JGIS> Vol.6 No.2, April 2014

RSSI Enhanced Microkernel-Based LBS Design

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ABSTRACT

Geographical 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 achieved.

KEYWORDS


Cite this paper

Xing, T. , Zhang, S. and Zhang, F. (2014) RSSI Enhanced Microkernel-Based LBS Design. Journal of Geographic Information System, 6, 109-114. doi: 10.4236/jgis.2014.62012.

References

[1] Sun, B., Wu, H., Zhao, H. and Hu, X. (2010) Research and Application on Plug-In Technology in OpenSim. Audio Language and Image Processing (ICALIP), International Conference, 23-25 November 2010, 1392-1396.
[2] Wang, M., Nie, Y.M. and Yuan, H. (2011) Research on the Urban Land Use Status and Potential Evaluation Information System Solution Based on OSGI Plug-In—A Case Study of Zhaoyuan, Shandong Province. Advanced Materials Research, 356-360, 2812-2815.
http://dx.doi.org/10.4028/www.scientific.net/AMR.356-360.2812
[3] Levina, O. and Stantchev, V. (2009) A Model and an Implementation Approach for Event-Driven Service Orientation. International Journal on Advances in Software, 2, 288-299.
[4] Wang, J., Jie, M.Y. and Wu, B. (2011) A Schema of Dynamic Capability Updating in BI-PAAS System. Computer Science and Network Technology (ICCSNT), International Conference, 24-26 December 2011, 2556-2560.
[5] Laplante, P., Gold, A. and Costello, T. (2007) Open Source Software: Is It Worth Converting? IT Professional, 9, 28-33.
http://dx.doi.org/10.1109/MITP.2007.72
[6] Sadoun, B. and Al-Bayari, O. (2007) LBS and GIS Technology Combination and Applications. IEEE, 578-583.
[7] Yim, J., Ko, I. and Ko, I. (2008) Implementation of a Prototype Positioning System for LBS on U-Campus. Journal of Universal Computer Science, 14, 2381-2399.
[8] Liu, J.B., Chen, R.Z., Pei, L., Guinness, R. and Kuusniemi, H. (2012) A Hybrid Smartphone Indoor Positioning Solution for Mobile LBS. Sensors, 12, 17208-17233.
http://dx.doi.org/10.3390/s121217208
[9] Chen, F.X., Yang, C.J., Yu, W.Y., Le, X.Q. and Yang, J.Y. (2005) Research on Mobile GIS Based on LBS. IEEE, 901-904.
[10] Wang, C.M., Wang, Z.M. and Zhu, L.Z. (2007) Problems and Methods in the Location-Based Services. Geomatics & Spacial Information Technology, 32, 124-127.

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