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Abstract: The knowledge of the location of a mobile terminal can be used to reduce the cognitive burden on the users in context--aware systems and it is a crucial information for routing in ad--hoc networks and for optimizing the topology in order to minimize the energy consumption of the nodes. The strengths of the RF signals arriving from more access points are related to the position (location fingerprinting), but the complexity of the inverse problem to derive the position from the signals and... (Update)
Context of citations to this paper: More
.... the position of a device, the intrinsic properties of wireless networks can be used, namely their use of radio signals [1] 2] 3] [4], 5] Propagation of radio signals is complex, and in most real world cases the intensity of a radio signal at a given point can only be...
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BibTeX entry: (Update)
R. Battiti, A. Villani, and T. Le Nhat, "Neural network models for intelligent networks: deriving the location from signal patterns," in Proceedings of AINS2002. http://citeseer.ist.psu.edu/battiti02neural.html More
@misc{ battiti-neural,
author = "R. Battiti and A. Villani and T. Le Nhat",
title = "Neural network models for intelligent networks: deriving the location from
signal patterns",
text = "R. Battiti, A. Villani, and T. Le Nhat, Neural network models for intelligent
networks: deriving the location from signal patterns, in Proceedings of
AINS2002.",
url = "citeseer.ist.psu.edu/battiti02neural.html" }
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