[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
chapter

Internet of Everything

Published: 23 February 2021 Publication History
First page of PDF

References

[1]
K. Aditya, P. Chacko, D. Kumari, D. Kumari, and S. Bilgaiyan. Jul. 2018. Recent trends in HCI: A survey on Data Glove, LEAP Motion and Microsoft Kinect. In 2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA). IEEE, 1–5.
[2]
O. Akribopoulos, M. Logaras, N. Vasilakis, P. Kokkinos, G. Mylonas, I. Chatzigiannakis, and P. Spirakis. 2009. Developing multiplayer pervasive games and networked interactive installations using ad hoc mobile sensor nets. In Proceedings of the International Conference on Advances in Computer Entertainment Technology. ACM, 174–181.
[3]
O. Akribopoulos, I. Chatzigiannakis, C. Koninis, and E. Theodoridis. 2010. A web services-oriented architecture for integrating small programmable objects in the web of things. In Developments in E-systems Engineering (DESE), 2010. IEEE, 70–75.
[4]
O. Akrivopoulos, I. Chatzigiannakis, C. Tselios, and A. Antoniou. Jul. 2017. On the deployment of healthcare applications over fog computing infrastructure. In 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), Vol. 2. IEEE, 288–293.
[5]
D. Amaxilatis and I. Chatzigiannakis. 2018. Design and analysis of adaptive hierarchical low-power long-range networks. J. Sens. Actuator Netw. 7, 4. ISSN: 2224-2708. http://www.mdpi.com/2224-2708/7/4/51.
[6]
D. Amaxilatis, I. Chatzigiannakis, S. Dolev, C. Koninis, A. Pyrgelis, and P. G. Spirakis. 2011. Adaptive hierarchical network structures for wireless sensor networks. In Ad Hoc Networks – Third International ICST Conference, ADHOCNETS 2011, Paris, France, September 21–23, 2011, Revised Selected Papers, Vol. 89. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Springer, 65–80. ISBN: 978-3-642-29095-4.
[7]
D. Amaxilatis, O. Akrivopoulos, G. Mylonas, and I. Chatzigiannakis. 2017a. An IoT-based solution for monitoring a fleet of educational buildings focusing on energy efficiency. Sensors 17, 10, 2296.
[8]
D. Amaxilatis, I. Chatzigiannakis, I. Mavrommati, E. Vasileiou, and A. Vitaletti. 2017b. Delivering elder-care environments utilizing TV-channel based mechanisms. J. Amb. Intel. Smart. Environ. 9, 6, 783–798.
[9]
American Civil Liberties (ACLU). 1994. Toward a New Health Care System: The Civil Liberties Issues. Technical Report, An ACLU Public Policy Report. ISBN: O-914031-24-4.
[10]
F. Angeletti, I. Chatzigiannakis, and A. Vitaletti. 2017a. Privacy preserving data management in recruiting participants for digital clinical trials. In Proceedings of the First International Workshop on Human-Centered Sensing, Networking, and Systems. ACM, 7–12.
[11]
F. Angeletti, I. Chatzigiannakis, and A. Vitaletti. 2017b. The role of blockchain and IoT in recruiting participants for digital clinical trials. In 2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE, 1–5.
[12]
F. Angeletti, I. Chatzigiannakis, and A. Vitaletti. 2018. Towards an architecture to guarantee both data privacy and utility in the first phases of digital clinical trials. Sensors 18, 12, 4175.
[13]
P. Athilingam and B. Jenkins. May 2018. Mobile phone apps to support heart failure self-care management: Integrative review. JMIR Cardio 2, 1, e10057. ISSN: 2561-1011.
[14]
L. Atzori, A. Iera, G. Morabito, and M. Nitti. 2012. The Social Internet of Things (SIoT) – When social networks meet the internet of things: Concept, architecture and network characterization. Computer Netw. 56, 16, 3594–3608. ISSN: 1389-1286. http://www.sciencedirect.com/science/article/pii/S1389128612002654.
[15]
G. Bansal, F. M. Zahedi, and D. Gefen. May 2010. The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online. Decis. Support Syst. 49, 2, 138–150. ISSN: 0167-9236.
[16]
S. Barbarossa, S. Sardellitti, and P. D. Lorenzo. Nov. 2014. Communicating while computing: Distributed mobile cloud computing over 5G heterogeneous networks. IEEE Signal Process. Mag. 31, 6, 45–55. ISSN: 1053-5888.
[17]
P. Barrie, A. Komninos, and O. Mandrychenko. 2009. A pervasive gesture-driven augmented reality prototype using wireless sensor body area networks. In Proceedings of the 6th International Conference on Mobile Technology, Application & Systems, Mobility’09. ACM, New York, NY, 61:1–61:4. ISBN: 978-1-60558-536-9.
[18]
R. C. Barrows Jr. and P. D. Clayton. 1996. Privacy, confidentiality, and electronic medical records. J. Am. Med. Inform. Assoc. 3, 2, 139–148.
[19]
T. Baumgartner, I. Chatzigiannakis, S. P. Fekete, S. Fischer, C. Koninis, A. Kröller, D. Krüger, G. Mylonas, and D. Pfisterer. 2011. Distributed algorithm engineering for networks of tiny artifacts. Comput. Sci. Rev. 5, 1, 85–102.
[20]
D. V. Bayramol, N. Soin, T. Shah, E. Siores, D. Matsouka, S. Vassiliadis. 2017. Energy Harvesting Smart Textiles. Springer International Publishing, Cham, 199–231. ISBN: 978-3-319-50124-6.
[21]
S. P. Beeby, M. J. Tudor, and N. White. 2006. Energy harvesting vibration sources for microsystems applications. Meas. Sci. Technol. 17, 12, R175.
[22]
L. Bereuter, S. Williner, F. Pianezzi, B. Bissig, S. Buecheler, J. Burger, R. Vogel, A. Zurbuchen, and A. Haeberlin. May 2017. Energy harvesting by subcutaneous solar cells: A long-term study on achievable energy output. Ann. Biomed. Eng. 45, 5, 1172–1180. ISSN: 1573-9686.
[23]
A. Bergström. 2015. Online privacy concerns: A broad approach to understanding the concerns of different groups for different uses. Comput. Human Behav. 53, 419–426.
[24]
A. Bloomfield and N. I. Badler. 2008. Virtual training via vibrotactile arrays. Presence: Teleoperators and Virtual Environments 17, 2, 103–120.
[25]
T. Bodenheimer and K. Grumbach. 2003. Electronic technology: A spark to revitalize primary care? J. Am. Med. Assoc. 290, 2, 259–264.
[26]
A. A. Boulogeorgos, P. D. Diamantoulakis, and G. K. Karagiannidis. 2016. Low power wide area networks (LPWANs) for internet of things (IoT) applications: Research challenges and future trends. CoRR, abs/1611.07449. http://arxiv.org/abs/1611.07449.
[27]
D. Calvaresi, D. Cesarini, P. Sernani, M. Marinoni, A. F. Dragoni, and A. Sturm. Apr. 2017. Exploring the ambient assisted living domain: A systematic review. J. Amb. Intel. Human. Comput. 8, 2, 239–257. ISSN: 1868-5145.
[28]
M. Centenaro, L. Vangelista, A. Zanella, and M. Zorzi. Oct. 2015. Long-range communications in unlicensed bands: The rising stars in the IoT and smart city scenarios. IEEE Wirel. Commun., 23.
[29]
I. Chatzigiannakis and A. Strikos. Sep. 2007. A decentralized intrusion detection system for increasing security of wireless sensor networks. In 2007 IEEE Conference on Emerging Technologies and Factory Automation (EFTA 2007). IEEE, 1408–1411.
[30]
I. Chatzigiannakis, A. Kinalis, and S. E. Nikoletseas. 2005. An adaptive power conservation scheme for heterogeneous wireless sensor networks with node redeployment. In SPAA 2005: Proceedings of the 17th Annual ACM Symposium on Parallelism in Algorithms and Architectures, July 18–20, 2005, Las Vegas, Nevada. ACM, 96–105. ISBN: 1-58113-986-1.
[31]
I. Chatzigiannakis, T. Dimitriou, S. E. Nikoletseas, and P. G. Spirakis. 2006a. A probabilistic algorithm for efficient and robust data propagation in wireless sensor networks. Ad Hoc Netw., 4, 5, 621–635.
[32]
I. Chatzigiannakis, G. Mylonas, and S. E. Nikoletseas. 2006b. Modeling and evaluation of the effect of obstacles on the performance of wireless sensor networks. In Proceedings 39th Annual Simulation Symposium (ANSS-39 2006), 2–6 April 2006, Huntsville, Alabama. IEEE Computer Society, 50–60. ISBN: 0-7695-2559-8.
[33]
I. Chatzigiannakis, E. Konstantinou, V. Liagkou, and P. G. Spirakis. 2007. Design, analysis and performance evaluation of group key establishment in wireless sensor networks. Electr. Notes Theor. Comput. Sci. 171, 1, 17–31.
[34]
I. Chatzigiannakis, A. Kinalis, and S. E. Nikoletseas. 2008. Efficient data propagation strategies in wireless sensor networks using a single mobile sink. Comput. Commun. 31, 5, 896–914.
[35]
I. Chatzigiannakis, G. Mylonas, P. Kokkinos, O. Akribopoulos, M. Logaras, and I. Mavrommati. 2011a. Implementing multiplayer pervasive installations based on mobile sensing devices: Field experience and user evaluation from a public showcase. J. Syst. Softw. 84, 11, 1989–2004.
[36]
I. Chatzigiannakis, G. Mylonas, and A. Vitaletti. 2011b. Urban pervasive applications: Challenges, scenarios and case studies. Comput. Sci. Rev. 5, 1, 103–118.
[37]
I. Chatzigiannakis, A. Pyrgelis, P. G. Spirakis, and Y. C. Stamatiou. 2011c. Elliptic curve based zero knowledge proofs and their applicability on resource constrained devices. In 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems. IEEE, 715–720.
[38]
I. Chatzigiannakis, H. Hasemann, M. Karnstedt, O. Kleine, A. Kröller, M. Leggieri, D. Pfisterer, K. Römer, and C. Truong. 2012. True self-configuration for the IoT. In 3rd IEEE International Conference on the Internet of Things, IOT 2012, Wuxi, Jiangsu Province, China, October 24–26, 2012. IEEE, 9–15.
[39]
I. Chatzigiannakis, A. Vitaletti, and A. Pyrgelis. 2016. A privacy-preserving smart parking system using an IoT elliptic curve based security platform. Comput. Commun., 89–90, 165–177.
[40]
A. Checko, H. L. Christiansen, Y. Yan, L. Scolari, G. Kardaras, M. S. Berger, and L. Dittmann. Firstquarter 2015. Cloud ran for mobile networks—A technology overview. IEEE Commun. Surv. Tutor. 17, 1, 405–426. ISSN: 1553-877X.
[41]
M. Chiang and T. Zhang. Dec. 2016. Fog and IoT: An overview of research opportunities. IEEE Internet Things J. 3, 6, 854–864. ISSN: 2327-4662.
[42]
E. Christopoulou, D. Ringas, and J. Garofalakis. 2014. The vision of the sociable smart city. In International Conference on Distributed, Ambient, and Pervasive Interactions. Springer, 545–554.
[43]
Communication Systems for Meters. Retrieved January 26, 2020 from https://ec.europa.eu/eip/ageing/standards/ict-andcommunication/data/en-13757_en.
[44]
J. Dean and S. Ghemawat. Jan. 2008. MapReduce: Simplified data processing on large clusters. Commun. ACM, 51, 1, 107–113. ISSN: 0001-0782.
[45]
M. Dunlop and S. Brewster. 2002. The challenge of mobile devices for human computer interaction. Pers. Ubiquit. Comput. 6, 4, 235–236.
[46]
M. D. Dunlop and F. Taylor. 2009. Tactile feedback for predictive text entry. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI’09, ACM, New York, NY, USA, 2257–2260. ISBN: 978-1-60558-246-7.
[47]
M. D. Dunlop, M. Roper, M. Elliot, R. McCartan, and B. McGregor. 2016. Using smartphones in cities to crowdsource dangerous road sections and give effective in-car warnings. In Proceedings of the SEACHI 2016 on Smart Cities for Better Living with HCI and UX. ACM, 14–18.
[48]
P. Eslambolchilar and R. Murray-Smith. 2008. Interact, excite, and feel. In Proceedings of the 2nd International Conference on Tangible and Embedded Interaction. ACM, 131–138.
[49]
A. Fakhari and M. Fathy. 2010. A two level architecture for high throughput DCT-processor and implementing on FPGA. In 2010 International Conference on Reconfigurable Computing and FPGAs (ReConFig). IEEE, 115–120.
[50]
F. Fukuyama. 1995. Trust: The social virtues and the creation of prosperity. Free Press Paperbacks. D10 301 c.1/c.2.
[51]
P. Garcia Lopez, A. Montresor, D. Epema, A. Datta, T. Higashino, A. Iamnitchi, M. Barcellos, P. Felber, and E. Riviere. Sep. 2015. Edge-centric computing: Vision and challenges. SIGCOMM Comput. Commun. Rev. 45, 5, 37–42. ISSN: 0146-4833.
[52]
D. Gavalas, P. Nicopolitidis, A. Kameas, C. Goumopoulos, P. Bellavista, L. Lambrinos, and B. Guo. 2017. Smart cities: Recent trends, methodologies, and applications. Wirel. Commun. Mob. Comput. 2017, 2017, Article ID: 7090963.
[53]
T. Gomes, S. Pinto, T. Gomes, A. Tavares, and J. Cabral. Sep. 2015. Towards an FPGA-based edge device for the internet of things. In 2015 IEEE 20th Conference on Emerging Technologies Factory Automation (ETFA). IEEE, 1–4.
[54]
J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami. 2013. Internet of things (IoT): A vision, architectural elements, and future directions. Future Gen. Comput. Syst. 29, 7, 1645–1660. ISSN: 0167-739X. http://www.sciencedirect.com/science/article/pii/S0167739X13000241.
[55]
T. Harries, P. Eslambolchilar, R. Rettie, C. Stride, S. Walton, and H. C. van Woerden. 2016. Effectiveness of a smartphone app in increasing physical activity amongst male adults: A randomised controlled trial. BMC Public Health 16, 1, 925.
[56]
Z. He, T. Chang, S. Lu, H. Ai, D. Wang, and Q. Zhou. 2017. Research on human-computer interaction technology of wearable devices such as augmented reality supporting grid work. Procedia Comput. Sci. 107, 170–175.
[57]
S. Heggen. Jan. 2013. Participatory sensing: Repurposing a scientific tool for stem education. Interactions 20, 1, 18–21. ISSN: 1072-5520.
[58]
J. L. Hill and D. E. Culler. Nov. 2002. Mica: A wireless platform for deeply embedded networks. IEEE Micro 22, 6, 12–24. ISSN: 0272-1732.
[59]
M. Hirzel, R. Soulé, S. Schneider, B. Gedik, and R. Grimm. Mar. 2014. A catalog of stream processing optimizations. ACM Comput. Surv. 46, 4, 46:1–46:34. ISSN: 0360-0300.
[60]
A. Jøsang. 1996. The right type of trust for distributed systems. In Proceedings of the 1996 Workshop on New Security Paradigms. ACM, 119–131.
[61]
W. Juan. 2012. Human-computer interaction system based on GRBF & HMM. Physics Procedia 24, 769–773.
[62]
N. Kaklanis, D. Tzovaras, and K. Moustakas. 2009. Haptic navigation in the World Wide Web. In International Conference on Universal Access in Human-Computer Interaction. Springer, 707–715.
[63]
Y. J. Kang, B. Wang, S. Dai, G. Liu, Y. Pu, and C. Hu. 2015. Folded elastic strip-based triboelectric nanogenerator for harvesting human motion energy for multiple applications. ACS Appl. Mater. Interfaces 7, 36, 20469–20476.
[64]
P. Karkazis, P. Trakadas, T. B. Zahariadis, I. Chatzigiannakis, M. Dohler, A. Vitaletti, A. Antoniou, H. Leligou, and L. Sarakis. 2015. Resource and service virtualisation in M2M and IoT platforms. Int. J. Intell. Eng. Inform. 3, 2/3, 205–224.
[65]
V. Kasapakis and D. Gavalas. 2015. Pervasive gaming: Status, trends and design principles. J. Netw. Comput. Appl. 55, 213–236. ISSN: 1084-8045. http://www.sciencedirect.com/science/article/pii/S1084804515001095.
[66]
S. Kasprzak, A. Komninos, and P. Barrie. Jul. 2013. Feature-based indoor navigation using augmented reality. In 2013 9th International Conference on Intelligent Environments. IEEE, 100–107.
[67]
Y. Khan, A. E. Ostfeld, C. M. Lochner, A. Pierre, and A. C. Arias. 2016. Monitoring of vital signs with flexible and wearable medical devices. Adv. Mater. 28, 22, 4373–4395.
[68]
D. Kliazovich and F. Granelli. May. 2008. Distributed protocol stacks: A framework for balancing interoperability and optimization. In ICC Workshops – 2008 IEEE International Conference on Communications Workshops. IEEE, 241–245.
[69]
O. Kocsis, G. Arvanitis, A. Lalos, K. Moustakas, J. K. Sont, P. J. Honkoop, K. F. Chung, M. Bonini, O. S. Usmani, and S. Fowler, et al. 2017. Assessing machine learning algorithms for self-management of asthma. In E-Health and Bioengineering Conference (EHB), 2017. IEEE, 571–574.
[70]
D. E. Kouicem, A. Bouabdallah, and H. Lakhlef. 2018. Internet of things security: A top-down survey. Comput. Netw. 14, 199–221. ISSN: 1389-1286. https://www.sciencedirect.com/science/article/pii/S1389128618301208.
[71]
D. Kreutz, F. M. V. Ramos, P. E. Veríssimo, C. E. Rothenberg, S. Azodolmolky, and S. Uhlig. Jan. 2015. Software-defined networking: A comprehensive survey. Proc. IEEE 103, 1, 14–76. ISSN: 0018-9219.
[72]
A. S. Lalos, L. Alonso, and C. Verikoukis. 2014. Model based compressed sensing reconstruction algorithms for ECG telemonitoring in WBANs. Digit. Signal Process. 35, 105–116.
[73]
A. S. Lalos, A. Antonopoulos, E. Kartsakli, M. Di Renzo, S. Tennina, L. Alonso, and C. Verikoukis. 2015. RLNC-aided cooperative compressed sensing for energy efficient vital signal telemonitoring. IEEE Trans. Wirel. Commun. 14, 7, 3685–3699.
[74]
A. S. Lalos, K. Gardelis, A. Spathis-Papadiotis, and K. Moustakas. 2017. Gamification of EcoDriving Behaviours through Intelligent Management of dynamic car and driver information. In International Conference on Smart Cities and Mobility as a Service.
[75]
M. B. Lavagnino. 2013. Information privacy revealed. EDUCAUSE Rev. 48, 1, 10.
[76]
H. Leutheuser, N. R. Lang, S. Gradl, M. Struck, A. Tobola, C. Hofmann, L. Anneken, and B. M. Eskofier. 2017. Textile Integrated Wearable Technologies for Sports and Medical Applications. Springer International Publishing, Cham, 359–382. ISBN: 978-3-319-50124-6.
[77]
E. E. Lithoxoidou, S. Doumpoulakis, A. Tsakiris, S. Krinidis, D. Ioannidis, K. Votis, D. Tzovaras. 2017. Improvement of the workers’ satisfaction and collaborative spirit through gamification. In Internet Science, I. Kompatsiaris, J. Cave, A. Satsiou, G. Carle, A. Passani, E. Kontopoulos, S. Diplaris, and D. McMillan (Eds.). Springer International Publishing, Cham, 184–191. ISBN: 978-3-319-70284-1.
[78]
C. Loitsch, G. Weber, N. Kaklanis, K. Votis, and D. Tzovaras. 2017. A knowledge-based approach to user interface adaptation from preferences and for special needs. User Model. User-Adapt. Interact. 27, 3–5, 445–491.
[79]
T.-C. Lu, C.-M. Fu, M. H.-M. Ma, C.-C. Fang, and A. M. Turner. 2016. Healthcare applications of smart watches: A systematic review. Appl. Clin. Inform. 7, 3, 850.
[80]
J. Luck, C. Chang, E. R. Brown, and J. Lumpkin. 2006. Using local health information to promote public health. Health Affairs 25, 4, 979–991.
[81]
R. Mahmud, R. Kotagiri, and R. Buyya. 2018. Fog Computing: A Taxonomy, Survey and Future Directions. Springer Singapore, Singapore, 103–130. ISBN: 978-981-10-5861-5.
[82]
L. Mainetti, V. Mighali, and L. Patrono. Dec. 2015. A software architecture enabling the web of things. IEEE Internet Things J. 2, 6, 445–454. ISSN: 2327-4662.
[83]
K. Maletsky. 2015. RSA vs. ECC Comparison for Embedded Systems. Atmel White Paper, Atmel-8951A-CryptoAuth-RSA-ECC-Comparison-Embedded-Systems-WhitePaper_07201.
[84]
J. A. Martínez, J. L. Hernández-Ramos, V. Beltrán, A. Skarmeta, and P. M. Ruiz. 2017. A user-centric internet of things platform to empower users for managing security and privacy concerns in the internet of energy. Int. J. Distrib. Sens. Netw. 13, 8, 1550147717727974.
[85]
D. H. McKnight, V. Choudhury, and C. Kacmar. 2002. Developing and validating trust measures for e-commerce: An integrative typology. Inf. Syst. Res. 13, 3, 334–359.
[86]
K. Mikhaylov, J. Petaejaejaervi, and T. Haenninen. 2016. Analysis of capacity and scalability of the LoRa low power wide area network technology. In Proceedings of the 22th European Wireless Conference. IEEE, 1–6.
[87]
A. Mpitziopoulos, D. Gavalas, C. Konstantopoulos, and G. Pantziou. 2009. A survey on jamming attacks and countermeasures in WSNs. IEEE Commun. Surv. Tutor. 11, 4, 42–56.
[88]
I. Mulder, Y. Schikhof, M. Vastenburg, A. Card, T. Dunn, A. Komninos, M. McGee-Lennon, M. Santcroos, G. Tiotto, M. Van Gils, et al. 2009. Designing with care: The future of pervasive healthcare. IEEE Pervas. Comput. 8, 4, 85–88.
[89]
S. Nousias, J. Lakoumentas, A. Lalos, D. Kikidis, K. Moustakas, K. Votis, and D. Tzovaras. 2016. Monitoring asthma medication adherence through content based audio classification. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 1–5.
[90]
S. Nousias, A. S. Lalos, G. Arvanitis, K. Moustakas, T. Tsirelis, D. Kikidis, K. Votis, and D. Tzovaras. 2018a. An mHealth system for monitoring medication adherence in obstructive respiratory diseases using content based audio classification. IEEE Access 6, 11871–11882.
[91]
S. Nousias, C. Tselios, D. Bitzas, O. Orfila, S. Jamson, P. Mejuto, D. Amaxilatis, O. Akrivopoulos, I. Chatzigiannakis, A. S. Lalos, and K. Moustakas. 2018b. Managing nonuniformities and uncertainties in vehicle-oriented sensor data over next generation networks. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, Athens, Greece, March 19–23, 2018. IEEE, 272–277.
[92]
S. Okazaki, H. Li, and M. Hirose. 2009. Consumer privacy concerns and preference for degree of regulatory control. J. Advert. 38, 4, 63–77.
[93]
C. O’Neil, M. D. Dunlop, and A. Kerr. 2015. Supporting sit-to-stand rehabilitation using smartphone sensors and arduino haptic feedback modules. In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI’15. ACM, New York, NY, USA, 811–818. ISBN: 978-1-4503-3653-6.
[94]
P. Pannuto, Y. Lee, Y.-S. Kuo, Z. Foo, B. Kempke, G. Kim, R. G. Dreslinski, D. Blaauw, and P. Dutta. 2015. MBus: An ultra-low power interconnect bus for next generation nanopower systems. In 2015 ACM/IEEE 42nd Annual International Symposium on Computer Architecture (ISCA). IEEE, 629–641.
[95]
P. Pannuto, Y. Lee, Y. Kuo, Z. Foo, B. Kempke, G. Kim, R. G. Dreslinski, D. Blaauw, and P. Dutta. May. 2016. MBus: A system integration bus for the modular microscale computing class. IEEE Micro 36, 3, 60–70. ISSN: 0272-1732.
[96]
P. A. Pavlou. 2011. State of the information privacy literature: where are we now and where should we go? MIS Quarterly 35, 4, 977–988.
[97]
C. Perera, A. Zaslavsky, P. Christen, and D. Georgakopoulos. 2014. Context aware computing for the internet of things: A survey. IEEE Commun. Surv. Tutor. 16, 1, 414–454.
[98]
D. Pfisterer, K. Römer, D. Bimschas, O. Kleine, R. Mietz, C. Truong, H. Hasemann, A. Kröller, M. Pagel, M. Hauswirth, M. Karnstedt, M. Leggieri, A. Passant, and R. Richardson. 2011. SPITFIRE: toward a semantic web of things. IEEE Commun. Mag. 49, 11, 40–48.
[99]
D. Pfisterer, M. Radonjic-Simic, and J. Reichwald. 2016. Business model design and architecture for the internet of everything. J. Sens. Actuator Netw. 5, 2. ISSN: 2224-2708. http://www.mdpi.com/2224-2708/5/2/7.
[100]
E. Pippa, I. Mporas, and V. Megalooikonomou. 2016. Feature selection evaluation for light human motion identification in frailty monitoring system. In ICT4AgeingWell, 88–95.
[101]
M. E. Porter and J. E. Heppelmann. Oct. 2015. How smart, connected products are transforming companies. Harv. Bus. Rev. 93, 10, 53–71. ISSN: 0017-8012. https://hbr.org/2015/10/how-smart-connected-products-are-transforming-companies.
[102]
S. Preibusch. 2013. Guide to measuring privacy concern: Review of survey and observational instruments. Int. J. Hum.-Comput. Stud. 71, 12, 1133–1143.
[103]
B. A. Price, K. Adam, and B. Nuseibeh. 2005. Keeping ubiquitous computing to yourself: a practical model for user control of privacy. Int. J. Hum.-Comput. Stud. 63, 1, 228–253.
[104]
D. Qi, Z. Liu, W. R. Leow, and X. Chen. 2017. Elastic substrates for stretchable devices. MRS Bull. 42, 2, 103–107.
[105]
U. Raza, P. Kulkarni, and M. Sooriyabandara. 2017. Low power wide area networks: An overview. IEEE Commun. Surv. Tutor. 19, 2, 855–873.
[106]
B. Reeder and A. David. 2016. Health at hand: a systematic review of smart watch uses for health and wellness. J. Biomed. Inform. 63, 269–276.
[107]
D. Ringas, E. Christopoulou, and M. Stefanidakis. 2011a. CLIO: Blending the collective memory with the urban landscape. In Proceedings of the 10th International Conference on Mobile and Ubiquitous Multimedia. ACM, 185–194.
[108]
D. Ringas, E. Christopoulou, and M. Stefanidakis. 2011b. Urban memory in space and time. In Handbook of Research on Technologies and Cultural Heritage: Applications and Environments. IGI Global, 325–340.
[109]
S. Robinson, P. Eslambolchilar, and M. Jones. 2008. Point-to-GeoBlog: Gestures and sensors to support user generated content creation. In Proceedings of the 10th International Conference on Human Computer Interaction with Mobile Devices and Services, MobileHCI’08. ACM, New York, NY, USA, 197–206. ISBN: 978-1-59593-952-4.
[110]
S. Robinson, P. Eslambolchilar, and M. Jones. 2009. Sweep-shake: Finding digital resources in physical environments. In Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI’09. ACM, New York, NY, USA, 12:1–12:10. ISBN: 978-1-60558-281-8.
[111]
I. Rodríguez-Rodríguez, M.-A. Zamora-Izquierdo, and J.-V. Rodríguez. 2018. Towards an ICT-based platform for type 1 diabetes mellitus management. Appl. Sci. 8, 4. ISSN: 2076-3417. http://www.mdpi.com/2076-3417/8/4/511.
[112]
I. Rodríguez-Rodríguez, I. Chatzigiannakis, J.-V. Rodríguez, M. Maranghi, M. Gentili, and M.-A. Zamora-Izquierdo. 2019a. Utility of big data in predicting short-term blood glucose levels in type 1 diabetes mellitus through machine learning techniques. Sensors 19, 20, 4482. ISSN: 1424-8220. https://www.mdpi.com/1424-8220/19/20/4482.
[113]
I. Rodríguez-Rodríguez, J.-V. Rodríguez, I. Chatzigiannakis, and M.-A. Zamora Izquierdo. 2019b. On the possibility of predicting glycaemia ‘on the fly’ with constrained IoT devices in type 1 diabetes mellitus patients. Sensors 19, 20, 4538. ISSN: 1424-8220. https://www.mdpi.com/1424-8220/19/20/4538.
[114]
A.-R. Sadeghi, C. Wachsmann, and M. Waidner. 2015. Security and privacy challenges in industrial internet of things. In 2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC). IEEE, 1–6.
[115]
L. Sanchez, L. Muñoz, J. A. Galache, P. Sotres, J. R. Santana, V. Gutierrez, R. Ramdhany, A. Gluhak, S. Krco, E. Theodoridis, and D. Pfisterer. 2014. SmartSantander: IoT experimentation over a smart city testbed. Comput. Netw. 61, 217–238. ISSN: 1389-1286. http://www.sciencedirect.com/science/article/pii/S1389128613004337.
[116]
R. Sanchez-Iborra, J. Sanchez-Gomez, J. Ballesta-Viñas, M.-D. Cano, and A. F. Skarmeta. 2018. Performance evaluation of LoRa considering scenario conditions. Sensors 18, 3. ISSN: 1424-8220. http://www.mdpi.com/1424-8220/18/3/772.
[117]
G. Santos. 2017. Road transport and Co2 emissions: What are the challenges? Transport Policy 59, 71–74.
[118]
B. R. Schlichter and J. Rose. 2013. Trust dynamics in a large system implementation: Six theoretical propositions. Eur. J. Inform. Syst. 22, 4, 455–474.
[119]
S. Schneegass and O. Amft (Eds.). 2017. Smart Textiles – Fundamentals, Design, and Interaction. Human-Computer Interaction Series. Springer. ISBN: 978-3-319-50123-9.
[120]
W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu. Oct. 2016. Edge computing: Vision and challenges. IEEE Internet Things J. 3, 5, 637–646. ISSN: 2327-4662.
[121]
E. H. Shortliffe. 2005. Strategic action in health information technology: Why the obvious has taken so long. Health Affairs 24, 5, 1222–1233.
[122]
D. Spelmezan. 2012. An investigation into the use of tactile instructions in snowboarding. In Proceedings of the 14th International Conference on Human-Computer Interaction with Mobile Devices and Services. ACM, 417–426.
[123]
D. Spelmezan, M. Jacobs, A. Hilgers, and J. Borchers. 2009. Tactile motion instructions for physical activities. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2243–2252.
[124]
S. E. Stahl, H.-S. An, D. M. Dinkel, J. M. Noble, and J.-M. Lee. 2016. How accurate are the wrist-based heart rate monitors during walking and running activities? Are they accurate enough? BMJ Open Sport Exerc. Med. 2, 1, e000106.
[125]
T. Starner. 1996. Human-powered wearable computing. IBM Syst. J. 35, 3/4, 618–629.
[126]
S. Stavrotheodoros, N. Kaklanis, K. Votis, and D. Tzovaras. 2018. A smart-home IoT infrastructure for the support of independent living of older adults. In Artificial Intelligence Applications and Innovations – AIAI 2018 IFIP WG 12.5 International Workshops, SEDSEAL, 5G-PINE, MHDW, and HEALTHIOT, Rhodes, Greece, May 25–27, 2018, Proceedings, 238–249.
[127]
L. Steinfeld and K. S. Archuleta. 2006. Privacy protection and compliance in higher education: The role of the CPO. EDUCAUSE Rev. 41, 5, 62.
[128]
S. Tams and K. Hill. 2017. Helping an old workforce interact with modern IT: A NeuroIS approach to understanding technostress and technology use in older workers. In Information Systems and Neuroscience, F. D. Davis, R. Riedl, J. vom Brocke, P.-M. Léger, and A. B. Randolph (Eds.). Springer International Publishing, Cham, 19–26. ISBN: 978-3-319-41402-7.
[129]
S. Trepte, T. Dienlin, and L. Reinecke. 2013. Privacy, Self-Disclosure, Social Support, and Social Network Site Use. University of Hohenheim, Stuttgart.
[130]
B. Varghese, N. Wang, S. Barbhuiya, P. Kilpatrick, and D. S. Nikolopoulos. Nov. 2016. Challenges and opportunities in edge computing. In 2016 IEEE International Conference on Smart Cloud (SmartCloud). IEEE, 20–26.
[131]
N. Varsier and J. Schwoerer. 2017. Capacity limits of LoRaWAN technology for smart metering applications. In Proceedings of the IEEE International Conference on Communications. IEEE, 1–6.
[132]
K. Votis, A. S. Lalos, K. Moustakas, and D. Tzovaras. 2015. Analysis, modelling and sensing of both physiological and environmental factors for the customized and predictive self-management of asthma. In 6th Panhellenic Conference of Biomedical Technology, Athens.
[133]
T. Wang, H. Yang, D. Qi, Z. Liu, P. Cai, H. Zhang, and X. Chen. 2017. Mechano-based transductive sensing for wearable healthcare. Small 14, 11, 1702933. https://onlinelibrary.wiley.com/doi/abs/10.1002/smll.201702933.
[134]
J. Woo. 2006. The right not to be identified: Privacy and anonymity in the interactive media environment. New Media Soc. 8, 6, 949–967.
[135]
Q. Zheng, B. Shi, F. Fan, X. Wang, L. Yan, W. Yuan, S. Wang, H. Liu, Z. Li, and Z. L. Wang. 2014. In vivo powering of pacemaker by breathing-driven implanted triboelectric nanogenerator. Adv. Mater. 26, 33, 5851–5856.
[136]
N. Zhu, A. Anagnostopoulos, and I. Chatzigiannakis. 2018. On mining IoT data for evaluating the operation of public educational buildings. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, Athens, Greece, March 19–23, 2018. IEEE, 278–283.

Cited By

View all
  • (2024)Energy Efficient Hybrid Evolutionary Algorithm for Internet of Everything (IoE)-Enabled 6GIEEE Access10.1109/ACCESS.2024.339093912(63839-63852)Online publication date: 2024
  • (2023)Digitalisierung der Unternehmensberatung: Eine multiperspektivische Analyse aus Sicht von Kunden- und BeratungsunternehmenManagementforschung10.1007/978-3-658-38821-8_6(239-344)Online publication date: 20-Jun-2023
  • (2021)Design, Analysis, and Experimental Evaluation of a New Secure Rejoin Mechanism for LoRaWAN Using Elliptic-Curve CryptographyJournal of Sensor and Actuator Networks10.3390/jsan1002003610:2(36)Online publication date: 18-Jun-2021

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Books
Intelligent Computing for Interactive System Design: Statistics, Digital Signal Processing, and Machine Learning in Practice
February 2021
474 pages
ISBN:9781450390293
DOI:10.1145/3447404

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 February 2021

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Chapter

Appears in

ACM Books

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)1
  • Downloads (Last 6 weeks)0
Reflects downloads up to 30 Dec 2024

Other Metrics

Citations

Cited By

View all
  • (2024)Energy Efficient Hybrid Evolutionary Algorithm for Internet of Everything (IoE)-Enabled 6GIEEE Access10.1109/ACCESS.2024.339093912(63839-63852)Online publication date: 2024
  • (2023)Digitalisierung der Unternehmensberatung: Eine multiperspektivische Analyse aus Sicht von Kunden- und BeratungsunternehmenManagementforschung10.1007/978-3-658-38821-8_6(239-344)Online publication date: 20-Jun-2023
  • (2021)Design, Analysis, and Experimental Evaluation of a New Secure Rejoin Mechanism for LoRaWAN Using Elliptic-Curve CryptographyJournal of Sensor and Actuator Networks10.3390/jsan1002003610:2(36)Online publication date: 18-Jun-2021

View Options

Login options

Full Access

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media