S. Aguilar, R. Vidal, and C. Gomez, Opportunistic sensor data collection with bluetooth low energy, Sensors, vol.17, issue.1, p.159, 2017.
DOI : 10.3390/s17010159

URL : https://www.mdpi.com/1424-8220/17/1/159/pdf

A. Akl, B. Chikhaoui, N. Mattek, J. Kaye, D. Austin et al., Clustering home activity distributions for automatic detection of mild cognitive impairment in older adults 1, Journal of Ambient Intelligence and Smart Environments, vol.8, issue.4, pp.437-451, 2016.

A. Al-fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, Internet of things: A survey on enabling technologies, protocols, and applications, IEEE Communications Surveys & Tutorials, vol.17, issue.4, pp.2347-2376, 2015.

G. Amato, D. Bacciu, M. Broxvall, S. Chessa, S. Coleman et al., Robotic ubiquitous cognitive ecology for smart homes, Journal of Intelligent & Robotic Systems, vol.80, issue.1, pp.57-81, 2015.
DOI : 10.1007/s10846-015-0178-2

URL : http://irep.ntu.ac.uk/id/eprint/3854/1/2408_McGinnity.pdf

A. A. Aziz, M. C. Klein, and J. Treur, An integrative ambient agent model for unipolar depression relapse prevention, Journal of Ambient Intelligence and Smart Environments, vol.2, issue.1, pp.5-20, 2010.
DOI : 10.1109/wi-iat.2009.296

URL : http://www.few.vu.nl/~wai/Papers/HAI09depression.pdf

D. Bacciu, S. Chessa, C. Gallicchio, and A. Micheli, On the Need of Machine Learning as a Service for the Internet of Things, ACM INTERNATIONAL CON-FERENCE PROCEEDINGS SERIES, 2017.

G. Baldewijns, V. Claes, G. Debard, M. Mertens, E. Devriendt et al., Automated in-home gait transfer time analysis using video cameras, Journal of Ambient Intelligence and Smart Environments, vol.8, issue.3, pp.273-286, 2016.

V. Baños-gonzalez, M. S. Afaqui, E. Lopez-aguilera, and E. Garcia-villegas, IEEE 802.11 ah: A technology to face the IoT challenge, Sensors, vol.16, issue.11, 1960.

P. Baronti, P. Pillai, V. W. Chook, S. Chessa, A. Gotta et al., Wireless sensor networks: A survey on the state of the art and the 802.15. 4 and ZigBee standards, Computer Communications, vol.30, issue.7, pp.1655-1695, 2007.

P. Bellavista, S. Chessa, L. Foschini, L. Gioia, and M. Girolami, Human-Enabled Edge Computing: Exploiting the Crowd as a Dynamic Extension of Mobile Edge Computing, IEEE Communications Magazine, vol.56, issue.1, pp.145-155, 2018.

S. Bernardino, J. Freitas-santos, and J. Cadima-ribeiro, The legacy of European Capitals of Culture to the "smartness" of cities: The case of Guimarães 2012, In Journal of Convention & Event Tourism, vol.19, pp.138-166, 2018.

G. Bleser, D. Steffen, M. Weber, G. Hendeby, D. Stricker et al., A personalized exercise trainer for the elderly, Journal of Ambient Intelligence and Smart Environments, vol.5, issue.6, pp.547-562, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00934916

C. Bormann, A. P. Castellani, and Z. Shelby, CoAP: An application protocol for billions of tiny internet nodes, IEEE Internet Computing, vol.16, issue.2, pp.62-67, 2012.

C. Bormann, M. Ersue, A. Keranen, and C. Gomez, Terminology for Constrained-Node Networks, Draft Name, vol.7228, 2017.
DOI : 10.17487/rfc7228

URL : https://www.rfc-editor.org/rfc/pdfrfc/rfc7228.txt.pdf

V. Callaghan and H. Hagras, Thematic issue: Smart Homes, vol.2, 2010.

G. Cardone, A. Cirri, A. Corradi, and L. Foschini, The participact mobile crowd sensing living lab: The testbed for smart cities, IEEE Communications Magazine, vol.52, issue.10, pp.78-85, 2014.

F. Castro-jul, R. P. Díaz-redondo, and A. Fernández-vilas, Collaboratively assessing urban alerts in ad hoc participatory sensing, Computer Networks, vol.131, pp.129-143, 2018.

A. Cesta, G. Cortellessa, F. Fracasso, A. Orlandini, and M. Turno, User needs and preferences on AAL systems that support older adults and their carers, Journal of Ambient Intelligence and Smart Environments, vol.10, issue.1, pp.49-70, 2018.

P. Chahuara, A. Fleury, F. Portet, and M. Vacher, On-line human activity recognition from audio and home automation sensors: Comparison of sequential and nonsequential models in realistic Smart Homes 1, Journal of Ambient Intelligence and Smart Environments, vol.8, issue.4, pp.399-422, 2016.

J. Chin, V. Callaghan, and S. Ben-allouch, The Internet of Things: Reflections on the Past, Present and Future from a User Centered and Smart Environments Perspective, Journal of Ambient Intelligence and Smart Environments, issue.1, p.11, 2019.

S. Chua, S. Marsland, and H. Guesgen, A supervised learning approach for behaviour recognition in smart homes, Journal of Ambient Intelligence and Smart Environments, vol.8, issue.3, pp.259-271, 2016.

T. Clausen, U. Herberg, and M. Philipp, A critical evaluation of the IPv6 routing protocol for low power and lossy networks (RPL), Wireless and Mobile Computing, Networking and Communications (WiMob), pp.365-372, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00597036

J. Clawson, J. A. Pater, A. D. Miller, E. D. Mynatt, and L. Mamykina, No longer wearing: investigating the abandonment of personal health-tracking technologies on craigslist, Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp.647-658, 2015.

D. J. Cook and S. K. Das, How smart are our environments? An updated look at the state of the art. Pervasive and Mobile Computing, vol.3, pp.53-73, 2007.

D. J. Cook, G. Duncan, G. Sprint, and R. L. Fritz, Using Smart City Technology to Make Healthcare Smarter, Proceedings of the IEEE, vol.106, issue.4, pp.708-722, 2018.

G. Debard, M. Mertens, M. Deschodt, E. Vlaeyen, E. Devriendt et al., Camera-based fall detection using real-world versus simulated data: How far are we from the solution, Journal of Ambient Intelligence and Smart Environments, vol.8, issue.2, pp.149-168, 2016.

A. Dubois and F. Charpillet, Measuring frailty and detecting falls for elderly home care using depth camera, Journal of Ambient Intelligence and Smart Environments, vol.9, issue.4, pp.469-481, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01657234

G. Fagerberg, A. Kung, R. Wichert, M. Tazari, B. Jeanbart et al., Platforms for AAL applications, European Conference on Smart Sensing and Context, pp.177-201, 2010.

S. Farrell, LPWAN Overview. Internet Draft (Work in Progress, Draft Name: draft-ietf-lpwan-overview-10, 2018.

E. Ferro and F. Potorti, Bluetooth and Wi-Fi wireless protocols: a survey and a comparison, IEEE Wireless Communications, vol.12, issue.1, pp.12-26, 2005.

A. Fleury, Q. Mourcou, C. Franco, B. Diot, J. Demongeot et al., Evaluation of a Smartphonebased audio-biofeedback system for improving balance in older adults-A pilot study, 35th Annual International Conference of the IEEE, pp.1198-1201, 2013.

F. Furfari, M. Girolami, S. Lenzi, and S. Chessa, A service-oriented zigbee gateway for smart environments, Journal of Ambient Intelligence and Smart Environments, vol.6, issue.6, pp.691-705, 2014.

M. Gams, . Yu-hua, I. Gu, A. Härmä, A. Muñoz et al., Artificial Intelligence and Ambient Intelligence, Journal of Ambient Intelligence and Smart Environments, vol.11, issue.1, 2019.

A. Gilchrist, , 2016.

K. Gill, S. Yang, F. Yao, and X. Lu, A zigbeebased home automation system, IEEE Transactions on Consumer Electronics, vol.55, issue.2, 2009.

H. Gjoreski, M. Gams, and M. Lu?trek, Contextbased fall detection and activity recognition using inertial and location sensors, Journal of Ambient Intelligence and Smart Environments, vol.6, issue.4, pp.419-433, 2014.

C. Gomez, J. Oller, and J. Paradells, Overview and evaluation of bluetooth low energy: An emerging lowpower wireless technology, Sensors, vol.12, issue.9, pp.11734-11753, 2012.
DOI : 10.3390/s120911734

URL : https://www.mdpi.com/1424-8220/12/9/11734/pdf

C. Gomez and J. Paradells, Wireless home automation networks: A survey of architectures and technologies, IEEE Communications Magazine, issue.6, p.48, 2010.

C. Gomez, J. Paradells, C. Bormann, and J. Crowcroft, From 6LoWPAN to 6Lo: Expanding the Universe of IPv6-Supported Technologies for the Internet of Things, IEEE Communications Magazine, vol.55, issue.12, pp.148-155, 2017.

R. Henssen and M. Schleipen, Interoperability between OPC UA and AutomationML. Procedia CIRP, vol.25, pp.297-304, 2014.

Y. G. Hong, Y. H. Choi, J. S. Youn, D. K. Kim, and J. H. Choi, Transmission of IPv6 packets over near field communication, Draft Name: draft-ietf, 2015.

J. Hou, X. Tang, and Y. Hong, Transmission of IPv6 Packets over PLC Networks, Draft Name, 2018.

X. Hu, T. H. Chu, H. C. Chan, and V. C. Leung, Vita: A crowdsensing-oriented mobile cyber-physical system, IEEE Transactions on Emerging Topics in Computing, vol.1, issue.1, pp.148-165, 2013.
DOI : 10.1109/tetc.2013.2273359

URL : https://doi.org/10.1109/tetc.2013.2273359

R. Igual, I. Plaza, C. Medrano, and M. A. Rubio, Personalizable smartphone-based system adapted to assist dependent people, Journal of Ambient Intelligence and Smart Environments, vol.6, issue.6, pp.569-593, 2014.

S. R. Islam, D. Kwak, M. H. Kabir, M. Hossain, and K. Kwak, The internet of things for health care: a comprehensive survey, IEEE Access, vol.3, pp.678-708, 2015.

E. Jean-baptiste, M. Russell, J. Howe, and P. Rotshtein, Intelligent prompting system to assist stroke survivors, Journal of Ambient Intelligence and Smart Environments, vol.9, issue.6, pp.707-723, 2017.
DOI : 10.3233/ais-170461

URL : http://pure-oai.bham.ac.uk/ws/files/41355449/Emilie_JIASE2E.pdf

Ö. Kafal?, S. Bromuri, M. Sindlar, T. Van-der-weide, E. Aguilar-pelaez et al., Commodity 12: A smart e-health environment for diabetes management, Journal of Ambient Intelligence and Smart Environments, vol.5, issue.5, pp.479-502, 2013.

A. Karami and A. Fleury, Using feedback in adaptive and user-dependent one-step decision making, 25th International Joint Conference on Artificial Intelligence (IJCAI-16) Workshop" Interactive Machine Learning, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01344448

A. B. Karami, A. Fleury, J. Boonaert, and S. Lecoeuche, User in the Loop: Adaptive Smart Homes Exploiting User Feedback-State of the Art and Future Directions, Information, vol.7, issue.2, p.35, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01332467

S. Karnouskos, A. W. Colombo, T. Bangemann, K. Manninen, R. Camp et al., A SOA-based architecture for empowering future collaborative cloud-based industrial automation, IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society, pp.5766-5772, 2012.
DOI : 10.1109/iecon.2012.6389042

S. Kehrer, O. Kleineberg, and D. Heffernan, A comparison of fault-tolerance concepts for IEEE 802.1 Time Sensitive Networks (TSN). In Emerging Technology and Factory Automation (ETFA), pp.1-8, 2014.

H. Kerdegari, S. Mokaram, K. Samsudin, and A. R. Ramli, A pervasive neural network based fall detection system on smart phone, Journal of Ambient Intelligence and Smart Environments, vol.7, issue.2, pp.221-230, 2015.

S. S. Khan and J. Hoey, Review of fall detection techniques: A data availability perspective, Medical Engineering and Physics, vol.39, pp.12-22, 2017.

M. Kriv?, Towards a critique of cybernetic urbanism: The smart city and the society of control, p.1473095216645631, 2016.

C. Kürschner, C. Condea, O. Kasten, and F. Thiesse, Discovery service design in the epcglobal network, The Internet of Things, pp.19-34, 2008.

M. Kurz, G. Holzl, A. Ferscha, A. Calatroni, D. Roggen et al., The opportunity framework and data processing ecosystem for opportunistic activity and context recognition, International Journal of Sensors Wireless Communications and Control, vol.1, issue.2, pp.102-125, 2011.
DOI : 10.2174/2210327911101020102

J. K. Laurila, D. Gatica-perez, I. Aad, O. Bornet, T. Do et al., The mobile data challenge: Big data for mobile computing research, Pervasive Computing, 2012.

J. Lee, B. Bagheri, and H. Kao, A cyber-physical systems architecture for industry 4.0-based manufacturing systems, Manufacturing Letters, vol.3, pp.18-23, 2015.

J. Lee, B. A. Reyes, D. D. Mcmanus, O. Maitas, and K. H. Chon, Atrial fibrillation detection using an iPhone 4S, IEEE Transactions on Biomedical Engineering, vol.60, issue.1, pp.203-206, 2013.
DOI : 10.1109/tbme.2012.2208112

L. Liu, M. Popescu, M. Skubic, M. Rantz, and P. Cuddihy, An automatic in-home fall detection system using Doppler radar signatures, Journal of Ambient Intelligence and Smart Environments, vol.8, issue.4, pp.453-466, 2016.

Z. Lv, X. Li, W. Wang, B. Zhang, J. Hu et al., Government affairs service platform for smart city, Future Generation Computer Systems, vol.81, pp.443-451, 2018.
DOI : 10.1016/j.future.2017.08.047

J. Martocci, K. Lynn, C. Neilson, and S. Donaldson, Transmission of IPv6 over Master-Slave/Token-Passing (MS/TP) Networks. RFC 8163, 2017.

M. Masera, E. F. Bompard, F. Profumo, and N. Hadjsaid, Smart (Electricity) Grids for Smart Cities: Assessing Roles and Societal Impacts, Proceedings of the IEEE, vol.106, issue.4, pp.613-625, 2018.
DOI : 10.1109/jproc.2018.2812212

A. Minaburo, L. Toutain, and C. Gomez, LPWAN Static Context Header Compression (SCHC) and fragmentation for IPv6 and UDP. Internet Engineering Task Force, Internet Draft, Draft Name: draft-ietf-lpwan, 2017.

A. Monacchi, F. Versolatto, M. Herold, D. Egarter, A. M. Tonello et al., An open solution to provide personalized feedback for building energy management, Journal of Ambient Intelligence and Smart Environments, vol.9, issue.2, pp.147-162, 2017.
DOI : 10.3233/ais-170422

URL : http://arxiv.org/pdf/1505.01311

L. Monostori, B. Kádár, T. Bauernhansl, S. Kondoh, S. Kumara et al., Cyber-physical systems in manufacturing, CIRP Annals, vol.65, issue.2, pp.621-641, 2016.

N. Noury, A. Fleury, P. Rumeau, A. K. Bourke, G. O. Laighin et al., Fall detectionprinciples and methods, EMBS 2007. 29th Annual International Conference of the IEEE, pp.1663-1666, 2007.

J. O'donoghue, R. Wichert, and M. Divitini, Thematic issue: Home-based Health and Wellness Measurement and Monitoring, vol.4, 2012.

P. O'donovan, K. Leahy, K. Bruton, and D. T. Sullivan, Big data in manufacturing: a systematic mapping study, Journal of Big Data, vol.2, issue.1, p.20, 2015.

N. Pavón-pulido, J. A. López-riquelme, J. Ferruz-melero, M. Á. Vega-rodríguez, and A. J. Barrios-león, A service robot for monitoring elderly people in the context of ambient assisted living, Journal of Ambient Intelligence and Smart Environments, vol.6, issue.6, pp.595-621, 2014.

R. A. Perez, J. T. Lilkendey, and S. W. Koh, Machine learning for a dynamic manufacturing environment, ACM SIGICE Bulletin, vol.19, issue.3, pp.5-9, 1994.
DOI : 10.1145/182063.182067

B. Pogorelc and M. Gams, Home-based health monitoring of the elderly through gait recognition, Journal of Ambient Intelligence and Smart Environments, vol.4, issue.5, pp.415-428, 2012.

A. Prati, C. Shan, and K. Wang, Sensors, Vision and Networks: from video surveillance to activity recognition and health monitoring, Journal of Ambient Intelligence and Smart Environments, issue.1, p.11, 2019.

D. Preuveneers and E. Ilie-zudor, The intelligent industry of the future: A survey on emerging trends, research challenges and opportunities in Industry 4.0. Journal of Ambient Intelligence and Smart Environments, vol.9, pp.287-298, 2017.

P. Priore, D. De-la-fuente, J. Puente, and J. Parreño, A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems, Engineering Applications of Artificial Intelligence, vol.19, issue.3, pp.247-255, 2006.

P. Rashidi and D. J. Cook, Keeping the resident in the loop: Adapting the smart home to the user, IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, vol.39, issue.5, pp.949-959, 2009.

B. Reiterer, C. Concolato, J. Lachner, J. Le-feuvre, J. Moissinac et al., User-centric universal multimedia access in home networks, The Visual Computer, vol.24, issue.7-9, pp.837-845, 2008.
URL : https://hal.archives-ouvertes.fr/hal-01802975

T. Winter, , 2012.

L. Rosales, B. Y. Su, M. Skubic, and K. C. Ho, , 2017.

, Heart rate monitoring using hydraulic bed sensor ballistocardiogram, Journal of Ambient Intelligence and Smart Environments, vol.9, issue.2, pp.193-207

G. Roussos, Networked RFID: systems, software and services, 2008.

G. Roussos and P. Chartier, Scalable id/locator resolution for the iot, 2011 International Conference on and 4th International Conference on Cyber, pp.58-66, 2011.

S. Sarma, D. Brock, and D. Engels, Radio frequency identification and the electronic product code, IEEE Micro, vol.21, issue.6, pp.50-54, 2001.

Z. Shelby and C. Bormann, 6LoWPAN: The wireless embedded Internet, vol.43, 2011.

Z. Shelby, K. Hartke, and C. Bormann, The constrained application protocol (CoAP), 2014.

B. N. Silva, M. Khan, and K. Han, Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities, Sustainable Cities and Society, vol.38, pp.697-713, 2018.

E. Steen, T. Frenken, M. Eichelberg, M. Frenken, and A. Hein, Modeling individual healthy behavior using home automation sensor data: Results from a field trial, Journal of Ambient Intelligence and Smart Environments, vol.5, issue.5, pp.503-523, 2013.

N. Streitz, Beyond 'smart-only' cities: redefining the 'smart-everything' paradigm, Journal of Ambient Intelligence and Humanized Computing, 2018.

N. Streitz, D. Charitos, M. Kaptein, and M. Böhlen, Grand Challenges for Ambient Intelligence and Implications for Design Contexts and Smart Societies, Journal of Ambient Intelligence and Smart Environments, issue.1, p.11, 2019.

A. K. Tripathy, P. K. Tripathy, N. K. Ray, and S. P. Mohanty, iTour: The Future of Smart Tourism: An IoT Framework for the Independent Mobility of Tourists in Smart Cities, IEEE Consumer Electronics Magazine, vol.7, issue.3, pp.32-37, 2018.

R. Velik, A brain-inspired multimodal data mining approach for human activity recognition in elderly homes, Journal of Ambient Intelligence and Smart Environments, vol.6, issue.4, pp.447-468, 2014.

P. K. Verma, R. Verma, A. Prakash, A. Agrawal, K. Naik et al., Machine-to-Machine (M2M) communications: A survey, Journal of Network and Computer Applications, vol.66, pp.83-105, 2016.

L. Walsh and S. Mcloone, Non-contact undermattress sleep monitoring, Journal of Ambient Intelligence and Smart Environments, vol.6, issue.4, pp.385-401, 2014.

Y. E. Wang, X. Lin, A. Adhikary, A. Grovlen, Y. Sui et al., A primer on 3GPP narrowband Internet of Things, IEEE Communications Magazine, vol.55, issue.3, pp.117-123, 2017.

T. Watteyne, M. Palattella, and L. Grieco, Using IEEE 802.15. 4e time-slotted channel hopping (TSCH) in the internet of things (IoT): Problem statement, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01208395

A. Zanella, N. Bui, A. Castellani, L. Vangelista, and M. Zorzi, Internet of things for smart cities, IEEE Internet of Things Journal, vol.1, issue.1, pp.22-32, 2014.

J. Zawieska and J. Pieriegud, Smart city as a tool for sustainable mobility and transport decarbonisation, Transport Policy, vol.63, pp.39-50, 2018.