Date of Award


Document Type

Campus Access Dissertation

Degree Name

Doctor of Philosophy (PhD)


Computer Science

First Advisor

Duc A. Tran

Second Advisor

Dan A. Simovici

Third Advisor

Junichi Suzuki


Surveillance sensor networks (SSNs) are increasingly popular in modern society to monitor behaviors of environments and protect people from security threats. Today, with the growing number of sensor devices in physical world, building a cost-effective SSN remains challenging. This dissertation makes three key contributions aimed to improve how we search for desired information in a large-scale SSN with thousands of data sources, maintain the availability of archival data, and localize an incident or track a target. The first contribution is DIBS, which provides a medium for fast and efficient publish/subscribe services. The second, REC, is a low-cost maintenance scheme for erasure-coded archival data. The third, eTrack, is a lightweight localization method that balances the trade-off between accuracy and cost. The dissertation also describes a system prototype for eTrack on a real sensor network testbed and pointers to future research.


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