activity
20192025
most citedGame Theory based Joint Task Offloading and Resources Allocation Algorithm for Mobile Edge Computing

5 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2025

HMCGeo: IP Region Prediction Based on Hierarchical Multi-label Classification

Tianzi Zhao, Xinran Liu, Zhaoxin Zhang +4

Fine-grained IP geolocation plays a critical role in applications such as location-based services and cybersecurity. Most existing fine-grained IP geolocation methods are regressio…

cs.NI2024★ 2 cited

6Rover: Leveraging Reinforcement Learning-based Address Pattern Mining Approach for Discovering Active Targets in IPv6 Unseeded Space

Zhichao Zhang, Zhaoxin Zhang, Yanan Cheng +1

The discovery of active IPv6 addresses represents a pivotal challenge in IPv6 network survey, as it is a prerequisite for downstream tasks such as network topology measurements and…

cs.NI2022

CoNet: Borderless and decentralized server cooperation in edge computing

Ning Li, Xin Yuan, Zhaoxin Zhang +1

In edge computing (EC), by offloading tasks to edge server or remote cloud, the system performance can be improved greatly. However, since the traffic distribution in EC is heterog…

cs.NI2019★ 2 cited

Pairwise-based Multi-Attribute Decision Making Approach for Wireless Network

Ning Li, Jianen Yan, Zhaoxin Zhang +2

In the wireless network applications, such as routing decision, network selection, etc., the Multi-Attribute Decision Making (MADM) has been widely used. The MADM approach can addr…

cs.NI2019

Geographical and Topology Control based Opportunistic Routing for Ad Hoc Networks

Ning Li, Zhaoxin Zhang, Jose-Fernan Martinez-Ortega +1

The opportunistic routing has great advantages on improving packet delivery probability between the source node and candidate forwarding set. For improving and reducing energy cons…

cs.NI2019★ 5 cited

Game Theory based Joint Task Offloading and Resources Allocation Algorithm for Mobile Edge Computing

Jianen Yan, Ning Li, Zhaoxin Zhang +3

Mobile edge computing (MEC) has emerged for reducing energy consumption and latency by allowing mobile users to offload computationally intensive tasks to the MEC server. Due to th…