Task recommendation method for fusion of multi-view social relationship learning and reasoning in the mobile crowd sensing system-Reference-Cited by-同舟云学术

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Task recommendation method for fusion of multi-view social relationship learning and reasoning in the mobile crowd sensing system

Published:2023-06 Issue: Volume:206 Page:60-72
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Wang Jian^ORCID,Zhang Zhe,Zhao Guosheng

Funder

Natural Science Foundation of Heilongjiang Province

Specialized Research Fund for the Doctoral Program of Higher Education of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference45 articles.

1. Mobile crowdsensing: current state and future challenges;Ganti;IEEE Commun. Mag.,2011

2. Crowd-powered sensing and actuation in smart cities: Current issues and future directions;Wang;IEEE Wirel. Commun.,2019

3. Sboing4Real: A real-time crowdsensing-based traffic management system;Toliopoulos;J. Parallel Distrib. Comput.,2022

4. A mobile crowd sensing application for hypertensive patients;Jovanović;Sensors,2019

5. Blockchain based mobile crowd sensing in industrial systems;Huang;IEEE Trans. Ind. Inform.,2020

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reschedulable Task Allocation Strategy in Cloud-Edge-End Cooperative Mobile Crowd Sensing;ICC 2024 - IEEE International Conference on Communications;2024-06-09

2. Multi-cloud resource scheduling intelligent system with endogenous security;Electronic Research Archive;2024

3. Adaptive task recommendation based on reinforcement learning in mobile crowd sensing;Applied Intelligence;2024-01

4. Overlapping Coalition Formation Game via Multi-Objective Optimization for Crowdsensing Task Allocation;Electronics;2023-08-15

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