the election algorithm for semantically meaningful location-awareness
The technology of multimedia content adaptation based upon the location of a target device can become the long expected killer application of ubiquitous computing. Easy to develop, lightweight, and robust location estimation is the core component of this technology. Until now, location estimation technology remains restricted to highly sophisticated hardware and networking infrastructure where semantics of the location information are defined and controlled by service providers. We aim to lower the technical and infrastructure barriers to allow general users to define and develop the semantically meaningful location systems. This paper presents a simple location estimation method to build radio beacon based location systems in the indoor environments. It employs an realtime learning approach which requires zero prior knowledge. The salient features of our method are low memory requirements and simple computations which make it desirable for location-aware multimedia systems functioning in distributed client-server settings as well as privacy sensitive applications residing on stand alone devices.
algorithm semantic location-aware locatability technologies multimedia content adaptability device applications ubiquitous computing robust estimates core component hardware network infrastructure informal barrier general users systems paper method environments learning requirements knowledge feature memorialized multimedia system distributed client-server privacy sensitive positioning