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A Survey on Indoor Positioning Systems: Foreseeing a Quality Design

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Distributed Computing and Artificial Intelligence

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 79))

Abstract

The plethora of current positioning technologies, each one with very different features, together with the variety of environments wherein they are to be implanted, force system architects to thoroughly consider the choice for one of them in an isolated way, without combinining several options. Additionally, what makes a technology very appropriate in a certain constraints, may be the result of failing to fulfill others. Thus, trade-off solutions are usually to be made. In this paper, we provide a survey on different positioning techniques in relation to the satisfaction of certain non-functional requirements such as accuracy, responsiveness, complexity, scalability, etc, so that it can serve as guide to system designers in their ultimate decisions. The survey serves as an analysis and intends to highlight the need to undertake a new design capable of adapting this kind of distributed systems to specific characteristics of those technologies and environments; this objective could be achieved on the basis of a design considering non-functional such as requirements.

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Ruiz-López, T., Garrido, J.L., Benghazi, K., Chung, L. (2010). A Survey on Indoor Positioning Systems: Foreseeing a Quality Design. In: de Leon F. de Carvalho, A.P., Rodríguez-González, S., De Paz Santana, J.F., Rodríguez, J.M.C. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14883-5_48

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  • DOI: https://doi.org/10.1007/978-3-642-14883-5_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14882-8

  • Online ISBN: 978-3-642-14883-5

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