Guohong Cao

Pennsylvania State University

Papers

3

Total Citations

33

H-Index

3

About

Guohong Cao is a leading researcher in mobile and pervasive computing, with key contributions in wireless sensor networks, RFID-based data collection, and mobile sensing systems. His work addresses critical challenges in coverage, mobility, and real-time inventory management. Cao’s most cited paper, “Sensor Relocation with Mobile Sensors: Design, Implementation, and Evaluation” (2007, 22 citations), introduces a pioneering mobile sensor prototype that integrates Mica2 sensor nodes with COTS robotic platforms, enabling dynamic movement to optimize sensing coverage—a foundational contribution to autonomous sensor deployment. In “Data Collection Using RFID and a Mobile Reader” (2008, 8 citations), he tackles real-time inventory querying in large warehouses by combining powered wireless technologies with RFID, advancing practical inventory control. His demo paper (2007, 3 citations) further validates the mobile sensor concept, showcasing its feasibility in real-world environments. With a focus on bridging theory and implementation, Cao’s research has influenced both academic and industrial applications, particularly in smart environments and logistics. His work demonstrates a consistent impact on scalable, mobile solutions for data collection and coverage, earning recognition as a key figure in mobile sensor networks and pervasive computing.

Research Focus

Key Achievements

3
H-Index
3
Papers
33
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Sensor Relocation with Mobile Sensors: Design, Implementation, and Evaluation
22 citations · 2007
📈 Most Prolific Year: 2007 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Pennsylvania State University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago