Estimating Missing Environmental Information by Contextual Data Cooperation

Davide Guastella (1, 2) , Valérie Camps (2, 3) , Marie-Pierre Gleizes (2)

1 Università degli studi di Palermo - University of Palermo
2 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
3 UT3 - Université Toulouse III - Paul Sabatier

The quality of life of users and energy consumption could be optimized by a complex network of sensors. Nevertheless, smart environments depend on their size, so it is expensive to provide enough sensors at low cost to monitor each part of the environment. We propose a cooperative multi-agent solution to estimate missing environmental information in smart environment when no sensors are available. We evaluated our proposal on a real dataset and compared the results to standard state-of-the-art solutions.

Mots clés: Missing information estimation; Smart city; Cooperative multi-agent systems

Domaines: Système multi-agents [cs.MA]

Davide Guastella, Valérie Camps, Marie-Pierre Gleizes. Estimating Missing Environmental Information by Contextual Data Cooperation. Pacific Rim international Conference on Multi-Agents (PRIMA 2019), Oct 2019, Turin, Italy. pp.523-531, ⟨10.1007/978-3-030-33792-6_37⟩. ⟨hal-02930103⟩