Prototype for indoor localization based on MultiAgent System

Location is one of the most relevant contextual variables in the design of context-aware computing systems. These systems need to know the user's physical location in order to provide relevant information according to it. This paper presents a prototype for indoor localization based on MultiAgent System approach. Moreover, a simulation to locate a moving user agent is carried out in this work, in order to validate the developed prototype.

[1]  Seng Wai Loke,et al.  Context-aware pervasive systems - architectures for a new breed of applications , 2019 .

[2]  Noriaki Izumi,et al.  Location-aware middle agents in pervasive computing , 2006, Int. J. Pervasive Comput. Commun..

[3]  I. S. Torsun.  Foundations of intelligent knowledge-based systems , 1995 .

[4]  Luís A. Castro,et al.  Continuous tracking of user location in WLANs using recurrent neural networks , 2005, Sixth Mexican International Conference on Computer Science (ENC'05).

[5]  Andy Hopper,et al.  The active badge location system , 1992, TOIS.

[6]  Tuan A. Nguyen,et al.  Multiagent Place-Based Virtual Communities for Pervasive Computing , 2008, 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom).

[7]  Danny Weyns,et al.  A Formal Model for Situated Multi-Agent Systems , 2004, Fundam. Informaticae.

[8]  NICHOLAS R. JENNINGS,et al.  An agent-based approach for building complex software systems , 2001, CACM.

[9]  Gregory D. Abowd,et al.  Charting past, present, and future research in ubiquitous computing , 2000, TCHI.

[10]  Gregory D. Abowd,et al.  The smart floor: a mechanism for natural user identification and tracking , 2000, CHI Extended Abstracts.

[11]  Anind K. Dey,et al.  Understanding and Using Context , 2001, Personal and Ubiquitous Computing.

[12]  R JenningsNicholas,et al.  Developing multiagent systems , 2003 .

[13]  Barbara Messing,et al.  An Introduction to MultiAgent Systems , 2002, Künstliche Intell..