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With Received Signal Strength (RSS) based indoor localization gaining popularity, recent research work has explored many different aspects of such localization systems, for instance, accuracy and deployment cost. In this paper, we study the computational cost of a ratio-based localization algorithm. Specifically, we use the algorithm's inherent distance ratio relationship to refine the physical region...
Wireless localization using the received signal strength (RSS) can have tremendous savings over using specialized positioning infrastructures. In this work, we explore improving RSS localization performance in multipath environments by varying the transmitter's signal power and frequency. Using a theoretical analysis, we first show how selection of different signal powers and frequencies can improve...
In this work, we propose a general principle for designing RSS-based algorithms so that they are robust to all-around signal strength attacks. Specifically, when the fingerprint for the mobile device changes from <; S<;sub>1<;/sub>, S<;sub>2<;/sub>,..., S<;sub>n<;/sub> > to <; S<;sub>1<;/sub> - S<;sub>t<;/sub>, S<;sub>2<;/sub>...
Wireless signal propagation in indoor environments is generally affected by various factors such as multi-path fading, temperature and humidity. It is thus challenging to use the simple metric of Received Signal Strength (RSS) for indoor localization. Prior work often requires manual profiling of each indoor environment to achieve good accuracy. We, instead, propose a simple generic localization algorithm...
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