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Artificial Intelligence of Things: A Survey

ACM Transactions on Sensor Networks(2024)10.1145/3690639Source: DataRank Database

Artificial Intelligence of Things: A Survey is a research paper published in ACM Transactions on Sensor Networks (2024). On theSindex it has a DataRank of 0. It has been cited 62 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access62 citations

Free full text

Cite:

Linked data & code

Artificial Intelligence of Things: A Survey · arXiv

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (16 grants)Impact (FWCI 13.54)OA: bronzeTopics (16)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (10)

Hyunho Ahn ORCID,Li Liu ORCID,Samiul Alam ORCID,Haowei Shen ORCID,Zhichao Cao ORCID

Live enrichment

PubMed:26657633 OpenAlex:https://openalex.org/W4402054386

National Science Foundation (NSF) Grants NSF AI Institute

Grant: CNS-2112471, CNS-2312836, CNS-2106933, CNS-2106932, CNS-2312836, CNS-1955535, and CNS-1901057

Army Research Office

Grant: W911NF-21-1-0244

Army Research Laboratory

Grant: W911NF-23-2-0225

Defense Advanced Research Projects Agency

Grant: HR001120C0160

ARL

Grant: W911NF-17-2-0196

Air Force Office of Scientific Research

Grant: FA95502210193

National Institutes of Health (NIH) mDOT Center

Grant: 1P41EB028242

NSF

Grant: NeTS-2312674, NeTS-2312675

National Science Foundation

Grant: 1901057

CNS Core: Medium: Collaborative: Exploring and Exploiting Learning for Efficient Network Control: Non-Stationarity, Inter-Dependence, and Domain-Knowledge

National Science Foundation

Grant: 2312836

Collaborative Research: NeTS: Medium: Black-box Optimization of White-box Networks: Online Learning for Autonomous Resource Management in NextG Wireless Networks

National Science Foundation

Grant: 2112471

AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE)

National Science Foundation

Grant: 2312675

Collaborative Research: NeTS: Medium: Towards High-Performing LoRa with Embedded Intelligence on the Edge

National Science Foundation

Grant: 2106932

Collaborative Research: CNS Core: Medium: Information Freshness in Scalable and Energy Constrained Machine to Machine Wireless Networks

National Science Foundation

Grant: 2106933

Collaborative Research: CNS Core: Medium: Analytics and Online Optimization at Scale for Cellular Networks

National Institutes of Health

Grant: 3P41EB028242-04S1

Administrative Supplement to P41EB028242 award (The mDOT Center): WristPrint: Bioethical Policy Implications of the Emerging Re-identifiability Risks from Wrist-worn Activity Data.

National Science Foundation

Grant: 1955535

Collaborative Research: CNS Core: Medium: Combating Latency and Disconnectivity in mmWave Networks: From Theory to Implementation

FWCI

13.54

Citation Percentile

1.0%

Citation Trend

2025

2026

bronzeLicense: https://www.acm.org/publications/policies/copyright_policy#Background

journalhttps://dl.acm.org/doi/pdf/10.1145/3690639

publisherhttps://dl.acm.org/doi/pdf/10.1145/3690639

publisherhttps://dl.acm.org/doi/10.1145/3690639

journalhttps://doi.org/10.1145/3690639

repositoryhttp://arxiv.org/abs/2410.19998

Fields of Study

IoT and Edge/Fog ComputingAnomaly Detection Techniques and ApplicationsEEG and Brain-Computer Interfaces0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Computer scienceInternet of ThingsArtificial intelligenceData scienceHuman–computer interactionComputer securityComputer Science - Networking and Internet ArchitectureNetworking and Internet Architecture (cs.NI)FOS: Computer and information sciencesArtificial Intelligence (cs.AI)Computer Science - Artificial Intelligence

Artificial Intelligence of Things: A Survey

10.48550/arxiv.2410.19998arXiv