Abstract
Location-aware applications, such as indoor robot navigation or human activity monitoring, require the location estimation of moving elements, by using ultrasonic, infrared or radio signals received from sensors deployed in the workplace. These sensors are commonly arranged in regular lattices on the ceiling. However, this configuration is not optimal for location estimation using trilateration techniques, in terms of positioning precision, maximum coverage and minimum singular cases. This paper shows how non-regular optimal sensor deployments, generated with a new meta-heuristic optimization methodology (Diversified Local Search - DLS), outperforms regular lattices for trilateration.
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Roa, J.O., Jiménez, A.R., Seco, F., Prieto, J.C., Ealo, J. (2007). Optimal Placement of Sensors for Trilateration: Regular Lattices vs Meta-heuristic Solutions. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2007. EUROCAST 2007. Lecture Notes in Computer Science, vol 4739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75867-9_98
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DOI: https://doi.org/10.1007/978-3-540-75867-9_98
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