2013
Storage-centric Sensor Networks for Smart Buildings
Boabing Wang and J. S. Baras
Proceedings of the 12th ACM/IEEE Conference on Information Processing in Sensor Networks IPSN 2013
Abstract
In my thesis, I propose a model-based systems design
framework, called WSNDesign, to facilitate the design
and implementation of wireless sensor networks (WSNs).
WSNDesign provides a hierarchy of model libraries to
model various behaviors and structures of WSNs in the
context of Smart Buildings, and introduces a system de-
sign
ow to compose both continuous-time and event-
triggered modules to develop applications with support
for performance evaluation. In order to handle various sensor data eciently, WSNDesign provides a distributed database system, called HybridDB, for data
collection and retrieval. HybridDB enables sensors to
store large-scale datasets in situ on local NAND
ash using a novel resource-aware data storage system, and can
process typical queries inWSNs extremely eciently. In
addition, HybridDB supports incremental -approximate
querying that enables clients to retrieve a just-sucient
set of sensor data by issuing re nement and zoom-in
sub-queries to search events and analyze sensor data efficiently. HybridDB can always return an approximate
dataset with guaranteed L1-norm error bound.
