Cross-system Optimization of Data-stream Queries (BATS-TP3)
Third Party Funds Group - Sub project
Acronym: BATS-TP3
Start date : 01.08.2012
End date : 31.12.2018
Website: http://www.for-bats.de/
Overall project details
Overall project
FOR 1508: Dynamisch adaptierbare Anwendungen zur Fledermausortung mittels eingebetteter kommunizierender Sensorsysteme
Overall project speaker:
Project details
Short description
Short description
Animal observation can be improved significantly with the help of modern technology. Especially in the case of bats this has been quite difficult in the past, because they are active only at night, and they must not carry a transmitter heavier than 10% of their own body weight. The progress of micro electronics has made it possible to build complete computers that fulfill these requirements. They do not just send beacons, but data. The ground station receives these data and evaluates them. That begins with the position of the bat, continues with meetings with other bats (of particular interest: mother and child), and ends with body temperature, pulse, and other biosensors. The data are collected and evaluated as a whole. Unfortunately, they are rather imprecise and also flawed. So it is a substantial issue to clean them first. The far-end goal of the project is to capture only data actually needed for the evaluations given, thus saving energy and allowing to observer the bats even longer.
Scientific Abstract
In resource-limited sensor networks an efficient data collection is particularly important. For that, a distributed data-stream system is used, which has a query language that con activate and control the following four components: The first is a central data management, which is created together with the sub-project 4 on network management and which can hide the heterogeneity of the sensor network. The mobile and ground-based sensor nodes can have varying software and energy states. Because of the resource limitations, the applications are distributed across several nodes. The second component is an abstract model of the evaluation (a query), which is easy to create and still leaves lots of room for the implementation. The query is model-based and thus can be transformed in many ways and can be executed efficiently. The third component is a cost model for a quantitative assessment of datastream queries, e.g. with respect to energy efficiency. Different optimization goals can be imagined here, for instance referring to the accuracy of flight trajectories. And the fourth component finally consists of newly developed special operators and a description of the required accuracy, which allow for an advanced optimization to extend battery lifetime.
