Publication

An Adaptive Field Estimation Algorithm for Sensor Networks in Dynamic Environments

Abstract

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.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.