Bibliography

Topic 1: Middleware for context-aware applications

• Taconet, C. ;  Batista, T.; Borges, P.;  Bouloukakis, G.;  Cavalcante, E.;  Chabridon, S.;  Conan, D.;  Desprats, T. & Muñante, D. (2023). Middleware Supporting PIS: Requirements, Solutions, and Challenges. In: Kirsch Pinheiro, M., Souveyet, C., Roose, P., Steffenel, L.A. (eds) The Evolution of Pervasive Information Systems. Springer, Cham. https://doi.org/10.1007/978-3-031-18176-4_4

Topic 2: Artificial Intelligence for Pervasive Computing

• S. Lee, X. Zheng, J. Hua, H. Vikalo and C. Julien (2021). "Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications," 2021 IEEE International Conference on Pervasive Computing and Communications (PerCom), Kassel, Germany, 2021, pp. 1-8, doi: 10.1109/PERCOM50583.2021.9439130.
• R. Ozeki, H. Yonekura, H. Rizk and H. Yamaguchi, "Decentralized Landslide Disaster Prediction for Imbalanced and Distributed Data," 2024 IEEE International Conference on Pervasive Computing and Communications (PerCom), Biarritz, France, 2024, pp. 143-150, doi: 10.1109/PerCom59722.2024.10494417.
• P. Benedetti, M. Femminella, G. Reali and K. Steenhaut, "Reinforcement Learning Applicability for Resource-Based Auto-scaling in Serverless Edge Applications," 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Pisa, Italy, 2022, pp. 674-679, doi: 10.1109/PerComWorkshops53856.2022.9767437.

Topic 3: Edge Computing for Pervasive Computing

•  Lalanda, P. (2023). Edge Computing and Learning. In: Kirsch Pinheiro, M., Souveyet, C., Roose, P., Steffenel, L.A. (eds) The Evolution of Pervasive Information Systems. Springer, Cham. https://doi.org/10.1007/978-3-031-18176-4_5

Topic 4: Industry 4.0

• Mouël, F.L., Carrillo, O. (2023). PIS: IoT & Industry 4.0 Challenges. In: Kirsch Pinheiro, M., Souveyet, C., Roose, P., Steffenel, L.A. (eds) The Evolution of Pervasive Information Systems. Springer, Cham. https://doi.org/10.1007/978-3-031-18176-4_6

Topic 5: Interoperability on Pervasive Information Systems

• Fernandes, J. et al. (2023). PIS: Interoperability and Decision-Making Process—A Review. In: Kirsch Pinheiro, M., Souveyet, C., Roose, P., Steffenel, L.A. (eds) The Evolution of Pervasive Information Systems. Springer, Cham. https://doi.org/10.1007/978-3-031-18176-4_7

Topic 6: Human Activity Recognition 

• Dahal, A.;  Moulik, S.;  Mukherjee, R. (2025). FeL-MAR: Federated learning based multi resident activity recognition in IoT enabled smart homes, Future Generation Computer Systems, vol. 163, 2025, art.n° 107552, https://doi.org/10.1016/j.future.2024.107552.
• Trotta, A.;  Montori, F.; Ciabattini, L.;  Billi, G.;  Bononi, L.;  Di Felice, M. (2024) Edge human activity recognition using federated learning on constrained devices, Pervasive and Mobile Computing, vol. 104, 2024, art. N° 101972, https://doi.org/10.1016/j.pmcj.2024.101972.

Topic 7: Sustainability and energy consomption on PIS

• A. Koehler and C. Som, "Effects of pervasive computing on sustainable," in IEEE Technology and Society Magazine, vol. 24, no. 1, pp. 15-23, Spring 2005, doi: 10.1109/MTAS.2005.1407743.
• Larracoechea, J.A.;  Roose, P.;  Ilarri, S. (2026). Energy-aware software design: A hardware and behavioural consumption scoring and labelling algorithm, Expert Systems with Applications, Vol. 299, Part C, 2026, art. N° 130046, https://doi.org/10.1016/j.eswa.2025.130046.

Topic 8: Process adaptation on PIS

• Bazan-Muñoz, A.;  Pautasso, C.;  Ortiz, G.;  Garcia-de-Prado, A. (2026). BPSmart-CARE: a framework for managing contextualized actions in IoT systems through the integration of business process modelling and complex event processing, Internet of Things, Vol. 36, 2026, article n° 101887, https://doi.org/10.1016/j.iot.2026.101887.