Simulation environment for algorithms and agents evaluation.
Abstract This article presents an adaptive platform that can simulate the centralized control of different smart city areas. For example, public lighting and intelligent management, public zones of buildings, energy distribution, etc. It can operate the hardware infrastructure and perform optimization both in energy consumption and economic control from a modular architecture which is fully adaptable to most cities. Machine-to-machine (M2M) permits connecting all the sensors of the city so that they provide the platform with a perfect perspective of the global city status. To carry out this optimization, the platform offers the developers a software that operates on the hardware infrastructure and merges various techniques of artificial intelligence (AI) and statistics, such as artificial neural networks (ANN), multi-agent systems (MAS) or a Service Oriented Approach (SOA), forming an Internet of Services (IoS). Different case studies were tested by using the presented platform, and further development is still underway with additional case studies.
- Referencias
- Cómo citar
- Del mismo autor
- Métricas
Calvillo, C. F., Sánchez-Miralles, A., & Villar, J. (2016). Energy management and planning in smart cities. Re-newable and Sustainable Energy Reviews, 55, 273-287.
Chamoso, P., De la Prieta, F., De Paz, F., & Corchado, J. M. (2015). Swarm Agent-Based Architecture Suitable for Internet of Things and Smartcities. In Distributed Computing and Artificial Intelligence, 12th Interna-tional Conference (pp. 21-29). Springer International Publishing.
Chamoso, P., De la Prieta, F., Bajo, J., & Corchado, J. M. (2016). Conflict Resolution with Agents in Smart Ci-ties. Interdisciplinary Perspectives on Contemporary Conflict Resolution. IGI Global.
Chourabi, H., Nam, T., Walker, S., Gil-Garcia, J. R., Mellouli, S., Nahon, K., Pardo, T. A., and Scholl, H. J. (2012). Understanding Smart Cities: An Integrative Framework. 2012 45th Hawaii International Conference on System Sciences, 2289-2297.
Gómez-Romero, J., Serrano, M. A., Patricio, M. A., García, J., & Molina, J. M. (2012). Context-based scene recognition from visual data in smart homes: an information fusion approach. Personal and Ubiquitous Computing, 16(7), 835-857.
Naphade, M., Banavar, G., Harrison, C., Paraszczak, J., & Morris, R. (2011). Smarter cities and their innovation challenges. Computer, 44(6), 32-39.
Washburn, D., Sindhu, U., Balaouras, S., Dines, R. a, Hayes, N., and Nelson, L. E. (2009). Helping CIOs Un-derstand "Smart City" Initiatives. Growth, 17. Available at: http://c3328005.r5.cf0.rackcdn.com/73efa931-0fac-4e28-ae77-8e58ebf74aa6.pdf.
Chamoso, P., De la Prieta, F., De Paz, F., & Corchado, J. M. (2015). Swarm Agent-Based Architecture Suitable for Internet of Things and Smartcities. In Distributed Computing and Artificial Intelligence, 12th Interna-tional Conference (pp. 21-29). Springer International Publishing.
Chamoso, P., De la Prieta, F., Bajo, J., & Corchado, J. M. (2016). Conflict Resolution with Agents in Smart Ci-ties. Interdisciplinary Perspectives on Contemporary Conflict Resolution. IGI Global.
Chourabi, H., Nam, T., Walker, S., Gil-Garcia, J. R., Mellouli, S., Nahon, K., Pardo, T. A., and Scholl, H. J. (2012). Understanding Smart Cities: An Integrative Framework. 2012 45th Hawaii International Conference on System Sciences, 2289-2297.
Gómez-Romero, J., Serrano, M. A., Patricio, M. A., García, J., & Molina, J. M. (2012). Context-based scene recognition from visual data in smart homes: an information fusion approach. Personal and Ubiquitous Computing, 16(7), 835-857.
Naphade, M., Banavar, G., Harrison, C., Paraszczak, J., & Morris, R. (2011). Smarter cities and their innovation challenges. Computer, 44(6), 32-39.
Washburn, D., Sindhu, U., Balaouras, S., Dines, R. a, Hayes, N., and Nelson, L. E. (2009). Helping CIOs Un-derstand "Smart City" Initiatives. Growth, 17. Available at: http://c3328005.r5.cf0.rackcdn.com/73efa931-0fac-4e28-ae77-8e58ebf74aa6.pdf.
Chamoso, P., & De La Prieta, F. (2016). Simulation environment for algorithms and agents evaluation. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 4(3), 87–96. https://doi.org/10.14201/ADCAIJ2015438796
Most read articles by the same author(s)
- Juan M. Corchado, Sebastian López F., Juan M. Núñez V., Raul Garcia S., Pablo Chamoso, Generative Artificial Intelligence: Fundamentals , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 12 (2023)
- Pablo Chamoso, Fernando De La Prieta, Gabriel Villarrubia, Intelligent system to control electric power distribution networks , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 4 No. 4 (2015)
- Alfonso González Briones, Pablo Chamoso, Alberto Barriuso, Review of the Main Security Problems with Multi-Agent Systems used in E-commerce Applications , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 5 No. 3 (2016)
- Pablo Chamoso, Fernando De La Prieta, Swarm-Based Smart City Platform: A Traffic Application , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 4 No. 2 (2015)
- María Eugenia Pérez-Pons, Javier Parra-Domínguez, Pablo Chamoso, Marta Plaza, Ricardo Alonso , Efficiency, profitability and productivity: Technological applications in the agricultural sector , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 9 No. 4 (2020)
- Ricardo Silveira, Guilherme Klein Da Silva Bitencourt, Thiago Ângelo Gelaim, Jerusa Marchi, Fernando De La Prieta, Towards a Model of Open and Reliable Cognitive Multiagent Systems: Dealing with Trust and Emotions , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 4 No. 3 (2015)
- Alberto López Barriuso, Fernando De La Prieta, Álvaro Lozano Murciego, Daniel Hernández, Jorge Revuelta Herrero, JOUR-MAS: a multi-agent system approach to help journalism management , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 4 No. 4 (2015)
- María Navarro, Fernando De La Prieta, Gabriel Villarrubia, Mohd Saberi MOHAMAD Mohamad, CronoClock: A Multiagent Mobile Model to Assist Drivers in Park Zones , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 3 No. 1 (2014)
- Vincenza Cofini, Fernando De La Prieta, Tania Di Mascio, Rosella Gennari, Pierpaolo Vittorini, Design Smart Games with requirements, generate them with a Click, and revise them with a GUIs , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 1 No. 3 (2012)
- Pablo Chamoso, Henar Pérez-Ramos, Ángel García-García, ALTAIR: Supervised Methodology to Obtain Retinal Vessels Caliber , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 3 No. 4 (2014)
Downloads
Download data is not yet available.
+
−