Channel Characterization at 5.9 GHz.
6.6.1 Highway environments -- 6.6.2 Urban environments -- 6.6.3 Rural LOS environments -- 6.6.4 Results summary -- 6.6.5 Analysis -- 6.7 Future Directions -- 6.8 Conclusion -- 6.9 Appendix: Deterministic Multipath Channel Derivations -- 6.9.1 Complex baseband channel representation - continuous time -- 6.9.2 Complex baseband channel representation - discrete time -- 6.10 Appendix: LTV Channel Response -- 6.11 Appendix: Measurement Theory Details -- 6.11.1 PN sequence bits -- 6.11.2 Generation of LTI channel estimates -- 6.11.3 Generation of Ricean K-factor estimates -- References -- 7 MAC Layer and Scalability Aspects of Vehicular Communication Networks -- 7.1 Introduction: Challenges and Requirements -- 7.2 A Survey on Proposed MAC Approaches for VANETs -- 7.2.1 Time-division multiple access based approaches -- 7.2.2 Space-division multiple access based approaches -- 7.2.3 Code-division multiple access based approaches -- 7.3 Communication Based on IEEE 802.11p -- 7.3.1 The IEEE 802.11 standard -- 7.3.2 IEEE 802.11p: towards wireless access in vehicular environments -- 7.3.3 Modeling and simulation of IEEE 802.11p-based networks -- 7.4 Performance Evaluation and Modeling -- 7.4.1 Performance results of IEEE 802.11p-based active safety communications -- 7.4.2 Computational costs of simulation -- 7.4.3 Analytical models for performance of IEEE 802.11 networks -- 7.4.4 An empirical model for performance of IEEE 802.11p networks -- 7.4.5 Conclusion -- 7.5 Aspects of Congestion Control -- 7.5.1 The need for congestion control -- 7.5.2 Congestion control by means of transmit power control -- 7.5.3 Congestion control by means of rate control -- 7.6 Open Issues and Outlook -- References -- 8 Efficient Application Level Message Coding and Composition -- 8.1 Introduction to the Application Environment -- 8.1.1 Safety applications and data requirements.
8.1.2 Desirable architectural features -- 8.1.3 Broadcast characteristics -- 8.2 Message Dispatcher -- 8.2.1 Data element dictionary -- 8.2.2 Message construction -- 8.2.3 What and when to send -- 8.3 Example Applications -- 8.3.1 Emergency brake warning -- 8.3.2 Intersection violation warning -- 8.3.3 Message composition -- 8.3.4 Implementation -- 8.3.5 Analysis -- 8.4 Data Sets -- 8.5 Predictive Coding -- 8.5.1 Linear predictive coding -- 8.5.2 System model -- 8.5.3 Tolerable error -- 8.5.4 Predictive coding transmission policies -- 8.5.5 Predictive coding results -- 8.6 Architecture Analysis -- 8.7 Conclusion -- References -- 9 Data Security in Vehicular Communication Networks -- 9.1 Introduction -- 9.1.1 Outline -- 9.1.2 State of the art -- 9.2 Challenges of Data Security in Vehicular Networks -- 9.3 Network, Applications, and AdversarialModel -- 9.3.1 Network model -- 9.3.2 Applications model -- 9.3.3 Attacker model -- 9.4 Security Infrastructure -- 9.4.1 Cryptography services -- 9.4.2 Key management -- 9.5 Cryptographic Protocols -- 9.5.1 Certificate verification -- 9.5.2 Encryption -- 9.5.3 Key agreement -- 9.5.4 Authentication -- 9.5.5 Secure positioning -- 9.5.6 Identification of misbehaving nodes -- 9.5.7 Summary -- 9.6 Privacy Protection Mechanisms -- 9.6.1 Properties -- 9.6.2 Key assignment -- 9.6.3 Tracking vehicles -- 9.6.4 Evaluation -- 9.7 Implementation Aspects -- 9.7.1 Cryptographic schemes and key length -- 9.7.2 Physical security -- 9.7.3 Organizational aspects -- 9.7.4 Update of software and renewal of certificates -- 9.8 Outlook and Conclusions -- References -- 10 Standards and Regulations -- 10.1 Introduction -- 10.2 Layered Architecture for VANETs -- 10.2.1 General concepts and definitions -- 10.2.2 A protocol stack for DSRC -- 10.3 DSRC Regulations -- 10.3.1 DSRC in the United States -- 10.3.2 DSRC in Europe.
10.4 DSRC Physical Layer Standard -- 10.4.1 OFDM physical medium dependent (PMD) function -- 10.4.2 OFDM physical layer convergence procedure (PLCP) function -- 10.5 DSRC Data Link Layer Standard (MAC and LLC) -- 10.5.1 Medium access control (MAC) sublayer -- 10.5.2 Logical link control (MAC) sublayer -- 10.6 DSRCMiddle Layers -- 10.6.1 MAC extension for multi-channel operation: IEEE 1609.4 -- 10.6.2 Network services for DSRC: network and transport layers, IEEE 1609.3 -- 10.6.3 WSA length summary -- 10.6.4 Middle layer security: IEEE 1609.2 -- 10.7 DSRCMessage Sublayer -- 10.7.1 SAE J2735 DSRC message sets -- 10.7.2 Case study: The basic safety message -- 10.7.3 Case study: The probe vehicle data message -- 10.7.4 Case study: The roadside alert message -- 10.8 Summary -- 10.9 Abbreviations and Acronyms -- References -- Index.
Summary: Hannes Hartenstein is a professor for decentralized systems and network services at the Karlsruhe Institute of Technology (KIT), Germany, which is formed by the KIT Steinbuch centre for Computing. Prior to joining the University of Karlsruhe, he was a senior research staff member with NEC Europe. He was NEC's project leader (2001-03) for the 'FleetNet - Internet on the Road' project partly funded by the German Ministry of Education and Research (BMBF), and involved in the 'NOW: Network on Wheels' project (2004-08), also funded by BMBF. He is currently actively participating in the EU FP7 project PRE-DRIVE-C2X. He was General Co-Chair of the ACM International Workshop on Vehicular Ad-Hoc Networks (VANET) in 2005, technical co-chair of ACM VANET in 2006, technical co-chair of the IEEE chair of the IFIP/IEEE Conference on Wireless On-Demand Network Systems and Services (WONS) in 2008. He is a member of he scientific directorate of the center for Informatics, Schloss Dagstuhl. His research interests include mobile networks, virtual networks, and IT management. he holds a diploma in mathematics and a doctoral degree in computer science, both from Albert-Ludwigs-Universitat, Freiburg, Germany. Kenneth P Laberteaux is a senior principal research engineer for the Toyota Technical Center in Ann Arbor, MI. His research focus is information-rich vehicular safety systems, focusing on architecture, security, and protocol design for vehicle-to-vehicle and vehicle-to-roadside wireless communication. He was a founder and two-year (2004-05) general co-chair of the highly selective, international Vehicular Ad-hoc Networks (VANET) workshop. He serves as the architect and technical lead for communications research within a multi-year, multi-million dollar Vehicle Safety Communications-Applications collaboration project between the US government and severalSummary: automotive companies. he completed his MSc (1996) and PhD (2000) degrees in electrical engineering at the University of Notre Dame, Focusing on adaptive control for communications. In 1992, he received his BSE (summa cum laude) in electrical engineering from the University of Michigan, Ann Arbor.
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
No physical items for this record

Contents -- Foreword -- About the Editors -- Preface -- Acknowledgments -- List of Contributors -- 1 Introduction -- 1.1 Basic Principles and Challenges -- 1.2 Past and Ongoing VANET Activities -- 1.2.1 From the beginning to the mid 1990s -- 1.2.2 From the mid 1990s to the present -- 1.2.3 Examples of current project results -- 1.3 Chapter Outlines -- References -- 2 Cooperative Vehicular Safety Applications -- 2.1 Introduction -- 2.1.1 Motivation -- 2.1.2 Chapter outline -- 2.2 Enabling Technologies -- 2.2.1 Communication requirements -- 2.2.2 Vehicular positioning -- 2.2.3 Vehicle sensors -- 2.2.4 On-board computation platforms -- 2.3 Cooperative System Architecture -- 2.4 Mapping for Safety Applications -- 2.4.1 Non-parametric path prediction -- 2.4.2 Parametric path prediction -- 2.4.3 Stochastic path prediction -- 2.5 VANET-enabled Active Safety Applications -- 2.5.1 Infrastructure-to-vehicle applications -- 2.5.2 Vehicle-to-vehicle applications -- 2.5.3 Pedestrian-to-vehicle applications -- References -- 3 Information Dissemination in VANETs -- 3.1 Introduction -- 3.2 Obtaining Local Measurements -- 3.3 Information Transport -- 3.3.1 Protocols for information transport -- 3.3.2 Improving network connectivity -- 3.3.3 What to transport -- 3.4 Summarizing Measurements -- 3.5 Geographical Data Aggregation -- 3.6 Conclusion -- References -- 4 VANET Convenience and Efficiency Applications -- 4.1 Introduction -- 4.2 Limitations -- 4.2.1 Capacity -- 4.2.2 Connectivity -- 4.2.3 Competition -- 4.3 Applications -- 4.4 Communication Paradigms -- 4.4.1 Centralized client/server systems -- 4.4.2 Infrastructure-based peer-to-peer communication -- 4.4.3 VANET communication -- 4.5 Probabilistic, Area-based Aggregation -- 4.5.1 FM sketches -- 4.5.2 Using sketches for data aggregation in VANETs -- 4.5.3 Soft-state sketches.

4.5.4 Forming larger area aggregates -- 4.5.5 Application study -- 4.6 Travel Time Aggregation -- 4.6.1 Landmark-based aggregation -- 4.6.2 Judging the quality of information -- 4.6.3 Hierarchical landmark aggregation -- 4.6.4 Evaluation -- 4.7 Conclusion -- References -- 5 Vehicular Mobility Modeling for VANET -- 5.1 Introduction -- 5.2 Notation Description -- 5.3 Random Models -- 5.4 Flow Models -- 5.4.1 Microscopic flow models -- 5.4.2 Macroscopic flow models -- 5.4.3 Mesoscopic flow models -- 5.4.4 Lane changing models -- 5.4.5 Intersection management -- 5.4.6 Impact of flow models on vehicular mobility -- 5.5 TrafficModels -- 5.5.1 Trip planning -- 5.5.2 Path planning -- 5.5.3 Influence of time -- 5.5.4 Impact of traffic models on vehicular mobility -- 5.6 BehavioralModels -- 5.7 Trace or Survey-based Models -- 5.8 Integration with Network Simulators -- 5.8.1 Network simulators -- 5.8.2 Isolated mobility models -- 5.8.3 Embedded mobility models -- 5.8.4 Federated mobility models -- 5.8.5 Application-centric versus network-centric simulations -- 5.8.6 Discussion -- 5.9 A Design Framework for Realistic Vehicular Mobility Models -- 5.9.1 Motion constraints -- 5.9.2 Traffic generator -- 5.9.3 Application-based level of realism -- 5.10 Discussion and Outlook -- 5.11 Conclusion -- References -- 6 Physical Layer Considerations for Vehicular Communications -- 6.1 Standards Overview -- 6.1.1 A brief history -- 6.1.2 Technical alterations and operation -- 6.2 Previous Work -- 6.3 Wireless Propagation Theory -- 6.3.1 Deterministic multipath models -- 6.3.2 Statistical multipath models -- 6.3.3 Path loss modeling -- 6.4 Channel Metrics -- 6.4.1 Delay spread -- 6.4.2 Coherence bandwidth -- 6.4.3 Doppler spread -- 6.4.4 Coherence time -- 6.4.5 Impact on OFDM systems -- 6.5 Measurement Theory -- 6.6 Empirical Channel Characterization at 5.9 GHz.

6.6.1 Highway environments -- 6.6.2 Urban environments -- 6.6.3 Rural LOS environments -- 6.6.4 Results summary -- 6.6.5 Analysis -- 6.7 Future Directions -- 6.8 Conclusion -- 6.9 Appendix: Deterministic Multipath Channel Derivations -- 6.9.1 Complex baseband channel representation - continuous time -- 6.9.2 Complex baseband channel representation - discrete time -- 6.10 Appendix: LTV Channel Response -- 6.11 Appendix: Measurement Theory Details -- 6.11.1 PN sequence bits -- 6.11.2 Generation of LTI channel estimates -- 6.11.3 Generation of Ricean K-factor estimates -- References -- 7 MAC Layer and Scalability Aspects of Vehicular Communication Networks -- 7.1 Introduction: Challenges and Requirements -- 7.2 A Survey on Proposed MAC Approaches for VANETs -- 7.2.1 Time-division multiple access based approaches -- 7.2.2 Space-division multiple access based approaches -- 7.2.3 Code-division multiple access based approaches -- 7.3 Communication Based on IEEE 802.11p -- 7.3.1 The IEEE 802.11 standard -- 7.3.2 IEEE 802.11p: towards wireless access in vehicular environments -- 7.3.3 Modeling and simulation of IEEE 802.11p-based networks -- 7.4 Performance Evaluation and Modeling -- 7.4.1 Performance results of IEEE 802.11p-based active safety communications -- 7.4.2 Computational costs of simulation -- 7.4.3 Analytical models for performance of IEEE 802.11 networks -- 7.4.4 An empirical model for performance of IEEE 802.11p networks -- 7.4.5 Conclusion -- 7.5 Aspects of Congestion Control -- 7.5.1 The need for congestion control -- 7.5.2 Congestion control by means of transmit power control -- 7.5.3 Congestion control by means of rate control -- 7.6 Open Issues and Outlook -- References -- 8 Efficient Application Level Message Coding and Composition -- 8.1 Introduction to the Application Environment -- 8.1.1 Safety applications and data requirements.

8.1.2 Desirable architectural features -- 8.1.3 Broadcast characteristics -- 8.2 Message Dispatcher -- 8.2.1 Data element dictionary -- 8.2.2 Message construction -- 8.2.3 What and when to send -- 8.3 Example Applications -- 8.3.1 Emergency brake warning -- 8.3.2 Intersection violation warning -- 8.3.3 Message composition -- 8.3.4 Implementation -- 8.3.5 Analysis -- 8.4 Data Sets -- 8.5 Predictive Coding -- 8.5.1 Linear predictive coding -- 8.5.2 System model -- 8.5.3 Tolerable error -- 8.5.4 Predictive coding transmission policies -- 8.5.5 Predictive coding results -- 8.6 Architecture Analysis -- 8.7 Conclusion -- References -- 9 Data Security in Vehicular Communication Networks -- 9.1 Introduction -- 9.1.1 Outline -- 9.1.2 State of the art -- 9.2 Challenges of Data Security in Vehicular Networks -- 9.3 Network, Applications, and AdversarialModel -- 9.3.1 Network model -- 9.3.2 Applications model -- 9.3.3 Attacker model -- 9.4 Security Infrastructure -- 9.4.1 Cryptography services -- 9.4.2 Key management -- 9.5 Cryptographic Protocols -- 9.5.1 Certificate verification -- 9.5.2 Encryption -- 9.5.3 Key agreement -- 9.5.4 Authentication -- 9.5.5 Secure positioning -- 9.5.6 Identification of misbehaving nodes -- 9.5.7 Summary -- 9.6 Privacy Protection Mechanisms -- 9.6.1 Properties -- 9.6.2 Key assignment -- 9.6.3 Tracking vehicles -- 9.6.4 Evaluation -- 9.7 Implementation Aspects -- 9.7.1 Cryptographic schemes and key length -- 9.7.2 Physical security -- 9.7.3 Organizational aspects -- 9.7.4 Update of software and renewal of certificates -- 9.8 Outlook and Conclusions -- References -- 10 Standards and Regulations -- 10.1 Introduction -- 10.2 Layered Architecture for VANETs -- 10.2.1 General concepts and definitions -- 10.2.2 A protocol stack for DSRC -- 10.3 DSRC Regulations -- 10.3.1 DSRC in the United States -- 10.3.2 DSRC in Europe.

10.4 DSRC Physical Layer Standard -- 10.4.1 OFDM physical medium dependent (PMD) function -- 10.4.2 OFDM physical layer convergence procedure (PLCP) function -- 10.5 DSRC Data Link Layer Standard (MAC and LLC) -- 10.5.1 Medium access control (MAC) sublayer -- 10.5.2 Logical link control (MAC) sublayer -- 10.6 DSRCMiddle Layers -- 10.6.1 MAC extension for multi-channel operation: IEEE 1609.4 -- 10.6.2 Network services for DSRC: network and transport layers, IEEE 1609.3 -- 10.6.3 WSA length summary -- 10.6.4 Middle layer security: IEEE 1609.2 -- 10.7 DSRCMessage Sublayer -- 10.7.1 SAE J2735 DSRC message sets -- 10.7.2 Case study: The basic safety message -- 10.7.3 Case study: The probe vehicle data message -- 10.7.4 Case study: The roadside alert message -- 10.8 Summary -- 10.9 Abbreviations and Acronyms -- References -- Index.

Hannes Hartenstein is a professor for decentralized systems and network services at the Karlsruhe Institute of Technology (KIT), Germany, which is formed by the KIT Steinbuch centre for Computing. Prior to joining the University of Karlsruhe, he was a senior research staff member with NEC Europe. He was NEC's project leader (2001-03) for the 'FleetNet - Internet on the Road' project partly funded by the German Ministry of Education and Research (BMBF), and involved in the 'NOW: Network on Wheels' project (2004-08), also funded by BMBF. He is currently actively participating in the EU FP7 project PRE-DRIVE-C2X. He was General Co-Chair of the ACM International Workshop on Vehicular Ad-Hoc Networks (VANET) in 2005, technical co-chair of ACM VANET in 2006, technical co-chair of the IEEE chair of the IFIP/IEEE Conference on Wireless On-Demand Network Systems and Services (WONS) in 2008. He is a member of he scientific directorate of the center for Informatics, Schloss Dagstuhl. His research interests include mobile networks, virtual networks, and IT management. he holds a diploma in mathematics and a doctoral degree in computer science, both from Albert-Ludwigs-Universitat, Freiburg, Germany. Kenneth P Laberteaux is a senior principal research engineer for the Toyota Technical Center in Ann Arbor, MI. His research focus is information-rich vehicular safety systems, focusing on architecture, security, and protocol design for vehicle-to-vehicle and vehicle-to-roadside wireless communication. He was a founder and two-year (2004-05) general co-chair of the highly selective, international Vehicular Ad-hoc Networks (VANET) workshop. He serves as the architect and technical lead for communications research within a multi-year, multi-million dollar Vehicle Safety Communications-Applications collaboration project between the US government and several

automotive companies. he completed his MSc (1996) and PhD (2000) degrees in electrical engineering at the University of Notre Dame, Focusing on adaptive control for communications. In 1992, he received his BSE (summa cum laude) in electrical engineering from the University of Michigan, Ann Arbor.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

There are no comments on this title.

to post a comment.

Powered by Koha