Intelligent Computing and Communication for the Internet of Vehicles:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham
Springer
2023
|
| Edition: | 1st ed |
| Series: | SpringerBriefs in Computer Science Series
|
| Subjects: | |
| Online Access: | DE-2070s |
| Item Description: | Description based on publisher supplied metadata and other sources |
| Physical Description: | 1 Online-Ressource (90 Seiten) |
| ISBN: | 9783031228605 |
Staff View
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| 245 | 1 | 0 | |a Intelligent Computing and Communication for the Internet of Vehicles |
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| 505 | 8 | |a Intro -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 Internet of Vehicles (IoV) -- 1.2 IoV Use Cases -- 1.3 Network Characteristics in IoV -- 1.4 Outline of the Monograph -- References -- 2 Overview of Communication and Computing in IoV -- 2.1 Communication and Computing in IoV -- 2.2 V2X Communication Protocols -- 2.3 Vehicular Computing Resource Scheduling -- References -- 3 Protocol Design for Safety Message Broadcast -- 3.1 Communication in Safety Message Broadcast -- 3.2 Network Scenario -- 3.2.1 Basic Settings -- 3.2.2 Features of Safety Message Broadcast -- 3.2.3 Assumptions -- 3.3 CIDC: A Distributed and Adaptive MAC Design -- 3.3.1 Messaging Mechanism Design -- 3.3.2 Contention Intensity Estimation Method -- 3.3.3 Channel Access Mechanism Design -- 3.4 CIDC: Network-Perspective Modeling -- 3.5 CIDC: Performance Analysis -- 3.5.1 Basic Features -- 3.5.2 Packet-to-Slot Ratio -- 3.5.3 Contention Intensity and Contention Delay -- 3.5.4 Collision Conditions and Probability -- 3.6 Performance Evaluation -- 3.6.1 Performance with Accurate Contention Intensity Estimation -- 3.6.2 A Comparison of Analytical and Numerical Results -- 3.6.3 Performance Under Contention Intensity Estimation Errors -- 3.7 Summary -- References -- 4 Computing Scheduling for Autonomous Driving -- 4.1 Computing in Autonomous Driving -- 4.2 System Model -- 4.2.1 Network Model -- 4.2.2 Computing Scheduling Scenarios -- 4.2.3 Age of Computing Results -- 4.3 Adaptive Computing Resource Scheduling -- 4.3.1 Restless Multi-armed Bandit Formulation -- 4.3.2 Indexability and Index Policy -- 4.4 Machine Learning-Based Scheduling Policy -- 4.4.1 DRL-Assisted Scheduling -- 4.4.2 Scheduling Scheme for Asynchronous Offloading -- 4.5 Performance Evaluation -- 4.5.1 Numerical Results -- 4.5.2 Simulation with a Real Dataset -- 4.6 Summary -- References -- 5 Conclusions | |
| 505 | 8 | |a 5.1 Conclusions on Intelligent Computing and Communication for IoV -- 5.2 Open Research Problems -- Index | |
| 650 | 4 | |a Internet of things | |
| 700 | 1 | |a Gao, Jie |e Sonstige |4 oth | |
| 700 | 1 | |a Shen, Xuemin (Sherman) |e Sonstige |4 oth | |
| 700 | 1 | |a Zhao, Lian |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Li, Mushu |t Intelligent Computing and Communication for the Internet of Vehicles |d Cham : Springer,c2023 |z 9783031228599 |
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Record in the Search Index
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| author | Li, Mushu |
| author_facet | Li, Mushu |
| author_role | aut |
| author_sort | Li, Mushu |
| author_variant | m l ml |
| building | Verbundindex |
| bvnumber | BV049872865 |
| collection | ZDB-30-PQE |
| contents | Intro -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 Internet of Vehicles (IoV) -- 1.2 IoV Use Cases -- 1.3 Network Characteristics in IoV -- 1.4 Outline of the Monograph -- References -- 2 Overview of Communication and Computing in IoV -- 2.1 Communication and Computing in IoV -- 2.2 V2X Communication Protocols -- 2.3 Vehicular Computing Resource Scheduling -- References -- 3 Protocol Design for Safety Message Broadcast -- 3.1 Communication in Safety Message Broadcast -- 3.2 Network Scenario -- 3.2.1 Basic Settings -- 3.2.2 Features of Safety Message Broadcast -- 3.2.3 Assumptions -- 3.3 CIDC: A Distributed and Adaptive MAC Design -- 3.3.1 Messaging Mechanism Design -- 3.3.2 Contention Intensity Estimation Method -- 3.3.3 Channel Access Mechanism Design -- 3.4 CIDC: Network-Perspective Modeling -- 3.5 CIDC: Performance Analysis -- 3.5.1 Basic Features -- 3.5.2 Packet-to-Slot Ratio -- 3.5.3 Contention Intensity and Contention Delay -- 3.5.4 Collision Conditions and Probability -- 3.6 Performance Evaluation -- 3.6.1 Performance with Accurate Contention Intensity Estimation -- 3.6.2 A Comparison of Analytical and Numerical Results -- 3.6.3 Performance Under Contention Intensity Estimation Errors -- 3.7 Summary -- References -- 4 Computing Scheduling for Autonomous Driving -- 4.1 Computing in Autonomous Driving -- 4.2 System Model -- 4.2.1 Network Model -- 4.2.2 Computing Scheduling Scenarios -- 4.2.3 Age of Computing Results -- 4.3 Adaptive Computing Resource Scheduling -- 4.3.1 Restless Multi-armed Bandit Formulation -- 4.3.2 Indexability and Index Policy -- 4.4 Machine Learning-Based Scheduling Policy -- 4.4.1 DRL-Assisted Scheduling -- 4.4.2 Scheduling Scheme for Asynchronous Offloading -- 4.5 Performance Evaluation -- 4.5.1 Numerical Results -- 4.5.2 Simulation with a Real Dataset -- 4.6 Summary -- References -- 5 Conclusions 5.1 Conclusions on Intelligent Computing and Communication for IoV -- 5.2 Open Research Problems -- Index |
| ctrlnum | (ZDB-30-PQE)EBC7169096 (ZDB-30-PAD)EBC7169096 (ZDB-89-EBL)EBL7169096 (OCoLC)1357547260 (DE-599)BVBBV049872865 |
| dewey-full | 388.312 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 388 - Transportation |
| dewey-raw | 388.312 |
| dewey-search | 388.312 |
| dewey-sort | 3388.312 |
| dewey-tens | 380 - Commerce, communications, transportation |
| discipline | Wirtschaftswissenschaften |
| edition | 1st ed |
| format | Electronic eBook |
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| id | DE-604.BV049872865 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-06T15:18:33Z |
| institution | BVB |
| isbn | 9783031228605 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035212323 |
| oclc_num | 1357547260 |
| open_access_boolean | |
| owner | DE-2070s |
| owner_facet | DE-2070s |
| physical | 1 Online-Ressource (90 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE HWR_PDA_PQE |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer |
| record_format | marc |
| series2 | SpringerBriefs in Computer Science Series |
| spelling | Li, Mushu Verfasser aut Intelligent Computing and Communication for the Internet of Vehicles 1st ed Cham Springer 2023 ©2023 1 Online-Ressource (90 Seiten) txt rdacontent c rdamedia cr rdacarrier SpringerBriefs in Computer Science Series Description based on publisher supplied metadata and other sources Intro -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 Internet of Vehicles (IoV) -- 1.2 IoV Use Cases -- 1.3 Network Characteristics in IoV -- 1.4 Outline of the Monograph -- References -- 2 Overview of Communication and Computing in IoV -- 2.1 Communication and Computing in IoV -- 2.2 V2X Communication Protocols -- 2.3 Vehicular Computing Resource Scheduling -- References -- 3 Protocol Design for Safety Message Broadcast -- 3.1 Communication in Safety Message Broadcast -- 3.2 Network Scenario -- 3.2.1 Basic Settings -- 3.2.2 Features of Safety Message Broadcast -- 3.2.3 Assumptions -- 3.3 CIDC: A Distributed and Adaptive MAC Design -- 3.3.1 Messaging Mechanism Design -- 3.3.2 Contention Intensity Estimation Method -- 3.3.3 Channel Access Mechanism Design -- 3.4 CIDC: Network-Perspective Modeling -- 3.5 CIDC: Performance Analysis -- 3.5.1 Basic Features -- 3.5.2 Packet-to-Slot Ratio -- 3.5.3 Contention Intensity and Contention Delay -- 3.5.4 Collision Conditions and Probability -- 3.6 Performance Evaluation -- 3.6.1 Performance with Accurate Contention Intensity Estimation -- 3.6.2 A Comparison of Analytical and Numerical Results -- 3.6.3 Performance Under Contention Intensity Estimation Errors -- 3.7 Summary -- References -- 4 Computing Scheduling for Autonomous Driving -- 4.1 Computing in Autonomous Driving -- 4.2 System Model -- 4.2.1 Network Model -- 4.2.2 Computing Scheduling Scenarios -- 4.2.3 Age of Computing Results -- 4.3 Adaptive Computing Resource Scheduling -- 4.3.1 Restless Multi-armed Bandit Formulation -- 4.3.2 Indexability and Index Policy -- 4.4 Machine Learning-Based Scheduling Policy -- 4.4.1 DRL-Assisted Scheduling -- 4.4.2 Scheduling Scheme for Asynchronous Offloading -- 4.5 Performance Evaluation -- 4.5.1 Numerical Results -- 4.5.2 Simulation with a Real Dataset -- 4.6 Summary -- References -- 5 Conclusions 5.1 Conclusions on Intelligent Computing and Communication for IoV -- 5.2 Open Research Problems -- Index Internet of things Gao, Jie Sonstige oth Shen, Xuemin (Sherman) Sonstige oth Zhao, Lian Sonstige oth Erscheint auch als Druck-Ausgabe Li, Mushu Intelligent Computing and Communication for the Internet of Vehicles Cham : Springer,c2023 9783031228599 |
| spellingShingle | Li, Mushu Intelligent Computing and Communication for the Internet of Vehicles Intro -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 Internet of Vehicles (IoV) -- 1.2 IoV Use Cases -- 1.3 Network Characteristics in IoV -- 1.4 Outline of the Monograph -- References -- 2 Overview of Communication and Computing in IoV -- 2.1 Communication and Computing in IoV -- 2.2 V2X Communication Protocols -- 2.3 Vehicular Computing Resource Scheduling -- References -- 3 Protocol Design for Safety Message Broadcast -- 3.1 Communication in Safety Message Broadcast -- 3.2 Network Scenario -- 3.2.1 Basic Settings -- 3.2.2 Features of Safety Message Broadcast -- 3.2.3 Assumptions -- 3.3 CIDC: A Distributed and Adaptive MAC Design -- 3.3.1 Messaging Mechanism Design -- 3.3.2 Contention Intensity Estimation Method -- 3.3.3 Channel Access Mechanism Design -- 3.4 CIDC: Network-Perspective Modeling -- 3.5 CIDC: Performance Analysis -- 3.5.1 Basic Features -- 3.5.2 Packet-to-Slot Ratio -- 3.5.3 Contention Intensity and Contention Delay -- 3.5.4 Collision Conditions and Probability -- 3.6 Performance Evaluation -- 3.6.1 Performance with Accurate Contention Intensity Estimation -- 3.6.2 A Comparison of Analytical and Numerical Results -- 3.6.3 Performance Under Contention Intensity Estimation Errors -- 3.7 Summary -- References -- 4 Computing Scheduling for Autonomous Driving -- 4.1 Computing in Autonomous Driving -- 4.2 System Model -- 4.2.1 Network Model -- 4.2.2 Computing Scheduling Scenarios -- 4.2.3 Age of Computing Results -- 4.3 Adaptive Computing Resource Scheduling -- 4.3.1 Restless Multi-armed Bandit Formulation -- 4.3.2 Indexability and Index Policy -- 4.4 Machine Learning-Based Scheduling Policy -- 4.4.1 DRL-Assisted Scheduling -- 4.4.2 Scheduling Scheme for Asynchronous Offloading -- 4.5 Performance Evaluation -- 4.5.1 Numerical Results -- 4.5.2 Simulation with a Real Dataset -- 4.6 Summary -- References -- 5 Conclusions 5.1 Conclusions on Intelligent Computing and Communication for IoV -- 5.2 Open Research Problems -- Index Internet of things |
| title | Intelligent Computing and Communication for the Internet of Vehicles |
| title_auth | Intelligent Computing and Communication for the Internet of Vehicles |
| title_exact_search | Intelligent Computing and Communication for the Internet of Vehicles |
| title_full | Intelligent Computing and Communication for the Internet of Vehicles |
| title_fullStr | Intelligent Computing and Communication for the Internet of Vehicles |
| title_full_unstemmed | Intelligent Computing and Communication for the Internet of Vehicles |
| title_short | Intelligent Computing and Communication for the Internet of Vehicles |
| title_sort | intelligent computing and communication for the internet of vehicles |
| topic | Internet of things |
| topic_facet | Internet of things |
| work_keys_str_mv | AT limushu intelligentcomputingandcommunicationfortheinternetofvehicles AT gaojie intelligentcomputingandcommunicationfortheinternetofvehicles AT shenxueminsherman intelligentcomputingandcommunicationfortheinternetofvehicles AT zhaolian intelligentcomputingandcommunicationfortheinternetofvehicles |