Task-Driven Cooperative Internet of the Robotic Things Crowdsourcing: From the Perspective of Hierarchical Game-Theoretic-Reference-Cited by-同舟云学术

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Task-Driven Cooperative Internet of the Robotic Things Crowdsourcing: From the Perspective of Hierarchical Game-Theoretic

Published:2024 Issue: Volume: Page:1-1
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Xiao Han¹^ORCID,Huang Zhenglei²,Xu Zuyun¹,Yang Shujie¹,Wang Wendong¹^ORCID,Zhong Lujie³^ORCID,Xu Changqiao¹^ORCID

Affiliation:

1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, P.R. China

2. Research Institute of China Mobile, Beijing, China

3. Information Engineering College, Capital Normal University, Beijing, China

Funder

Postdoctoral Research Foundation of China

Zhejiang Lab Open Research Project

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/6702522/10380784.pdf?arnumber=10380784

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1. An amalgamated correlation and regression based feature selection with ensemble learning approach for IoT network attack detection;Internet Technology Letters;2024-07-29

2. PAM: Predictive analytics and modules‐based computation offloading framework using greedy heuristics and 5G NR‐V2X;Transactions on Emerging Telecommunications Technologies;2024-06-25

3. A Model-Free Solution for Stackelberg Games Using Reinforcement Learning and Projection Approaches;2024 IEEE International Symposium on Robotic and Sensors Environments (ROSE);2024-06-20

4. Achievable secrecy rate analysis of OFDM‐based multi‐user untrusted relay networks with imperfect CSI;Transactions on Emerging Telecommunications Technologies;2024-06

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