An emerging class of sensor networks focuses on reliable
collection of high-resolution signals from across the network.
In these applications, the system is capable of acquiring much more
data than can be delivered to the base station,
due to severe limits on radio bandwidth and energy.
Moreover, these systems are unable
to take advantage of conventional approaches to in-network data
aggregation, given the high data rates and need for raw signals.
These systems face an important challenge: how to
maximize the overall value of the data collected by the
sensor network, subject to resource constraints.
We are developing Lance, a general approach to
bandwidth and energy management for reliable data collection in wireless
sensor networks. Lance couples the use of optimized, data-driven
reliable data collection with a model of energy cost for extracting
data from the network. Lance's design decouples these resource allocation
mechanisms from application-specific policies, enabling flexible
customization of the system's optimization metrics.
The following talk provides an overview of the system:
This page will be updated soon with more details!