Location Aggregation from Multiple Sources _Final_.PDF

نویسندگان

  • Jussi Myllymaki
  • Stefan Edlund
چکیده

With a growing trend toward a world where people, computers, vehicles, and other mobile objects are interconnected at all times, it is no surprise that tracking the location of these objects and performing computation on such location data are also attracting interest. The idea of location-based services has captured the imagination of application developers, wireless service providers, and content providers alike. For example, when the location of a given mobile object is known reliably, the provision of location-based information to that object is clearly beneficial and even profitable. However, the location of people, the most interesting mobile object, is tricky to determine because we don’t track persons but rather the devices they carry or the transportation they use. That a person may be associated with numerous tracking devices simultaneously, but perhaps intermittently, makes location tracking challenging. In this paper we describe a methodology for aggregating location data from multiple sources associated with a single mobile object. We describe our existing location service infrastructure and illustrate scenarios where location aggregation is desirable and indeed required. Our experimentation in location-based services uses location data from wireless PDAs, vehicle tracking devices, and mobile and stationary computers.

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تاریخ انتشار 2001