Smart Trends of Systems, Security and Sustainability

Dear Colleagues,

Intelligent systems enhance information flux inside the system to improve its control. The popularity of these systems is on the rise, invading the whole world in different fields, like energy production, sustainable agriculture, sustainable transport, intelligent building, and intelligent cities. Most of these systems take advantage of information technology to drive innovation and colaborative networking. The digital world helps us to build a sustainable world, trying to balance a thousand social, economic, and environmental factors, among others. Thus, how to employ intelligent systems to drive and improve efficiency, safety and sustainability has become an issue of global importance. Still, many of these systems have issues regarding privacy and safety, causing companies to be reasonably sure that these problems are addressed before releasing a product. This Special Issue will encourage articles of scientific and technologic research into new sustainable trends that expand current frame of knowledge while using intelligent systems. We hereby invite articles that sketch interdisciplinary processes as well as processes where practical and scientific collaboration is required to implement sustainable intelligent systems in different fields.

Any author interested in this field but unsure whether their work is aligned with the goals of this Special Issue are welcome to contact the Guest Editor of this Special Issue.

Appropriate topics include, but are not limited to:

• Smart trends in sustainable production
• Smart trends in sustainable development
• Smart trends in clean energy security
• Smart trends in the transition of energy systems
• The transition of energy systems and data privacy and security
• New sustainable business models
• Sustainable transport
• Trends in intelligent cities or intelligent architecture
• Sustainable security
• Sustainability of agriculture
• Sustainable conservation of geological assets
• Sustainable crop production

References:

1. Obradović, V.; Todorović, M.; Bushuyev, S. Sustainability and Agility in Project Management: Contradictory or Complementary? Intell. Syst. Comput. 2019, 871, 522–532, doi.10.1007/978-3-030-01069-0_37.
2. Waheed, M.F.; Khalid, A.M. Impact of emerging technologies for sustainable fashion, textile and design. Intell. Syst. Comput. 2019, 903, 684–689, doi.10.1007/978-3-030-11051-2_104.
3. Pan, L.; Wu, H. Smart trend-traversal: A low delay and energy tag arbitration protocol for large RFID systems. (2009) In Proceedings of IEEE INFOCOM, Rio de Janeiro, Brazil, 19–25 April 2009; IEEE, 2009; no. 5062189, pp. 2571–2575, doi.10.1109/INFCOM.2009.5062189.
4. Hannan, M.A.; Azidin, F.A.; Mohamed, A. Hybrid electric vehicles and their challenges: A review. Sustain. Energy Rev. 2014, 29, 135–150. doi.10.1016/j.rser.2013.08.097.
5. Mocerino, C. Digital revolution in efficient self-organization of buildings: Towards intelligent robotics. (2018) In Proceedings of 2018 Energy and Sustainability for Small Developing Economies (ES2DE), Funchal, Portugal, 9–12 July 2018; IEEE, 2018; art. no. 8494237, pp. 27–32, doi.10.1109/ES2DE.2018.8494237.
6. Mejia, D.; Villanueva-Rosales, N.; Torres, E.; Cheu, R.L. Integrating heterogeneous freight performance data for smart mobility. (2018) In Proceedings of 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), San Francisco, CA, USA, 4–8 August 2017; IEEE, 2018; pp. 1–8, doi.10.1109/UIC-ATC.2017.8397581.
7. Yang, R.; Newman, M.W. Learning from a learning thermostat: Lessons for intelligent systems for the home. In Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing, Zurich, Switzerland, 8–12 September, 2013; ACM: New York, NY, USA, 2013; pp. 93–102, doi.10.1145/2493432.2493489.
8. Piro, G.; Cianci, I.; Grieco, L.A.; Boggia, G.; Camarda, P. Information centric services in Smart Cities. (2014) Syst. Softw. 2014, 88, 169–188, doi.10.1016/j.jss.2013.10.029.
9. Teixeira, A.; Sou, K.C.; Sandberg, H.; Johansson, K.H. Secure control systems: A quantitative risk management approach. IEEE Control Sys. 2015, 35, 24–45, doi.10.1109/MCS.2014.2364709.
10. Byun, J., Park, S. Development of a self-adapting intelligent system for building energy saving and context-aware smart services. (2011) IEEE Trans. Consum. Electron. 2011, 57, 90–98, doi.10.1109/TCE.2011.5735486.
11. Rodríguez, M.D.; Favela, J.; Preciado, A.; Vizcaíno, A. Agent-based ambient intelligence for healthcare. AI Commun. 2005, 18, 201–216.
12. Ramchurn, S.D.; Vytelingum, P.; Rogers, A.; Jennings, N.R. Putting the 'smarts' into the smart grid: A grand challenge for artificial intelligence. (2012) ACM, 2012, 55, 86–97, doi.10.1145/2133806.2133825.
13. Cheng, X.; Hu, X.; Yang, L.; Husain, I.; Inoue, K.; Krein, P.; Lefevre, R.; Li, Y.; Nishi, H.; Taiber, J.G.; Wang, F.Y.; Zha, Y.; Gao, W.; Li, Z. Electrified vehicles and the smart grid: The ITS perspective. IEEE Trans. Intell. Transp. Syst. 2014, 15, 1388–1404, doi.10.1109/TITS.2014.2332472.
14. Rigas, E.S.; Ramchurn, S.D.; Bassiliades, N. Managing Electric Vehicles in the Smart Grid Using Artificial Intelligence: A Survey. IEEE Trans. Intell. Transp. Syst. 2015, 16, 1619–1635, doi. 10.1109/TITS.2014.2376873.
15. Alam, A.; Besselink, B.; Turri, V.; Martensson, J.; Johansson, K.H. Heavy-duty vehicle platooning for sustainable freight transportation: A cooperative method to enhance safety and efficiency. IEEE Control Sys.Mag. 2015, 35, 34–56, doi.10.1109/MCS.2015.2471046.
16. Cimmino, A.; Pecorella, T.; Fantacci, R.; Granelli, F.; Rahman, T.F.; Sacchi, C.; Carlini, C.; Harsh, P. The role of small cell technology in future smart city applications. (2014) Emerg. Technol. 2014, 25, 11–20, doi.10.1002/ett.2766.

Dr. Nuria Novas Castellano
Guest Editor

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