NeTS-NOSS: Towards Dynamically Reconfigurable Multimodal Sensing Systems

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This project focuses on the investigation, development, and integration of multi-modal and mobilitybasedsensor 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) mobilitybasedsensing, where parts of the sensor network may be dynamic. The objectives of this proposalinclude the study of the following topics:Logical Association and Organization Framework: It has been observed that network connectivity via adhoc routing algorithms does not reflect the physical placement of sensors within the environment. Theinclusion of multi-modal sensing and mobility into sensor networking systems requires logicalorganization ability. This project will focus on develping a multi-layer organization and routingmechanism that supports logical associations, allowing for efficient organization of sensor networks inapplication meaningful ways.Mobility-based Localization, Organization, and Calibration: Besides actuation capability, mobility opensup new ways of effectively coordinating and organizing the sensor network. This subtask explores thedesign and implementation of algorithms that exploit user, coordinated and autonomous mobility forrobust, mobility-assisted calibration, logical association, and localization.This project will be performed in the context of a flexible and extensible sensor networking frameworkcalled Cascades. Cascades is a Python-based framework combining highly optimized applicationspecificcode segments, such as video processing or video compression, into a script-based architecturethat is readily deployable into a sensor network.