Jun li

Jun li
Anhui polytechnic university · School of Computer and Information

Master of Engineering

About

6
Publications
7,588
Reads
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82
Citations
Citations since 2017
4 Research Items
73 Citations
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201720182019202020212022202305101520
Introduction
Jun li currently works at the School of Computer and Information, Anhui Polytechnic University, China. Jun does research in Artificial Intelligence and Computer Network.

Publications

Publications (6)
Conference Paper
Full-text available
This study shows how a swarm of unmanned aerial vehicles can cooperate to guarantee network throughput for data dissemination of voices, different resolution images, and videos in research and rescue operations. In this paper, we design a flying communication relay network based on a throughput-aware virtual force mechanism. This mechanism is a vir...
Conference Paper
Full-text available
In recent years, Flying Ad hoc Networks (FANETs) consisted of multi Unmanned aerial vehicles (UAVs) through multi-hop wireless communication links, which have been widely involved in the military and civilian domains. Due to highly dynamic topology, high mobility, and varying radio link quality, the unicast routing protocols for FANETs still provid...
Article
Full-text available
The Unmanned Aerial Vehicles Ad hoc Network (UAANET) consists of multi UAVs through multi-hop wireless communication links, and it can execute missions more efficiently compared with the single UAV. Due to its dynamic topology, fast-moving velocity, and unstable radio channel quality, message delivery in UAANET often suffers from increased delays a...
Preprint
The Unmanned Aerial Vehicles Ad hoc Network (UAANET) consisted of multi UAVs through multi-hop wireless communication links, can execute missions more efficiently compared with single UAV. Due to dynamic topology, fast moving velocity, and unstable radio channel quality, message delivery in UAANET often suffers from increased delay and packet loss....
Conference Paper
Full-text available
Community detection is a significant but challenging task in the field of social network analysis. Many effective methods have been proposed to solve this problem. However, most of them are mainly based on the topological structure or node attributes. In this paper, based on SPAEM [1], we propose a joint probabilistic model to detect community whic...
Conference Paper
Full-text available
This paper provides a detailed review of tournament selection in genetic programming. It starts from introducing tournament selection and genetic programming, followed by a brief explanation of the popularity of the tournament selection in genetic programming. It then reviews issues and drawbacks in tournament selection, followed by analysis of and...

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