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7
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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.
Skills and Expertise
Current institution
Anhui polytechnic university
Publications
Publications (7)
Advancements in embedded system technology and wireless communication have facilitated the extensive use of micro unmanned aerial vehicles (UAVs) in civil and public
service applications. Given their high survivability, broad
coverage, efficient task execution, and significant autonomy, micro UAVs are assembled into a networked aerial robot system,...
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...
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...
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...
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....
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...
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...