Bi-level Sensor Planning Optimization Process with Calls to Costly Sub-processes

Frédéric Dambreville (1, 2)

1 Lab-STICC_ENSTAB_CID_SFIIS
2 Pôle STIC_REMS

While there is a variety of approaches and algorithms for optimizing the mission of a sensor, there are much less works which deal with the implementation of several sensors within a human organization. In this case, the management of the sensors is done through at least one human decision layer, and the sensors management as a whole arises as a bi-level optimization process. The following hypotheses are considered as realistic: Sensor handlers of first level plans their sensors by means of elaborated algorithmic tools based on accurate modelling of the environment; Higher level plans the handled sensors according to a global observation mission and on the basis of an approximated model of the environment and submit its plan to a costly assessment by the first level. This problem is related to the domain of experiment design. A generalization of the Efficient Global Optimization method (Jones, Schonlau and Welch) is proposed, based on a rare event simulation approach.

Mots clés: Sensor management; Efficient Global Optimization; Rare event simulation; Non-Gaussian/non-Linear models; Experiment design

Domaines: Electromagnétisme; Traitement du signal et de l'image [eess.SP]

Frédéric Dambreville. Bi-level Sensor Planning Optimization Process with Calls to Costly Sub-processes . Intelligent Information and Database Systems, Springer, 2014, ⟨10.1007/978-3-319-05458-2_40⟩. ⟨hal-01171073⟩