An Adaptive Field Estimation Algorithm for Sensor Networks in Dynamic Environments

The efficiency of distributed sensor networks depends on an optimal trade-off between the usage of resources and data quality. This workshop paper addresses the problem of optimizing this trade-off in self-configured distributed sensor networks. In our case-study example, we investigate a quadtree network topology and describe how we integrate a fully distributed node controller and field estimation algorithm. In a further step, we present a variant control algorithm, which continuously adapts network sampling and node activity to match spatio-temporal field variability. Realistic simulations are performed on the e-puck robot platform, and show that the proposed sampling strategy potentially economizes 20% of resource usage.


Published in:
Workshop on Robotics for Environmental Monitoring
Presented at:
Workshop on Robotics for Environmental Monitoring at the International Conference on Intelligent Robots and Systems, San Francisco
Year:
2011
Keywords:
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 Record created 2011-10-25, last modified 2018-03-17

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