Annual Report 2008.pdf - SAMSI

in terrestrial ecosystem investigations, meteorological, solar radiation, gas analysis, and high
resolution actuated imaging systems are required in many installations. Water resource
applications also contribute demands for high precision water quality, flow, and other sensors.
Together, these present requirements for on-demand or continuous high electronic power
dissipation along with high performance computing and broadband data transport. We present
systems that meet these demands while ensuring optimal use of available energy for those
systems that must operate without infrastructure power resources.
Second, requirements for sustainable operation have been developed through recent field
experience in deployment of sensor networks in a range of applications from investigation of
solar radiation and meteorological phenomena distribution at rainforest ecotones, to spatiallyresolved
thermal properties of alpine plant communities, and to chemical, biological, and flow
phenomena in complex lake and river systems. These results demonstrate the fundamental
importance for optimizing sensor node spatial distribution of sensor nodes. Further, in many of
the most important applications, it has also been demonstrated that methods for sensor actuation
are required in order to establish a practical level of sampling density to achieve required
minimum accuracy and resolution. Finally, systematic approaches are also required for
deployment design and sensor actuation that properly optimize sensor deployment with reference
to both predictive models and in-field results.
This presentation will describe the new Sensor Kit platform that combines the capabilities
discussed above and leverages robust, commercially available hardware and well-supported open
source software systems that include user training. Sensor Kit integrates sensing, networking,
and data transport with sensor database archiving and data access systems System deployments
in rainforest, temperate forest, and water resource monitoring applications will be presented.
Also, the current development of a new rainforest field station observatory based on the Sensor
Kit will be discussed. Finally, the approach for acquiring and adapting Sensor Kit systems to
individual program needs will also be described.
Soumen Lahiri
Texas A & M University
snlahiri@stat.tamu.edu
“On Optimal Configuration of the LEACH”
Wireless micro sensors are resource constrained and must use their energy efficiently to ensure a
longer life of the network. In this talk we consider the performance of a self-organizing,
distributed clustering protocol for wireless sensor networks, proposed in a seminal paper by
Heinzelman et al. (2002: IEEE Transactions on Wireless Communications). We derive an
asymptotic formula for the optimal number of cluster heads for efficient energy consumption,
under different spatial statistical asymptotic structures. We also consider finite sample properties
of asymptotic approximation using a simulation study. Further, we also consider joint
optimization of the energy consumption and information loss for the protocol.
Kiona Ogle
University of Wyoming