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001453812 001__ 1453812
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001453812 019__ $$a1356981879$$a1357015837$$a1358462532
001453812 020__ $$a9783031228605$$q(electronic bk.)
001453812 020__ $$a303122860X$$q(electronic bk.)
001453812 020__ $$z9783031228599
001453812 020__ $$z3031228596
001453812 0247_ $$a10.1007/978-3-031-22860-5$$2doi
001453812 035__ $$aSP(OCoLC)1357547260
001453812 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCQ$$dUKAHL
001453812 049__ $$aISEA
001453812 050_4 $$aTE228.37
001453812 08204 $$a388.3/12$$223/eng/20230111
001453812 1001_ $$aLi, Mushu,$$eauthor.
001453812 24510 $$aIntelligent computing and communication for the internet of vehicles /$$cMushu Li, Jie Gao, Xuemin (Sherman) Shen, Lian Zhao.
001453812 264_1 $$aCham :$$bSpringer,$$c[2023]
001453812 264_4 $$c©2023
001453812 300__ $$a1 online resource (x, 82 pages) :$$billustrations (some color).
001453812 336__ $$atext$$btxt$$2rdacontent
001453812 337__ $$acomputer$$bc$$2rdamedia
001453812 338__ $$aonline resource$$bcr$$2rdacarrier
001453812 4901_ $$aSpringerBriefs in computer science
001453812 504__ $$aIncludes bibliographical references and index.
001453812 5050_ $$a1 Introduction -- 1.1 Internet of Vehicles (IoV) -- 1.2 IoV Use Cases -- 1.3 Network Characteristics in IoV -- 1.4 Outline of the Monograph -- References -- 2 Overview of Communication and Computing in IoV -- 2.1 Communication and Computing in IoV -- 2.2 V2X Communication Protocols -- 2.3 Vehicular Computing Resource Scheduling -- References -- 3 Protocol Design for Safety Message Broadcast -- 3.1 Communication in Safety Message Broadcast -- 3.2 Network Scenario -- 3.2.1 Basic Settings -- 3.2.2 Features of Safety Message Broadcast -- 3.2.3 Assumptions -- 3.3 CIDC: A Distributed and Adaptive MAC Design -- 3.3.1 Messaging Mechanism Design -- 3.3.2 Contention Intensity Estimation Method -- 3.3.3 Channel Access Mechanism Design -- 3.4 CIDC: Network-Perspective Modeling -- 3.5 CIDC: Performance Analysis -- 3.5.1 Basic Features -- 3.5.2 Packet-to-Slot Ratio -- 3.5.3 Contention Intensity and Contention Delay -- 3.5.4 Collision Conditions and Probability -- 3.6 Performance Evaluation -- vii -- viii Contents -- 3.6.1 Performance with Accurate Contention Intensity -- Estimation -- 3.6.2 A Comparison of Analytical and Numerical Results -- 3.6.3 Performance under Contention Intensity Estimation -- Errors -- 3.7 Summary -- References -- 4 Computing Scheduling for Autonomous Driving -- 4.1 Computing in Autonomous Driving -- 4.2 System Model -- 4.2.1 Network Model -- 4.2.2 Computing Scheduling Scenarios -- 4.2.3 Age of Computing Results -- 4.3 Adaptive Computing Resource Scheduling -- 4.3.1 Restless Multi-armed Bandit Formulation -- 4.3.2 Indexability and Index Policy -- 4.4 Machine Learning-based Scheduling Policy -- 4.4.1 DRL-assisted Scheduling -- 4.4.2 Scheduling Scheme for Asynchronous Offloading -- 4.5 Performance Evaluation -- 4.5.1 Numerical Results -- 4.5.2 Simulation in a Real Dataset -- 4.6 Summary -- References -- 5 Conclusions -- 5.1 Conclusions on Intelligent Computing and Communication -- in IoV -- 5.2 Open Research Problems.
001453812 506__ $$aAccess limited to authorized users.
001453812 520__ $$aThis book investigates intelligent network resource management for IoV, with the objective of maximizing the communication and computing performance of vehicle users. Focusing on two representative use cases in IoV, i.e., safety message broadcast and autonomous driving, the authors propose link-layer protocol design and application-layer computing task scheduling to achieve the objective given the unique characteristics and requirements of IoV. In particular, this book illustrates the challenges of resource management for IoV due to network dynamics, such as time-varying traffic intensity and vehicle mobility, and presents intelligent resource management solutions to adapt to the network dynamics. The Internet of Vehicles (IoV) enables vehicle-to-everything connectivity and supports a variety of applications for vehicles on the road Intelligent resource management is critical for satisfying demanding communication and computing requirements on IoV, while the highly dynamic network environments pose challenges to the design of resource management schemes. This book provides insights into the significance of adaptive resource management in improving the performance of IoV. The customized communication protocol and computing scheduling scheme are designed accordingly by taking the network dynamics information as an integral design factor. Moreover, the decentralized designs of the proposed solutions guarantee low signaling overhead and high scalability. A comprehensive literature review summarizing recent resource management schemes in IoV, followed by the customized design of communication and computing solutions for the two IoV use cases is included which can serve as a useful reference for professionals from both academia and industry in the area of IoV and resource management. Researchers working within this field and computer science and electrical engineering students will find this book useful as well.
001453812 588__ $$aDescription based on print version record.
001453812 650_0 $$aVehicular ad hoc networks (Computer networks)
001453812 650_0 $$aInternet of things.
001453812 655_0 $$aElectronic books.
001453812 7001_ $$aGao, Jie,$$d1985-$$eauthor.
001453812 7001_ $$aShen, X.$$q(Xuemin),$$d1958-$$eauthor.$$1https://isni.org/isni/0000000113128394
001453812 7001_ $$aZhao, Lian,$$eauthor.
001453812 77608 $$iPrint version:$$aLi, Mushu.$$tIntelligent computing and communication for the internet of vehicles.$$dCham : Springer Nature Switzerland, 2023$$z9783031228599$$w(OCoLC)1356958714
001453812 830_0 $$aSpringerBriefs in computer science.
001453812 852__ $$bebk
001453812 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-22860-5$$zOnline Access$$91397441.1
001453812 909CO $$ooai:library.usi.edu:1453812$$pGLOBAL_SET
001453812 980__ $$aBIB
001453812 980__ $$aEBOOK
001453812 982__ $$aEbook
001453812 983__ $$aOnline
001453812 994__ $$a92$$bISE