H
Houbing Song
Researcher at Embry-Riddle Aeronautical University, Daytona Beach
Publications - 528
Citations - 17473
Houbing Song is an academic researcher from Embry-Riddle Aeronautical University, Daytona Beach. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 56, co-authored 425 publications receiving 11550 citations. Previous affiliations of Houbing Song include Shanxi Agricultural University & University of Virginia.
Papers
More filters
Proceedings ArticleDOI
Integrating ground surveillance with aerial surveillance for enhanced amateur drone detection
TL;DR: This paper proposes a novel surveillance framework which leverages Surveillance Unmanned Aerial Systems (SUASs) to detect AUASs, and integrates both radio and image processing techniques, thus achieving enhanced AUAS detection capability.
Journal ArticleDOI
Bio-inspired routing for heterogeneous Unmanned Aircraft Systems (UAS) swarm networking
TL;DR: In this paper, a bio-inspired routing for heterogeneous UAV swarm networking is proposed, which can improve the efficiency, flexibility, and robustness of the UAS swarm network.
Journal ArticleDOI
Guest Editorial: Recent Advances in Cyber-Physical Security in Industrial Environments
TL;DR: The term of “Smart Industrial Environment” can be used to refer to each aspect of the industrial environments focused on the future, being smart vehicles, smart systems of transportation, smart devices (wearables and smartphones), smart services and smart services.
Book ChapterDOI
Analysis of Segregated Witness Implementation for Increasing Efficiency and Security of the Bitcoin Cryptocurrency
TL;DR: In this paper, the authors present mechanisms and algorithms for improving Bitcoin cryptocurrency efficiency, security along with the block propagation times based on both the simulation and real data from the Bitcoin network.
Journal ArticleDOI
Logistic and scheduling optimization of the mobilized and distributed battery in urban energy systems
TL;DR: In this paper , a two-stage logistic and scheduling optimization model is proposed to realize the power transportation between renewable energy power plants and cities, and the results indicate that the average levelized cost of electricity is as low as 0.052 $/kWh, illustrating the great technical and economic performance of battery logistics and scheduling.