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NOTE:The Center for Mobile Computing is now dormant, and this web site represents a historical view of its activities from 1996-2008. Although there is still mobile-computing research underway at Dartmouth, we no longer update the web site on a regular basis. Please contact Professor David Kotz with any inquiries about the CMC.

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CMC Projects

This page lists current CMC Projects. The dates associated with each project indicate when the project description was written, and where possible, we provide links to people or pages that have more recent information.

See the Old Projects page for a list of previous CMC projects.

Data Assurance in Medical Sensor Applications

We expect that wearable, portable, and even embeddable medical sensors will enable long-term continuous medical monitoring for many purposes, such as patients with chronic medical conditions (such as the recently announced blood-sugar sensors for diabetics), people seeking to change behavior (e.g., losing weight, or quitting smoking), or athletes wishing to monitor their condition and performance. The resulting data may be used directly by the person, or shared with others: with a physician for treatment, with an insurance company for coverage, or by a trainer or coach. Such systems have huge potential benefit to the quality of healthcare and quality of life for many people.

Since the sensor data may be gathered through a patient's mobile device (such as a mobile phone), a wireless network, and the Internet, there are many opportunities for the sensor data to be tampered or otherwise inaccurate. How can we assess confidence in sensor data? How can we present that level of confidence, in context, with the sensor data? This project will develop methods to assess confidence in medical sensor data.

Funded by the Intel University Research Council.

MetroSense: scalable secure sensor systems
September, 2006

Sensor networks will provide a foundation to protect and monitor our national infrastructure, including economically important businesses with global reach (e.g., stock markets), critical transport and industrial facilities, the enterprise, and the border. These tiny, low-cost wireless devices embed on-board sensing, are fully programmable, and can spontaneously form large sensor webs with thousands of distributed sensor devices. In this project, we will study, analyze, propose, deploy, and evaluate MetroSense, a radically different scalable secure sensor architecture and system capable of reliable real-time monitoring and data fusion for large-scale critical infrastructure, resources, and assets. MetroSense opportunistically leverages mobile sensors when available to deal with sparse coverage and communications when sensing. We plan to develop a campus-area sensing architecture based on three integrated components (sensing and communications, sensor security, and sensor fusion) and deploy the system incrementally across campus with the goal of using static and mobile sensors for reliable monitoring and data fusion of campus plant, spaces, and people flow. Results from this project will serve as a foundation for building secure sensor networks capable of monitoring large-scale critical infrastructure.

CRAWDAD: a Community Resource for Archiving Wireless Data at Dartmouth.
July, 2005

As a community resource, the CMC is building an archive with the capacity to store wireless trace data from many contributing locations, with the staff to develop better tools for collecting, anonymizing, and analyzing the data. This Community Resource for Archiving Wireless Data At Dartmouth, CRAWDAD, will work with community leaders to ensure that the archive meets the needs of the research community, work with the other leading centers that develop network tracing tools and metadata, and work with research organizations and corporations to ensure continuing support for the archive after NSF's funding ends.


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