Papers

2

Total Citations

89

H-Index

2

About

Mithun Mukherjee is a leading researcher at the forefront of Industrial Wireless Sensor Networks (IWSNs), Fog/Edge Computing, and the Tactile Internet. His work directly addresses the critical challenges of ultra-reliable, low-latency communication in industrial and cyber-physical systems. Mukherjee’s major contributions include pioneering toxic gas boundary area detection in large-scale petrochemical plants using IWSNs—a high-impact study with 62 citations that demonstrates how sensor networks can enhance safety in hazardous industrial environments. He has also been instrumental in advancing the Tactile Internet, notably through his 2020 work on intelligent computation offloading with Fog/Edge computing (27 citations), which explores the trade-offs and advantages of distributed processing for enabling real-time, skill-based applications like remote surgery and industrial automation. By systematically analyzing the limitations of current architectures, Mukherjee provides a roadmap for achieving the sub-millisecond latency required for haptic feedback and closed-loop control. His research bridges the gap between theoretical network models and practical, safety-critical deployments, making him a key figure in shaping the future of intelligent, responsive industrial ecosystems.

Research Focus

Key Achievements

2
H-Index
2
Papers
89
Total Citations
45
Avg Citations/Paper
🏆 Most Cited Paper
Toxic gas boundary area detection in large-scale petrochemical plants with industrial wireless sensor networks
62 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Guangdong University of Petrochemical Technology, Nanjing University of Information Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago