The node location technology is the key technology of Internet of Thing(IOT). Location Identification based on Dynamic Active radio frequency identification Calibration(LANDMARC) is an algorithm to locate the object based on the radio frequency identification technology. The beacon nodes contained in the LANDMARC network reduce costs effectively and improve the positioning accuracy. However, the limited node positioning range of it and the positioning errors caused prevent it from large-scale application. In this paper, it is found that using improved BP neural network algorithm to optimize the traditional LANDMARC algorithm can expand the effective range of the node-positioning, reduce costs and improve the node positioning accuracy. Meanwhile a way to promote the network’s robustness is also proposed here.


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    Title :

    Study on Improved LANDMARC Node Localization Algorithm


    Additional title:

    Adv.Intel.,Soft Computing


    Contributors:
    Xie, Anne (editor) / Huang, Xiong (editor) / Jiang, Tao (author) / Huang, Yourui (author) / Wang, Yanlin (author)


    Publication date :

    2012-01-01


    Size :

    7 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English






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