Abstract
This paper presents an approach and a tool, called MASH, to design of real world decentralized intelligent systems. MASH enables the simulation of distributed systems including virtual and real world embedded nodes according to realistic physical models. We present the key features of this tool and its architecture.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abras, S., Ploix, S., Pesty, S., Jacomino, M.: A multi-agent home automation system for power management. In: Proc. of the 3rd Int. Conf. on Informatics in Control, Automation and Robotics, Intelligent Control Systems and Optimization, pp. 3–8. INSTICC Press (2006)
Begg, R., Hassan, R.: Artificial neural networks in smart homes. In: Augusto, J.C., Nugent, C.D. (eds.) Designing Smart Homes. LNCS (LNAI), vol. 4008, pp. 146–164. Springer, Heidelberg (2006)
De Carolis, B., Cozzolongo, G., Pizzutilo, S., Plantamura, V.L.: Agent-based home simulation and control. In: Hacid, M.-S., Murray, N.V., Raś, Z.W., Tsumoto, S. (eds.) ISMIS 2005. LNCS (LNAI), vol. 3488, pp. 404–412. Springer, Heidelberg (2005)
Conte, G., Scaradozzi, D., Perdon, A., Morganti, G.: Mas theory for resource management in home automation systems. Journal of Physical Agents 3, 15–19 (2009)
Fairweather, I., Brumfield, A.: LabVIEW: A Developer’s Guide to Real World Integration. Taylor and Francis (2011)
Galton, A.: Causal reasoning for alert generation in smart homes. In: Augusto, J.C., Nugent, C.D. (eds.) Designing Smart Homes. LNCS (LNAI), vol. 4008, pp. 57–70. Springer, Heidelberg (2006)
Girod, L., Elson, J., Cerpa, A., Stathopoulos, T., Ramanathan, N., Estrin, D.: Emstar: A software environment for developing and deploying wireless sensor networks. In: Proc. of the USENIX Annual Tech. Conf., pp. 283–296. USENIX (2004)
Handy, M., Timmermann, D.: Simulation of mobile wsn with accurate modelling of non-linear battery effects. In: Applied Simulation and Modelling. Acta Press (2003)
Hassaine, F., Moulton, R., Fink, C.: Composing a high fidelity hla federation for littoral operations. In: Symp. on Applied Computing, pp. 2087–2092. ACM (2009)
Jamont, J.P., Mendes, E., Occello, M.: A framework to simulate and support the design of distributed automation and decentralized control systems: application to control of indoor building comfort. In: Proc. of the IEEE Symp. on Computational Intelligence in Control and Automation, pp. 80–87. IEEE (2011)
Jamont, J.P., Occello, M.: A multiagent method to design hardware/software collaborative systems. In: Proceedings of the 12th International Conference on Computer Supported Cooperative Work in Design, pp. 361–366. IEEE (2008)
Jamont, J.-P., Occello, M.: Using mash in the context of the design of embedded multiagent system. In: Demazeau, Y., Ishida, T., Corchado, J.M., Bajo, J. (eds.) PAAMS 2013. LNCS, vol. 7879, pp. 283–286. Springer, Heidelberg (2013)
Kim, I., Park, H., Noh, B., Lee, Y., Lee, S., Lee, H.: Design and implementation of context-awareness simulation toolkit for context learning. In: IEEE Conf. on Sensor Networks, Ubiquitous, and Trustworthy Computing, pp. 96–103 (2006)
Levis, P., Lee, N., Welsh, M., Culler, D.: Tossim: accurate and scalable simulation of entire tinyos application. In: Proc. of the Int. Conf. on Embedded Networked Sensor Systems, pp. 126–137. ACM (2003)
Mendes, M., Santos, B., da Costa, J.S.: A matlab/simulink multi-agent toolkit for distributed networked fault tolerant control systems. In: Proc. of the 7th IFAC Symp. on Fault Detection, Supervision and Safety of Technical Processes (2010)
Moore, H.: MATLAB for engineers. ESource–the Prentice Hall engineering source. Prentice Hall (2001)
Nguyen, T.V., Nguyen, H.A., Choi, D.: Development of a context aware virtual smart home simulator. CoRR 1007.1274 (2010)
O’Neill, E., Klepal, M., Lewis, D., O’Donnell, T., O’Sullivan, D., Pesch, D.: A testbed for evaluating human interaction with ubiquitous computing environments. In: Proc. of the 1st Int. Conf. on Testbeds, Research Infrastructures for the Development of Networks and Communities, pp. 60–69. IEEE Computer Society (2005)
Park, S., Savvides, A., Srivastava, M.B.: Simulating networks of wireless sensors. In: Proc. of the 2001 Winter Simulation Conference, pp. 1330–1338. ACM (2001)
Ponci, F., Deshmukh, A., Monti, A., Cristaldi, L., Ottoboni, R.: Interface for multi-agent platform systems. In: Proceedings of the IEEE Instrumentation and Measurement Technology Conference, pp. 2226–2230. IEEE (2005)
Robinson, C.R., Mendham, P., Clarke, T.: A multiagent approach to manage communication in wis. Journal of Physical Agents 4(3), 489–503 (2010)
Sobieh, A., Hou, J.: A simulation framework for sensor networks in j-sim (2003)
Titzer, B., Lee, D.K., Palsberg, J.: Avrora: scalable sensor network simulation with precise timing. In: Proceedings of the 4th Int. Symp. on Information Processing in Sensor Networks, pp. 477–482. IEEE (2005)
Weyns, D., Schelfthout, K., Holvoet, T., Lefever, T.: Decentralized control of e’gv transportation systems. In: 4th Int. Joint Conf. on Autonomous Agents and Multiagent Systems - Industrial Applications, pp. 67–74. ACM (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jamont, JP., Occello, M., Mendes, E. (2013). Decentralized Intelligent Real World Embedded Systems: A Tool to Tune Design and Deployment. In: Demazeau, Y., Ishida, T., Corchado, J.M., Bajo, J. (eds) Advances on Practical Applications of Agents and Multi-Agent Systems. PAAMS 2013. Lecture Notes in Computer Science(), vol 7879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38073-0_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-38073-0_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38072-3
Online ISBN: 978-3-642-38073-0
eBook Packages: Computer ScienceComputer Science (R0)