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  • Zhang, Aiguo  (2)
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  • 1
    Online Resource
    Online Resource
    Nine Tiles Model Construction and Cache of CGML in Mobile
    Hindawi Limited ; 2015
    In:  Journal of Sensors Vol. 2015 ( 2015), p. 1-5
    Details
    In: Journal of Sensors, Hindawi Limited, Vol. 2015 ( 2015), p. 1-5
    Abstract: Document management is a usual way to organize spatial data in mobile terminals. And the compressed CGML spatial data has been widely used in location based services. Referring to the thoughts of map set in cartography, nine closely connected and equal sized rectangles are used as the scope for requesting mobile map data, and these nine closely connected rectangles are built to be nine tiles model. Therefore, in view of the method of block requesting and storing on mobile spatial data following nine tiles model, as well as the large quantity of mobile spatial data and its complex geometry relation, this paper puts forward the construction mechanism of nine tiles model and cache organization of CGML spatial data in mobile terminals that abide by nine tiles model. This way of organization and management of mobile spatial data is good to increase the efficiency of heavy spatial data accessing in the low band and reliability of wireless network environment.
    Type of Medium: Online Resource
    ISSN: 1687-725X , 1687-7268
    URL: Article
    DOI: 10.1155/2015/867580
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2015
    detail.hit.zdb_id: 2397931-8
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Wireless Localization Based on RSSI Fingerprint Feature Vector
    SAGE Publications ; 2015
    In:  International Journal of Distributed Sensor Networks Vol. 11, No. 11 ( 2015-11-01), p. 528747-
    Details
    In: International Journal of Distributed Sensor Networks, SAGE Publications, Vol. 11, No. 11 ( 2015-11-01), p. 528747-
    Abstract: RSSI wireless signal is a reference information that is widely used in indoor positioning. However, due to the wireless multipath influence, the value of the received RSSI will have large fluctuations and cause large distance error when RSSI is fitted to distance. But experimental data showed that, being affected by the combined factors of the environment, the received RSSI feature vector which is formed by lots of RSSI values from different APs is a certain stability. Therefore, the paper proposed RSSI-based fingerprint feature vector algorithm which divides location area into grids, and mobile devices are localized through the similarity matching between the real-time RSSI feature vector and RSSI fingerprint database feature vectors. Test shows that the algorithm can achieve positioning accuracy up to 2–4 meters in a typical indoor environment.
    Type of Medium: Online Resource
    ISSN: 1550-1477 , 1550-1477
    URL: Article
    DOI: 10.1155/2015/528747
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2015
    detail.hit.zdb_id: 2192922-1
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    Online Resource
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