Development of information fusion model for layered sensing systems using computing with words

A layered sensing system involves different layers of sensors with different capabilities in one integrated system. This research focuses on the development of a model for information fusion level of a layered sensing system using computing with words. In this research effort, we have proposed the addition of a new processing level to the Joint Directors of Laboratories (JDL) Fusion Model. The new processing level was called “Information Assessment and Control (IAC)”. In this level, the different layers of a layered sensing system evaluates information about an evolving situation in terms of threat level. The information assessment and control level can exchange processed information among the layers of a layered sensing system in order to determine the overall situation threat level. The situation threat level assessment was carried out by using Computing With Words (CWW) methodology. Using this methodology, we have added a human-like cognitive element to the process of information assessment to accomplish better situation awareness. The developed system was implemented on a layer sensing system using ATR-TSU test-bed, which consists of an UAV, several cameras mounted on a building, and UGVs. Matlab and Software Development Kit were used for image processing and control of the sensors. The software development for the camera layer has been completed and tested on a security situation scenario. The testing results are reported in this paper.