Internet GIS: Distributed Geographic Information Services for the Internet and Wireless Networks
Internet GIS: Distributed Geographic Information Services for the Internet and Wireless Networks
Report from the first workshop on geo sensor networks
ACM SIGMOD Record
An Autonomic Context Management System for Pervasive Computing
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
Locawe: a novel platform for location-aware multimedia services
Proceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia
Proceedings of the 2009 international conference on Pervasive services
Remote navigation of a mobile robot in an RFID-augmented environment
Personal and Ubiquitous Computing
Design science in information systems research
MIS Quarterly
Collecting and visualizing wireless geosensor data using mobile devices
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application
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Geographic information system (GIS) is traditionally used with desktop computers. The development of embedded, wireless, and positioning technologies have opened possibilities to apply GIS in new application areas and conditions. In this research area interoperability issues have been regognized to be one of the main challenges of in situ measurements in geosensor network (GSN) when using low-rate communication. We will present in this paper our first experiences about how to use geosensor network nodes and interoperable communication together with our location-aware system platform called Locawe. In the designed system GSN nodes are supporting IPv6 Packets over IEEE 802.15.4 (6LoWPAN) specification and are integrated with a GPS receiver. In addition in the designed system, GSN nodes can be used with mobile devices based on Open Geospatial Consortium (OGC) SensorML standard and Binary XML best practices specification. As a result interoperable communication was tested successfully with two different kinds of mobile devices. On the other hand results show that better compressions are still needed for more efficient communication in low-rate networks.