Optimizing pervasive sensor data acquisition utilizing missing values substitution
Data
2010Soggetto
Abstract
Acquisition of pervasive sensor data can be often unsuccessful due to power outage at nodes, time synchronization issues, interference, network transmission failures or sensor hardware issues. Such failures can lead to inadequate data delivery to the monitoring applications resulting in erroneous conclusions. This paper presents a missing values substitution framework that addresses the aforementioned issue. The presented framework has been evaluated within a pervasive sensor monitoring environment that collects and transmits patient health related data and results have been presented. Copyright © 2010 ACM.
Collections
Related items
Showing items related by title, author, creator and subject.
-
Measurement aggregation and routing techniques for energy-efficient estimation in wireless sensor networks
(2010)Wireless sensor networks are fundamentally different from other wireless networks due to energy constraints and spatial correlation among sensor measurements. Mechanisms that efficiently compress and transport sensor data ... -
System Support for the in Situ Testing of Wireless Sensor Networks via Programmable Virtual Onboard Sensors
(2016)Wireless sensor networks (WSNs) can be extensively tested before they are deployed in the field. However, it is equally important to test a WSN after it has been deployed, to verify that it will work as expected in certain ... -
Topology optimization in wireless sensor networks for precision agriculture applications
(2007)In this paper a new way to build a wireless sensor network is proposed, which is based on measuring the field's electrical conductivity, staying away from the classic network grid implementation. Furthermore it is explained ...