Knowledge-based multi-criteria optimization to support indoor positioning (original) (raw)
References
Baral, C.: Knowledge Representation, Reasoning and Declarative Problem Solving. Cambridge University Press (2003) BookMATH Google Scholar
Broxton, M., Lifton, J., Paradiso, J.A.: Localization on the pushpin computing sensor network using spectral graph drawing and mesh relaxation. SIGMOBILE MC2R 10, 1–12 (2006) Article Google Scholar
Gebser, M., Kaminski, R., Kaufmann, B., Ostrowski, M., Schaub, T., Thiele, S.: Gringo 2.0 user’s manual. http://potassco.sourceforge.net (2010)
Gebser, M., Kaminski, R., Kaufmann, B., Ostrowski, M., Schaub, T., Thiele, S.: Engineering an incremental ASP solver. In: Garcia de la Banda, M., Pontelli, E. (eds.) Proceedings of the Twenty-fourth International Conference on Logic Programming (ICLP’08). LNCS, vol. 5366, pp. 190–205. Springer (2008)
Gebser, M., Kaufmann, B., Neumann, A., Schaub, T.: clasp: a conflict-driven answer set solver. In: Ninth International Conference on Logic Programming and Nonmonotonic Reasoning, pp. 260–265. Springer (2007)
Gebser, M., Schaub, T., Thiele, S.: Gringo: a new grounder for answer set programming. In: LPNMR, pp. 266–271 (2007)
Hedetniemi, S.M., Hedetniemi, S.T., Liestman, A.L.: A survey of gossiping and broadcasting in communication networks. NETWORKS 18, 319–349 (1988) ArticleMathSciNetMATH Google Scholar
Kalman, R.E.: A new approach to linear filtering and prediction problems. ASME 82, 35–45 (1960) Google Scholar
Merico, D.: Tracking with high-density, large-scale wireless sensor networks. Ph.D. thesis, University of Milano-Bicocca, Dottorato di ricerca in INFORMATICA, p. 22 (2010-02-03). http://hdl.handle.net/10281/7785
Nakamura, E.F., Loureiro, A.A.F., Frery, A.C.: Information fusion for wireless sensor networks: methods, models, and classifications. ACM Comput. Surv. 39(3), 9 (2007) Article Google Scholar
North, M.J., Macal, C.M.: Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation. Oxford University Press, Inc., New York (2007) Google Scholar
Patwari, N., Ash, J., Kyperountas, S., Hero A.O., I., Moses, R., Correal, N.: Locating the nodes: cooperative localization in Wireless Sensor Networks. IEEE Signal Process. Mag. 22(4), 54–69 (2005) Article Google Scholar
Perkins, C.E., Royer, E.M.: Ad-hoc on-demand distance vector routing. In: Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications, WMCSA ’99, pp. 90–100. IEEE Computer Society, Washington (1999). http://portal.acm.org/citation.cfm?id=520551.837511 Chapter Google Scholar
Ristic, B., Arulampalam, S., Gordon, N.: Beyond the Kalman Filter: Particle Filters for Tracking Applications. Artech House (2004)
Thrun, S., Fox, D., Burgard, W., Dallaert, F.: Robust monte carlo localization for mobile robots. Artif. Intell. 128(1–2), 99–141 (2001) ArticleMATH Google Scholar
Thrun, S., Burgard, W., Fox, D.: Probabilistic Robotics. MIT Press (2005)
Tseng, Y.C., Kuo, S.P., Lee, H.W., Huang, C.F.: Location tracking in a wireless sensor network by mobile agents and its data fusion strategies. IPSN 2634, 554–554 (2003) Google Scholar
Verdone, R., Dardari, D., Mazzini, G., Conti, A.: Wireless Sensor and Actuator Networks: Technologies, Analysis and Design. Academic (2008)
Yilmaz, A., Javed, O., Shah, M.: Object tracking: a survey. ACM Comput. Surv. 38, 1–45 (2006) Article Google Scholar