-Recent advances in technology make it possible to better monitor an environment making use of small autonomous sensor nodes, which together create a wireless sensor network. Wireless sensor networks differ from traditional networks because the sensor nodes are limited in power, processing and communication capabilities. As a result, a sensor node has to optimize its activities, and energy efficient methods are needed to sense an environment for a long time with the resolution required. In this study, we will investigate energy efficient methods based on information sharing and cooperation between the sensor nodes: organisation of sleep/wake cycles, query strategies and routing of sensor data, taking into account compression and data aggregation techniques, seen from a user's point of view, a user who puts QoS requirements and who can trade off resolution for energy savings and prolongation of the network's autonomous lifetime. Through simulation models that truthfully register energy consumption, this project will effectuate a comparative study of an optimised bottom-up and top-down data collection and a data collection based on distributed source coding. For the optimisation, AI techniques will be adpoted. This study will result in guidelines for the optimisation of collection/routing techniques in function of the measured phenomena, the extension and the topology of the network and the reliability of the wireless links.
|Effective start/end date||1/10/03 → 1/10/07|
Flemish discipline codes
- Biological sciences