Information System (GIS) always plays an integral role in LBS systems. But it
comes with technology problems, such as less flexible, low efficiency, no
redundancy of existing geographic information of application configuration
which has high entry cost. At same time, indoors positioning is attracting more
and more attention from research domain where GPS-like systems do not work. By
RSSI location fingerprint data that sampling from the actual WSN environment,
this article analyzed RF signal propagation characteristics in indoor from the
point of view of the indoor positioning, and analyzed some factors that may
affect the positioning error, which provided a theoretical basis for the
positioning algorithm design and positioning system deployment. The aim of this
paper is also to present a lightweight, efficient and scalable microkernel
plug-in geospatial information application system and its implementation method
for GIS in LBS design and practice. In this paper a software model called
Resource loading manager (RLM) is designed. Through the RLM efficient
allocation of geographic information resources and security management could be
Cite this paper
Xing, T. , Zhang, S. and Zhang, F. (2014) RSSI Enhanced Microkernel-Based LBS Design. Journal of Geographic Information System
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