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We propose a novel range-free localization algorithm for wireless sensor networks that is robust against the anisotropic signal attenuation induced by fading, shadowing, interference, etc., present in any wireless channel, and hereby, develop a new distance estimation (DE) approach able to efficiently derive distances’ estimates in closed form. Exploiting artificial neural networks, we also develop...
In wireless fading channels, the path-loss exponent (PLE) is one of the most fundamental parameters to characterize the channel propagation. It has an important impact on the received signal strength (RSS)-based localization in wireless sensor networks (WSN). On the other hand, the communication range of a sensor in a WSN depends on the transmission power and on the environment (outdoor or indoor)...
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