Cooperative information augmentation in a geosensor network

authored by: Malte Jan Schulze, Claus Brenner, Monika Sester
Abstract: This paper presents a concept for the collaborative distributed acquisition and refinement of geo-related information. The underlying idea is to start with a massive amount of moving sensors which can observe and measure a spatial phenomenon with an unknown, possibly low accuracy. Linking these measurements with a limited number of measuring units with higher order accuracy leads to an information and quality augmentation in the mass sensor data. This is achieved by distributed information integration and processing in a local communication range. The approach will be demonstrated with the example where cars measure rainfall indirectly by the wiper frequencies. The a priori unknown relationship between wiper frequency and rainfall is incrementally determined and refined in the sensor network. For this, neighboring information of both stationary rain gauges of higher accuracy and neighboring cars with their associated measurement accuracy are integrated. In this way, the quality of the measurement units can be enhanced. In the paper the concept for the approach is presented, together with first experiments in a simulation environment. Each sensor is described as an individual agent with certain processing and communication possibilities. The movement of cars is based on given traffic models. Experiments with respect to the dependency of car density, station density and achievable accuracies are presented. Finally, extensions of this approach to other applications are outlined.
Organisation(s): Institute of Cartography and Geoinformatics
Type: Conference article
Journal: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume: 38
Pages: 444-449
No. of pages: 6
ISSN: 1682-1750
Publication date: 2010
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Information Systems, Geography, Planning and Development

BibTeX

@article{77035de5884447bd94c56cb61ece3ff7,
title = "Cooperative information augmentation in a geosensor network",
abstract = "This paper presents a concept for the collaborative distributed acquisition and refinement of geo-related information. The underlying idea is to start with a massive amount of moving sensors which can observe and measure a spatial phenomenon with an unknown, possibly low accuracy. Linking these measurements with a limited number of measuring units with higher order accuracy leads to an information and quality augmentation in the mass sensor data. This is achieved by distributed information integration and processing in a local communication range. The approach will be demonstrated with the example where cars measure rainfall indirectly by the wiper frequencies. The a priori unknown relationship between wiper frequency and rainfall is incrementally determined and refined in the sensor network. For this, neighboring information of both stationary rain gauges of higher accuracy and neighboring cars with their associated measurement accuracy are integrated. In this way, the quality of the measurement units can be enhanced. In the paper the concept for the approach is presented, together with first experiments in a simulation environment. Each sensor is described as an individual agent with certain processing and communication possibilities. The movement of cars is based on given traffic models. Experiments with respect to the dependency of car density, station density and achievable accuracies are presented. Finally, extensions of this approach to other applications are outlined.",
keywords = "Cooperation, Data acquisition, Distributed processing, Geosensor network, Mapping quality, Meteorology, Mobile, Simulation environment",
author = "Schulze, {Malte Jan} and Claus Brenner and Monika Sester",
year = "2010",
language = "English",
volume = "38",
pages = "444--449",
journal = "International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives",
issn = "1682-1750",
publisher = "International Society for Photogrammetry and Remote Sensing",
note = "Joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science ; Conference date: 26-05-2010 Through 28-05-2010",
}