Multi-Agent Based Adaptive Sensing and Control for Distributed Systems

The objective of this project is to explore some novel ideas on adaptive sensing and monitoring in wireless sensor networks. The focus will be on formulating monitoring methodology inspired by the natural immune system and agent technology, which could potentially lead to adaptive sensing and monitoring. To mimic adaptive immune response, mathematical models will be investigated to study the collaboration of immune cells and provide guideline for the design of such mechanisms in wireless monitoring networks. The project will look for an agent-based network framework to enable immune-inspired adaptive, self-organizing, and autonomous anomaly detection. Multi-objective optimization algorithms will be studied for the robust control of agent generation and distribution to enhance system responsiveness, anomaly detection probability, and network lifetime. Immune-network-theory-based algorithms will also be investigated for the unsupervised anomaly detection.


The research is being conducted in several ways which will finally serve the goal of this project. The research and investigation ongoing include:

  • Mimic Adaptive Immune Monitoring Using Agent Technology;
  • Multi-Objective Optimization of Agent Control;
  • Emergent Pattern Recognition Using Immune Network Theory;
  • Exploration of Time Series Data Representation and Similarity Measures for Real Life Structural Damage Pattern Recognition;


Journal Papers

  1. Wenjia Liu, Bo Chen and R. Andrew Swartz, "Investigation of Time Series Representations and Similarity Measures for Structural Damage Pattern Recognition", The Scientific World Journal, Volume 2013 (2013), Article ID 248349.
  2. Yang Li, Pushkar Agashe, Zicheng Ge, and Bo Chen, "Rapid Prototyping Energy Management System for a Single Shaft Parallel Hybrid Electric Vehicle Using Hardware-in-the-Loop Simulation", SAE International Journal of Alternative Powertrains, vol. 2, no, 2, pp. 241-251, 2013.
  3. Lei Feng, Wenjia Liu, and Bo Chen, "Driving Pattern Recognition for Adaptive Hybrid Vehicle Control," SAE International Journal of Alternative Powertrains, vol. 1, no, 1, pp. 169-179, 2012.
  4. Bo Chen and Wenjia Liu, "A Web-Based Structural Health Monitoring Sensor Network," International Journal of Computer Applications in Technology, vol. 44, no. 2, 2012.
  5. Bo Chen and Wenjia Liu, "A High Computational Power Wireless Sensor Network for Distributed Structural Health Monitoring," International Journal of Sensor Networks, vol. 11, no. 3, pp. 137-147, 2012.
  6. Wenjia Liu and Bo Chen, "Optimal Control of Mobile Monitoring Agents in Immune-Inspired Wireless Monitoring Networks," Journal of Network and Computer Applications, vol. 34, no. 6, pp. 1818-1826, November 2011.
  7. Bo Chen and Chuanzhi Zang, "Emergent Damage Pattern Recognition Using Immune Network Theory," Smart Structures and System, vol. 8, no. 1, pp. 69-92, July 2011.

Conference Proceedings

  1. Lei Feng and Bo Chen, "Study the impact of driver's behavior on the energy efficiency of hybrid electric vehicles," 2013 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA2013), Portland, OR, August 4-7, 2013.
  2. Bo Chen, Wei Luo, Pushkar Agashe, Lei Feng, Zicheng Ge, and Yang Li, "Development of Model-Based Embedded Control Course Curriculum for Next Generation of Automotive Engineers," 2013 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA2013), Portland, OR, August 4-7, 2013.
  3. Poowanart Poramapojana and Bo Chen, "Model Predictive Control for Hybrid Electric Vehicle Energy Management," The 2012 International Conference on Advanced Vehicle Technologies and Integration (VTI 2012), July 16-19, 2012, Changchun, China.
  4. Powanart Poramapojana and Bo Chen, "Minimizing HEV Fuel Consumption Using Model Predictive Control," Best Student Paper at 2012 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA12), July 8-10, 2012, Suzhou, China.
  5. Wenjia Liu and Bo Chen, "Bio-inspired Computing Algorithms for Adaptive Structural Health Monitoring," The 8th International Workshop on Structural Health Monitoring, Stanford, CA USA, September 13-15, 2011.
  6. Wenjia Liu, Bo Chen, R. Andrew Swartz, "Comparison study of feature extraction methods in structural damage pattern recognition," Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, San Diego, California, March 6-10, 2011.