We propose a method for localizing sensors based solely on the non-geotagged data that is collected by the sensors themselves. In the proposed method, the localization is performed in two steps. In the first step, proximity relationships among sensors are identified based on the sensor-collected data. In this step, we use the correlation coefficient between the data collected by two sensors as an indicator of the closeness of those sensors. In the second step, the sensors are localized based on identified proximity information by applying a proximity-based localization method [1]. To investigate the effectiveness of the proposed method, we focus on a specific situation in which sensors for detecting target objects are deployed within an observation area. Rather than location data, each sensor transmits an identifier, such as its media access control (MAC) address, when it detects an object nearby. We also report on the results of simulation experiments that demonstrate that the proposed method can estimate sensor locations accurately in the envisioned situation and show that area information, such as the number of target objects, can be obtained based on the estimated locations of sensors responding to those objects.


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    Title :

    Data-Correlation-Based Sensor Localization for Environment Sensing with Non-Geotagged Data


    Contributors:


    Publication date :

    2020-11-01


    Size :

    1537163 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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