NeTS-NOSS: Towards Dynamically Reconfigurable Multimodal Sensing Systems

Portland State University, Portland OR

Investigators

Abstract

This project focuses on the investigation, development, and integration of multi-modal and mobilitybased sensor networking technologies. In particular, future sensor networking technologies will include (i) multi-modal sensing that mixes complex data types such as audio, images or video and (ii) mobilitybased sensing, where parts of the sensor network may be dynamic. The objectives of this proposal include the study of the following topics: Logical Association and Organization Framework: It has been observed that network connectivity via ad hoc routing algorithms does not reflect the physical placement of sensors within the environment. The inclusion of multi-modal sensing and mobility into sensor networking systems requires logical organization ability. This project will focus on develping a multi-layer organization and routing mechanism that supports logical associations, allowing for efficient organization of sensor networks in application meaningful ways. Mobility-based Localization, Organization, and Calibration: Besides actuation capability, mobility opens up new ways of effectively coordinating and organizing the sensor network. This subtask explores the design and implementation of algorithms that exploit user, coordinated and autonomous mobility for robust, mobility-assisted calibration, logical association, and localization. This project will be performed in the context of a flexible and extensible sensor networking framework called Cascades. Cascades is a Python-based framework combining highly optimized applicationspecific code segments, such as video processing or video compression, into a script-based architecture that is readily deployable into a sensor network.