Integrated Sensing, Communication, and Computation for IoV: Challenges and Opportunities

The trend of coordinated development of intelligent and connected vehicles is driving the continuous expansion of application scenarios and service functions for the Internet of Vehicles (IoV). The IoV has evolved from basic in-vehicle information services to intelligent networking, enhancing perception and decision-making. It is now developing towards coordinated vehicle-infrastructure control with moderate sensing and decision-making. However, the traditional separation of sensing, communication, and computation functions—and even their pairwise integrations, such as Integrated Sensing and Communication (ISAC), Integrated Communication and Computation (ICC), and Integrated Sensing and Computation (ISC)—create systemic inefficiencies like data redundancy and resource imbalance, which pose a critical bottleneck to the advancement of IoV. The unique characteristics of the IoV, particularly its mission objectives centered on safety and sensing, and the highly dynamic, resource-constrained network environment—compound these systemic inefficiencies, necessitating a dedicated investigation into an IoV-specific ISCC paradigm. Motivated by this, this paper provides the first in-depth, IoV-centric survey of the ISCC paradigm. First, we comprehensively review the development trajectory of the IoV, and based on this evolutionary path, define and categorize the development of ISCC into three distinct phases—Collaborative, Fusion, and Integrated—to clarify its integration process. Second, we analyze the limitations of partial integration paradigms (ISAC, ICC, ISC) and then establish a comprehensive taxonomy of ISCC implementation pathways, encompassing both physical-layer signal integration and network-level task-oriented resource management. Third, we survey the preliminary applications and research on the ISCC in the IoV and related fields. Finally, we outline the challenges and potential solutions to facilitate the realization of the ISCC in the IoV.

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Publication Details

Journal
IEEE Communications Surveys & Tutorials
Published
2025-09-22
DOI
https://doi.org/10.1109/comst.2025.3612388
Citations
2
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
2.01
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article

Integrated Sensing, Communication, and Computation for IoV: Challenges and Opportunities

2 citations
IEEE Communications Surveys & Tutorials
BIM and Construction Integration
2.01
article

Integrated Sensing, Communication, and Computation for IoV: Challenges and Opportunities

article en
2 citations

Abstract

The trend of coordinated development of intelligent and connected vehicles is driving the continuous expansion of application scenarios and service functions for the Internet of Vehicles (IoV). The IoV has evolved from basic in-vehicle information services to intelligent networking, enhancing perception and decision-making. It is now developing towards coordinated vehicle-infrastructure control with moderate sensing and decision-making. However, the traditional separation of sensing, communication, and computation functions—and even their pairwise integrations, such as Integrated Sensing and Communication (ISAC), Integrated Communication and Computation (ICC), and Integrated Sensing and Computation (ISC)—create systemic inefficiencies like data redundancy and resource imbalance, which pose a critical bottleneck to the advancement of IoV. The unique characteristics of the IoV, particularly its mission objectives centered on safety and sensing, and the highly dynamic, resource-constrained network environment—compound these systemic inefficiencies, necessitating a dedicated investigation into an IoV-specific ISCC paradigm. Motivated by this, this paper provides the first in-depth, IoV-centric survey of the ISCC paradigm. First, we comprehensively review the development trajectory of the IoV, and based on this evolutionary path, define and categorize the development of ISCC into three distinct phases—Collaborative, Fusion, and Integrated—to clarify its integration process. Second, we analyze the limitations of partial integration paradigms (ISAC, ICC, ISC) and then establish a comprehensive taxonomy of ISCC implementation pathways, encompassing both physical-layer signal integration and network-level task-oriented resource management. Third, we survey the preliminary applications and research on the ISCC in the IoV and related fields. Finally, we outline the challenges and potential solutions to facilitate the realization of the ISCC in the IoV.

IEEE Communications Surveys & TutorialsVol. 28
Xidian University (CN), Carleton University (CA)
Openalex Percentile: Top 12%
BIM and Construction Integration
2.01
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Integrated Sensing, Communication, and Computation for IoV: Challenges and Opportunities · IEEE Communications Surveys & Tutorials (2025) | TGRS Research Map | TGRS