Wireless Sensor Network Laboratory

INTRODUCTION

Wireless Sensor Networks (WSNs) are composed of tiny embedded computers known as 'motes' that are equipped with sensors and low-power radios. These motes self-organize to form networks that are capable of sensing physical phenomena in the real world. WSNs lie at the center of solving 21st century challenges such as healthcare, environmental protection and ensuring continued economic competitiveness. 

The Wireless Sensor Network Laboratory (WSN Lab) at the Department of Computer Science and Software Engineering of Xi'an Jiaotong-Liverpool University (XJTLU) - China focuses on enabling the creation of large scale WSNs that are capable of supporting applications such as industrial process optimization, energy conservation, water management and realizing the vision of the 'smart city'. Specifically, we provide development tools, middleware support and develop cutting-edge demonstrator applications for WSN. 

The WSN Lab has a particular focus on important real world applications. For example, middleware technologies developed by the WSN-Lab have been applied to create pollution and flood monitoring system for the city of Sao Carlos in Brazil. For up-to-date information on our work, check our publication section.


PEOPLE

  • Ka Lok Man, Xi'an Jiaotong-Liverpool University (XJTLU), China
  • Hai-Ning Liang, Xi'an Jiaotong-Liverpool University (XJTLU), China
  • Steven Guan, Xi'an Jiaotong-Liverpool University (XJTLU), China
  • Dawei Liu, Xi'an Jiaotong-Liverpool University (XJTLU), China
  • Chuck Fleming, Xi'an Jiaotong-Liverpool University (XJTLU), China
  • Sheung Hung Poon, Universiti Teknologi Brunei (UTB), Brunei Darussalam
  • Nancy Diniz, CASE, New York City, USA
  • Prudence Wong, University of Liverpool (UoL), UK
  • Danny Hughes, KU Leuven, Belgium
  • Chao Lu, Southern Illinois University Carbondale, USA
  • Qian Huang, Southern Illinois University Carbondale, USA
  • Ting Wang, State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, China
  • Yiu Fai Lam, The Science and Technology University, Hong Kong
  • David Olalekan Afolabi, Xi'an Jiaotong-Liverpool University (Research Assistant - XJTLU), China

 

CURRENT PROJECTS

  1. Wireless Vision Sensors Network of Unmanned Aerial Vehicle for Road Traffic Surveillance
  2. Reflection and Vibration Reduction in Vision Sensors
  3. Visible Light Communication (Li-Fi)
  4. Mobile Wi-Fi Access Point Roaming
  5. Middleware Support for Dynamic Sensing Applications

 

PUBLICATIONS

link 

PARTNERS

 

EMPloyment

Recruitment for Doctorate programme (Ph.D):

  1. System Design, Analysis and Optimization of Li-Fi based energy harvesting embedded systems for Internet of Things applications. PDF
  2. Middleware Support for Dynamic Sensing Applications. PDF
  3. Massively Scalable Sensing-as-a-Service: The Tangible Cloud. PDF

For further details contact ka.man@xjtlu.edu.cn

 

ACKNOWLEDGMENTS

The activities in this research lab are partially supported by the National Natural Science Foundation of China (NFSC), Jiangsu University Natural Science Research Programme, Suzhou Science and Technology Development Plan, XJTLU Research Development Fund (RDF), XJTLU Research Postgraduate Scholarship (PGRS), Baltic Institute of Advanced Technology (BPTI), and Transcend Epoch (Hong Kong).

 

CONTACT

Address: B2-D440-B, Xi'an Jiaotong-Liverpool University (XJTLU), SIP Suzhou, China

Email: ka.man@xjtlu.edu.cn