Map adaptation for users of mobile systems
Proceedings of the 10th international conference on World Wide Web
An investigation of geographic mapping techniques for internet hosts
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Addressing Location Issues in Mobile Commerce
LCN '01 Proceedings of the 26th Annual IEEE Conference on Local Computer Networks
Challenge: ubiquitous location-aware computing and the "place lab" initiative
Proceedings of the 1st ACM international workshop on Wireless mobile applications and services on WLAN hotspots
Accuracy characterization for metropolitan-scale Wi-Fi localization
Proceedings of the 3rd international conference on Mobile systems, applications, and services
Somebody, Sometime, Somewhere, Something
UDM '05 Proceedings of the International Workshop on Ubiquitous Data Management
Localisation intra-bâtiment multi-technologies: RFID, wifi et vision
UbiMob '05 Proceedings of the 2nd French-speaking conference on Mobility and ubiquity computing
Humancentric Applications of Precise Location Based Services
ICEBE '05 Proceedings of the IEEE International Conference on e-Business Engineering
Large-scale localization from wireless signal strength
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
IPv6: the new Internet protocol
IEEE Communications Magazine
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Although research in location-based services (LBS) is advancing well, the problem of obtaining a position for the user is still a major obstacle. Commonly available methods suffer from problems of availability, financial cost, and lack of precision or accuracy. The concept that IP-addresses tend to be spatially clustered which makes them attractive as a means for positioning. IP-based positioning would be applicable to any immobile device or interface, such as a computer or a wireless access point. Although it is believed that LBS equates to mobile computing, in reality the audience among static users in homes and offices may in fact be greater at this point in time. VRILS (varying resolution IP locating system) uses the relationship between network clusters and spatial clusters to provide positions for IP-addresses. It uses different levels of spatial precision to cope with conflicting locations within subnets, which enhances the chance of being able to provide a location. VRILS has been tested on the campus of Curtin University, where the positions of 461 IP-addresses were used in a network of over 20,000 computers. The outcome showed perfect results at the broadest spatial resolution of 'campus', and a reasonable result at the resolution of 'building'. Randomness of IP-addresses across certain buildings was shown to strongly affect the accuracy. In general, it could be seen that with a relatively small amount of data, accurate positions could be obtained, but a lack of spatial clustering would decrease the efficiency to that of simple lookups.