Name
Title | ||
|---|---|---|
Implementation and evaluation of cloud-based integration framework for indoor location. |
Abstract | ||
|---|---|---|
The emerging indoor positioning systems (IPS) enable indoor location-aware applications (InL-App) within indoor space where GPS cannot reach. In most conventional systems, however, IPS and InL-App are tightly coupled, where one system cannot reuse location data or operation of other systems. This fact yields expensive development cost and effort of InL-App. To cope with the problem, this paper propose a cloud-based integration framework, called CIF4InL. With a common data model, CIF4InL integrates indoor location data obtained from heterogeneous IPS. It then provides application-neutral API for various InL-Apps. To evaluate the practical feasibility, we integrate two different IPS (RedPin and BluePin) using CIF4InL, where the applications transparently access the indoor locations gathered by two different IPS. Since CIF4InL allows the loose coupling between IPS and InL-Apps, it significantly improves reusability of indoor location information and operation. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2837185.2837220 | iiWAS |
Field | DocType | Citations |
Data modeling,Loose coupling,Computer science,Reuse,Global Positioning System,Data model,Reusability,Database,Cloud-based integration,Distributed computing,Cloud computing | Conference | 1 |
PageRank | References | Authors |
0.39 | 12 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Long Niu | 1 | 1 | 0.39 |
| Sachio Saiki | 2 | 55 | 24.46 |
| Shinsuke Matsumoto | 3 | 205 | 33.53 |
| Masahide Nakamura | 4 | 526 | 72.51 |