Tensor and Confident Information Coverage Based Reliability Evaluation for Large-Scale Intelligent Transportation Wireless Sensor Networks-Reference-Cited by-同舟云学术

Tensor and Confident Information Coverage Based Reliability Evaluation for Large-Scale Intelligent Transportation Wireless Sensor Networks

Published:2023-10 Issue:10 Volume:72 Page:13461-13473
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Xiao Ziheng¹,Deng Xianjun¹^ORCID,Lu Hongwei¹^ORCID,Xia Yunzhi¹^ORCID,Fan Xiaoxuan¹^ORCID,Yi Lingzhi²^ORCID,Yang Laurence T.¹

Affiliation:

1. Hubei Key Laboratory of Distributed System Security, Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

2. School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, Hubei, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Shenzhen Science and Technology Program

Artificial Intelligence and Intelligent Transportation Joint Technical Center of HUST

Hubei Chutian Intelligent Transportation Company

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/10287112/10144684.pdf?arnumber=10144684

Reference44 articles.

1. Estimation of Real-World Fuel Consumption Rate of Light-Duty Vehicles Based on the Records Reported by Vehicle Owners

2. End-to-End Reliability-Aware Scheduling for Wireless Sensor Networks

3. Energy Efficient Smart Routing Based on Link Correlation Mining for Wireless Edge Computing in IoT

4. A robust uncertainty-aware cluster-based deployment approach for WSNs: Coverage, connectivity, and lifespan

5. Graph Attention Network With Spatial-Temporal Clustering for Traffic Flow Forecasting in Intelligent Transportation System

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