Xiao Cheng
Nanjing University
6 Papers
27 Citations
Xiao Cheng is an academic researcher from Nanjing University. The author has contributed to research in topics: Submodular set function & Greedy algorithm. The author has an hindex of 4, co-authored 6 publications.
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Papers
Joint Optimization of Area Coverage and Mobile-Edge Computing With Clustering for FANETs
TL;DR: The coverage efficiency is defined and an iterative coverage-efficient clustering algorithm (CECA) is proposed by applying penalty and block coordinate descent methods and shows that the proposed approach is superior to other approaches in terms of coverage efficiency and delay.
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Placement of Unmanned Aerial Vehicles for Directional Coverage in 3D Space
Weijun Wang,Haipeng Dai,Chao Dong,Xiao Cheng,Xiaoyu Wang,Panlong Yang,Guihai Chen,Wanchun Dou +7 more
TL;DR: This paper establishes the 3D directional coverage model for both cameras and objects and proposes a Dominating Coverage Set (DCS) extraction method to reduce the infinite solution space of PANDA to a limited one without performance loss.
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PANDA: Placement of Unmanned Aerial Vehicles Achieving 3D Directional Coverage
Weijun Wang,Haipeng Dai,Chao Dong,Xiao Cheng,Xiaoyu Wang,Guihai Chen,Wanchun Dou +6 more
- 01 Apr 2019
TL;DR: This paper proposes a Dominating Coverage Set (DCS) extraction method to reduce the infinite solution space of PANDA to a limited one without performance loss, and presents a greedy algorithm with 1 -1 /e approximation ratio to address this problem.
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MOOC: A Mobility Control Based Clustering Scheme for Area Coverage in FANETs
Xiao Cheng,Chao Dong,Haipeng Dai,Guihai Chen +3 more
- 12 Jun 2018
TL;DR: A MObility cOntrol based Clustering (MOOC) scheme for area coverage in FANETs is proposed and a mobility control strategy is designed for different types of nodes based on virtual forces, considering both reducing overlapped coverage and maintaining connections to improve clustering performances.
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VISIT: Placement of Unmanned Aerial Vehicles for Anisotropic Monitoring Tasks
Weijun Wang,Haipeng Dai,Chao Dong,Fu Xiao,Xiao Cheng,Guihai Chen +5 more
- 01 Jun 2019
TL;DR: This paper establishes the monitoring model whose quality of monitoring (QoM) is anisotropy with respect to monitoring angle and monitoring distance and proposes an algorithm consisting of area discretization and Monitoring Dominating Set (MDS) extraction, to reduce the infinite solution space to a limited one without performance loss.
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