An Architectural Approach Towards the Future Internet of Things
By D. Uckelmann, M. Harrison, Florian Michahelles. Architecting the Internet of Things, 2011
461 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/85ae6d8fd73beeeea1a0b8372b5af13ef8f2a105
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Ling Xia Li
- Valerio Persico
- Antonio Pescapè
- Eric L. Xu
- Giuseppe Aceto
- Dusist Niyato
- Zhu Han
- Dong In Kim
In Computer Vision and Pattern Recognition
- Justin Lipman
- Wei Ni
- Zhu Han
- Laurence Tianruo Yang
- Dusist Niyato
- Mehran Abolhasan
- Ren Ping Liu
- Dinh Thai Hoang
Citations in the corpus
- Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare (2018, background): “With examples described above, benefits of adopting IoT eHealth can be summed up as follows [1], [2], [19], [10], [16], [17], [20], [12], [14], [13]: • All-encompassing: whether people use IoT eHealth for health, exercise, safety or beauty reasons, it has a holistic solution for everyone needs.”
- On micro-services architecture (2014, background): “Services can communicate with some lightweight mechanisms (usually it is something around HTTP) [1].”
- Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey (2016, background): “To support the above features, several IoT architectures have been proposed [2], [5], [18], [19].”
- Data Mining for Internet of Things: A Survey (2014, background): “• Objective (O): The assumptions, limitations, and measurements of the problem need to be specified first so as to precisely define the problem to be solved.”
- A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges (2019, background): “Regarding other enablers, research has also acknowledged the driving force of FLOSS, for the IoT specifically [178], for Robotics [179], Additive Manufacturing [180], Cloud Computing [111], and Big Data [182].”
- Virtualization of food supply chains with the internet of things (2016, background): “The Internet acts as a storage and communication infrastructure that holds a virtual representation of things linking relevant information with the object (Uckelmann et al., 2011).”
- The Internet of Things—A survey of topics and trends (2014, background): “…Evdokimov et al. 2010; Han et al. 2010; Koshizuka and Sakamura 2010; Ning et al. 2007; Pujolle 2006; Quack et al. 2008; Silverajan and Harju 2009; Uckelmann et al. 2011; Yun and Yuxin 2010; Zhang et al. 2010; Zorzi et al. 2010; Zouganeli and Svinnset 2009) Software architectures (Castellani et…”
- Anatomy of Threats to the Internet of Things (2019, background): “All the data collection and data sensing is done at this layer [37].”
- Industry 4.0: state of the art and future trends (2018, background): “…include RFID and WSN, and other relevant technologies such as barcodes, smart phones, cloud computing, location-based service, SOA, near fi eld communication and social networks (Uckelmann, Harrison, and Michahelles 2011; Li, Xu, et al. 2012; Tao et al. 2013; Wang et al. 2014; Xu, He, and Li 2014).”
- A unified perspective on the factors influencing consumer acceptance of internet of things technology (2014, background): “Literature review IoT technology The IoT describes objects that are able to communicate via the internet (Uckelmann et al., 2011).”
- Internet of Things in Industries: A Survey (2014, unknown): “An SOA-IoT allows applications to use heterogeneous objects as compatible services [11].”
- Digital twins in smart farming (2021, background): “The Internet acts as a storage and communication infrastructure that holds a virtual representation of things linking relevant information with the object (Uckelmann et al., 2011).”