Zhenhui Yuan (袁振珲), Ph.D., MIEEE
Associate Editor, IEEE ACCESS (IF:3.557)
Associate Editor, IEEE Trans. on Consumer Electronics (IF:1.8)
Associate Professor, Hangzhou Dianzi University
Co-Founder @ RobSense Technology
#Networked Drones #Industrial IoT

I am very active in collaboration! Drop me an email and let's make some changes!

About Me


Dr Zhenhui Yuan received his B.degree (Software Engineering) at Wuhan University, China, in 2008 and PhD (EE) at Dublin City University, Ireland, in 2012. His research focuses on industrial IoT with field robotics. He was the postdoc researcher (2012-2014) funded by Ericsson and Enterprise Ireland on the E-Stream project developing next generation telecom management system. He was the visiting scholar (2014) at Network Research Lab (led by Prof. Mario Gerla), UCLA, U.S. He was 3GPP researcher on 5G (2014-2015) at Huawei (Shanghai) Technologies.Co.Ltd. Since 2015, he is the associate professor at school of electronics and information at Hangzhou Dianzi University where he founded the intelligent Robotic Communications Group (iRoC Group) at Key Lab of RF Circuits and Systems, Ministry of Education. He is the co-founder and CTO at RobSense (Hangzhou) Technology Co.Ltd , a start up designing all-programmable drone flight controller and swarming platform. He has published over 20 papers at international journals and conferences. He won the best paper awards at IEEE ICCRE 2016 and IEEE BMSB 2014. Since 2012, he acts as the TPC member at international conferences such as IEEE Globecom, ICC, WCNC, etc.

袁振珲2008年毕业于武汉大学国际软件学院（工学学士），2012年在都柏林城市大学（爱尔兰）获得电子工程博士学位。研究专注基于野外机器人的工业物联网系统。2012-2014年在爱立信（爱尔兰）与爱尔兰工业部资助下从事博士后研究工作，研发基于实时大数据分析的下一代移动通信管理系统。2014年在美国加州大学洛杉矶分校（UCLA）Network Research Lab做访问学者。2014年-2015年在华为（上海）技术有限公司任5G研究员暨3GPP国际标准代表。2015年7月起，任杭州电子科技大学教育部射频电路与系统重点实验室副教授, 成立机器人感知与通信研究组。2015年，联合成立杭州若联科技有限公司(RobSense Technology)负责工业物联网平台，参与设计单芯片全可编程无人机飞控及机器人物联网网关产品。已经发表论文20余篇，包括IEEE Communications Magazine, IEEE Trans. Multimedia，IEEE Trans. Vehicular Technology，IEEE Trans.Broadcasting等国际期刊，获得2016年IEEE控制与机器人工程会议和2014年IEEE多媒体广播技术国际会议最佳论文。 在IEEE Globecom, ICC, WCNC等国际会议担任TPC成员，并担任多部国际期刊审稿人。获得2016年浙江省“钱江人才”。作为项目负责人承担一项国家自然科学基金青年基金项目(#61601159)。

Projects

  • "Communications Subsystems Design for Drone Swarm", Qianjiang Talented Programme (#QJD1602018), P.R.China, Jan 2017-Dec 2019 (50,000 RMB), PI.
  • "Software Defined Routing for Unmanned Aerial Vehicles Swarm", NSFC (#61601159), P.R.China, Jan 2017-Dec 2019 (260,000 RMB), PI.
  • "Drone, Car, Cabinet: Smart 'Last-mile' Delivery", Electronic Science and Technology — Zhejiang Open Foundation of the Most Important Subjects, Oct 2015 - Oct 2016 (50,000 RMB), PI.
  • "Key Research on Drone-based IoT Services", Hangzhou Dianzi University Start-up Research Grant, Sept 2015 - Sept 2018 (80,000 RMB), PI.
  • "Augmented Reality Video Streaming Service: Protocol and Prototype", Dublin City University Performance Enhancing Initiatives, Nov. 2013-Oct. 2014 (2,500 euro),PI.
  • "E-Stream: Innovative Performance Management System for Heterogeneous Network Environments", Ericsson-Enterprise Ireland Innovation Partnership Project, Oct. 2012-Oct.2014, (400,000 euro), Package Leader.

Research

Open-source Release

  1. EasySwarm (Personal Edition): A Software Platform for Drone Swarm Controlling [Manual] [Video] [Code]

Trace Data from Drones

Signal Strength Measurement with Drones
  • Hardware: three quadcopters from RobSense, one laptop (ground station), SwarmLink gateway/nodes from RobSense
  • Software: EasySwarm Personal Edition
  • Network topology: ''Star'' topology
  • Static use case: three drones are hovering at 30m for 5min. The laptop collects received RSSI for each drone.
  • Mobile use case: three drones fly in a circle with the laptop in the center, at the height of 30m, at the speed of 3m/s, for 5min. The laptop collects received RSSI for each drone.
  • [Test-bed built by Mr.Yujie Zhang@Hangzhou Dianzi University]
  • [RSSI Trace Download (xlsx)] [Testbed Screenshot]
IoT Sensoring with Drone Swarm
  • Scenario: Three quadcopters hover at 30m height for 4mins outdoor. Each drone is equiped with three different IoT sensors to collect [temperature, humidity and gas]. Data is sent from drones to the same laptop on ground via the same WiFi.
  • Trace file: throughput of IoT data.
  • WiFi mode: IEEE 802.11n, CSMA/CA DCF, 2.4GHz, channel 7, QPSK modulation.
  • Note that, actual throughput are impacted by many factors, e.g. the number of drones, channel condition, link layer protocol, physical layer setting, mobility, etc.
  • Who can use the trace: 1) EasySwarm users can directly import the trace file including a swarm navigation plan; 2)People that are using network simulators (NS3/OPNET/OMET/...) can import the trace file as traffic load.
  • [Test-bed built by Mr.Yujie Zhang@Hangzhou Dianzi University]
  • [Throughput Trace Download (ZIP)] [Testbed Screenshot]

White Papers

  1. RobSense Research 2017 [English Version] [中文版]

Tutorial & Examples

Code on Git: github.com/zhenhuiyuan
  1. Machine-Vision Robotics with Python <2018> [PDF]
  2. Collision-avoidance Sensors for Robotics <2018> [PDF]

Patent

  1. [Chinese Patent ZL201610070380.5] "A new metric for drone video quality assessment"
  2. [Chinese Patent ZL201520606541.9] "A new method for drone multimedia communications systems"
  3. [Chinese Patent ZL201520606406.4] "A new method for smart delivery with drones"

Journal

  1. Z. Yuan, J. Jin, L. Sun, Kwan-Wu Chin and Gabriel-Miro Muntean, “Ultra-Reliable IoT Communications with UAVs: A Swarm Use Case”, IEEE Communications Magazine, vol. 56, no. 12, pp. 90-96, Dec 2018. ( IF=10.435).
  2. Z. Yuan, J. Jin, J. Chen, L. Sun and Gabriel-Miro Muntean, “ComProSe: Shaping Future Public Safety Communities with ProSe-based UAVs”, IEEE Communications Magazine, vol. 55, no. 12, pp. 165-171, Dec 2017. ( IF=10.435). [PDF]
  3. S. Chen, Z. Yuan, Gabriel-Miro Muntean, “Balancing Energy and Quality-awareness: A MAC-Layer Duty-Cycle Management Solution for Multimedia Delivery over Wireless Mesh Networks”, IEEE Transactions on Vehicular Technology, vol.66, no.2, pp.1547-1560, Apr 2016. (IF=2.642). [PDF]
  4. Y. Han, Z. Yuan, G.-M. Muntean, "An Innovative No-Reference Metric for Real-time 3D Stereoscopic Video Quality Assessment", IEEE Transactions on Broadcasting, vol. 62, no. 3, pp. 654-663, Mar 2016. (IF=1.825). [PDF]
  5. S. Chen, Z. Yuan, Gabriel-Miro Muntean, “An Energy-aware Routing Algorithm for Quality-oriented Wireless Video Delivery”, IEEE Transactions on Broadcasting, vol. 62, no. 1, pp. 55-68, Mar 2016. (IF=1.825). [PDF]
  6. Z. Yuan, T. Bi, G. Ghinea, and G.-M. Muntean, “Perceived Synchronization of Mulsemedia Services”, IEEE Transactions on Multimedia, vol. 17, no. 7, pp. 957 - 966, May 2015. (IF=2.303). [PDF]
  7. Z. Yuan, G. Ghinea, and G.-M. Muntean, “Beyond Multimedia Adaptation: Quality of Experience-aware Multi-sensorial Media Delivery ”, IEEE Transactions on Multimedia, vol. 17, no.1, pp. 104-117, Jan 2015. (IF=2.303). [PDF]
  8. Z. Yuan, S. Chen, G. Ghinea, G.-M. Muntean, “User Quality of Experience of Mulsemedia Applications”, ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM), vol. 11, no. 1, Sept 2014. (IF=1.586) [PDF]
  9. Z. Yuan and G.-M. Muntean, "iVoIP: an Intelligent Bandwidth Management Scheme for VoIP in WLANs", ACM/Springer Wireless Networks, vol.20, no.3, pp.457-473, Apr.2014. (IF=1.055) [PDF]
  10. Z. Yuan and G.-M. Muntean, "A Prioritized Adaptive Scheme for Multimedia Services over IEEE 802.11 WLANs", IEEE Transactions on Network and Service Management, vol.10, no.4, pp.340 - 355, Dec 2013. (IF=3.134) [PDF]
  11. Z. Yuan, H. Venkataraman, and G.-M. Muntean, "MBE: Model-Based Available Bandwidth Estimation for IEEE 802.11 Data Communications", IEEE Transactions on Vehicular Technology, vol.61, no.5, pp.2158-2171, Jun 2012. (IF=2.642) [PDF]

Conference

  1. Yujie Zhang and Zhenhui Yuan, "Cloud-based UAV Data Delivery over 4G Network", The Tenth International Conference on Mobile Computing and Ubiquitous Networking (ICMU), Toyama, Japan, 3-5 Oct 2017, pp. 1-2.
  2. Z. Yuan, J. Jin, X. Huang and L. Sun, "Software Defined Mobile Sensor Network for Micro UAV Swarm", IEEE International Conference on Control and Robotics Engineering, Singapore, 2-4 Apr 2016, pp. 1-4. [Best Paper Award]
  3. Y. Han, Z. Yuan and G.-M. Muntean, “Extended No Reference Objective Quality Metric for Stereoscopic 3D Video”, accepted by IEEE International Conference on Communications workshop(IEEE ICC workshop) on Quality of Experience-based Management for Future Internet Applications and Services, London, UK, Jun 2015.
  4. T. Molloy, Z.Yuan and G.-M. Muntean, "Real Time Emulation of an LTE Network Using NS-3," 25th IET Irish Signals & Systems Conference (IET ISSC), Limerick, Ireland, Jun 2014, pp. 251-257. [PDF]
  5. Z. Yuan, G. Ghinea and G.-M. Muntean, "Quality of Experience Study for Multiple Sensorial Media Delivery", IEEE International Wireless Communications and Mobile Computing Conference (IEEE IWCMC), Nicosia, Cyprus, Aug. 2014, pp. 1142-1146. [PDF]
  6. R. Andreucetti, Z. Yuan, S. Chen and G.-M. Muntean, "Smartphone Energy Consumption of Multimedia Services in Heterogeneous Wireless Networks", IEEE International Wireless Communications and Mobile Computing Conference (IEEE IWCMC), Nicosia, Cyprus, Aug 2014, pp.1147-1151. [PDF]
  7. Y. Han, Z. Yuan, G.-M. Muntean, "No reference Objective Quality Metric for Stereoscopic 3D Video", IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (IEEE BMSB), Beijing, China, Jun 2014, pp. 1-6. [Best Paper Award] [PDF]
  8. T. Bi, Z. Yuan, G.-M. Muntean, "Network Reputation-based Stereoscopic 3D Video Delivery in Heterogeneous Networks", IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (IEEE BMSB), Beijing, China, Jun 2014, pp.1-7. [PDF]
  9. Z. Yuan, J. Keeney,S. van der Meer, G.Hogan and Gabriel-Miro Muntean,"Context-aware Heterogeneous Network Performance Analysis: Test-bed Development", IEEE International Conference on Pervasive Computing and Communications workshop (IEEE PerCom workshop), Budapest, Hungary, Mar. 2014, pp.472 - 477. [PDF]
  10. T. Ding, Z. Yuan, S. Chen and G.-M. Muntean, "Smartphone Energy Consumption Models for Multimedia Services using Multipath TCP", IEEE Consumer Communications and Networking Conference (IEEE CCNC), Las Vegas, U.S., Jan 2014, pp.239-244. [PDF]
  11. S. Chen, Z. Yuan, and G.-M. Muntean, "A Traffic Burstiness-based Offload Scheme for Energy Efficiency Deliveries in Heterogeneous Wireless Networks", IEEE Global Communications Conference workshop (IEEE Globecom workshop), Atlanta, U.S., Dec 2013, pp. 538-543. [PDF]
  12. S. Chen, Z. Yuan, and G.-M. Muntean,"An Energy-aware Multipath-TCP-based Content Delivery Scheme in Heterogeneous Wireless Networks", IEEE Wireless Communications and Networking Conference (IEEE WCNC), Shanghai, China, Apr 2013, pp.1291-1296. [PDF]
  13. Z. Yuan, H. Venkataraman, and G.-M. Muntean,"A Novel Bandwidth Estimation Algorithm for IEEE 802.11 TCP Data Transmissions",IEEE Wireless Communications and Networking Conference workshop (IEEE WCNC workshop) on Wireless Vehicular Communications and Networks, Paris, France, Apr 2012, pp.377-382. [PDF]
  14. Z. Yuan, H. Venkataraman, and G.-M. Muntean,"iPAS:An User Perceived Quality-based Intelligent Prioritized Adaptive Scheme for IPTV in Wireless Home Networks", IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (IEEE BMSB), Shanghai, China, Mar 2010, pp.1-6. [PDF]
  15. Z. Yuan, H. Venkataraman, and G.-M. Muntean, "iBE: A Novel Bandwidth Estimation Algorithm for Multimedia Services over IEEE 802.11 Wireless Networks", 12th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services (IFIP/IEEE MMNS), Venice, Italy, Oct 2009, pp. 69-80. [PDF]
  16. Z. Yuan, H. Venkataraman, and G.-M. Muntean,"Necessity for an Intelligent Bandwidth Estimation Technique over Wireless Networks", China-Ireland International Conference on Information and Communication Technologies (IET CIICT), Maynooth, Ireland, Aug 2009. [PDF]

iRoC Group

Founded in 2015, the intelligent Robotics Communications Group (iRoC Group) focuses on research and prototype of the principles and techniques for robots. Based on the Ministry of Education Key Lab of Radio Frequency and Circuit, Dr. Zhenhui Yuan and his research team is shedding light on critical issues of wireless communications subsystem of industrial unmanned aerial vehicles.
杭州电子科技大学机器人通信技术研究组 (iRoC Group) 组建于2015年，专注室外移动机器人在工业物联网的实际应用。 iRoC 研究组聚焦于工业物联网数据采集，传输，分析三个关键环节，研究方向包括超可靠机器人控制数据链，集群机器人组网，人机交互。 代表性项目/产品包括集群机器人通信网关，无人机空中基站，无人机云调度平台等。
欢迎各位优秀硕士研究生报考
研究生课题方向：机器人通信系统（OSI协议栈，仿真，嵌入式系统）
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