Shuo Peng

According to our database1, Shuo Peng authored at least 15 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Hybrid User-Based Task Assignment for Mobile Crowdsensing: Problem and Algorithm.
IEEE Internet Things J., June, 2024

2023
A Multiplatform-Cooperation-Based Task Assignment Mechanism for Mobile Crowdsensing.
IEEE Internet Things J., October, 2023

The Diagnosability of Interconnection Networks with Missing Edges and Broken-Down Nodes Under the PMC and MM* Models.
Comput. J., August, 2023

Time window-based online task assignment in mobile crowdsensing: Problems and algorithms.
Peer Peer Netw. Appl., March, 2023

2022
Operation and Key Technologies in Space-Air-Ground Integrated Network.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

Cluster based Online Task Assignment for Mobile Crowdsensing.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Time Window-based Online Task Assignment for Mobile Crowdsensing.
Proceedings of the ICC 2021, 2021

2020
<i>R</i><sub><i>g</i></sub> conditional diagnosability: A novel generalized measure of system-level diagnosis.
Theor. Comput. Sci., 2020

AP-Assisted Online Task Assignment Algorithms for Mobile Crowdsensing.
Mob. Networks Appl., 2020

Budget Constrained Task Assignment Algorithm for Mobile Crowdsensing.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
AP-Assisted Online Task Assignment for Mobile Crowdsensing.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
An Effective and Efficient Hybrid Algorithm Based on HS-IWO for Global Optimization.
Int. J. Pattern Recognit. Artif. Intell., 2018

Conditional Diagnosability of Exchanged Hypercube Under the MM* Model.
IEEE Access, 2018

2015
An Adaptive Invasive Weed Optimization Algorithm.
Int. J. Pattern Recognit. Artif. Intell., 2015

2014
Estimating of the total atmospheric precipitable water vapor amount from the Chinese new generation polar orbit FengYun meteorological satellite (FY-3) data.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014


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