Paper
Epidemic Biological Data Fusion with Ad-hoc Sensor Networks
- Authors:
- Vikas Kotari; KC Chang
- Abstract
- In today’s world bioterrorism is considered more lethal than nuclear or chemical attacks. It can be a very sophisticated and a catastrophic approach of attack. Consequently, there is a demand for developing a complete C4I model dedicatedly designed for defending bio-attack, which includes, but is not limited to sensing/detection, tracking and fusion, communication, and assessment of bio-threats. In this paper, we propose a methodology and system architecture and evaluate its performance. In addition, we have studied various sensors that would be utilized in this architecture. The accent has been on the use of distributed systems such as ad-hoc networks and on application of epidemic communication algorithms to better manage bio-threat data. However, our primary focus has been placed on distributed data fusion algorithms and understanding the performance characteristics of these algorithms under diverse real time scenarios. We have achieved this through extensive simulations and comparative studies on communication and fusion algorithms with biological sensor data.
- Keywords
- Data Fusion; Ad-hoc Networks; Epidemic Algorithms; Biological Sensors
- StartPage
- 19
- EndPage
- 27
- Doi