Abstracts due: 22 January 2018
Full Manuscripts due: 29 January 2018
Publication date: October-December 2018
The Internet of Things is upon us. Falling technology costs; unparalleled development in complementary fields, such as embedded systems, mobile radios, cloud computing, and artificial intelligence; and massive investments from the industry and governments have all contributed to unleashing this new digital age. IoT describes the concept of an Internet that is no longer constrained to connecting digital artifacts; instead it embraces real-world objects and devices. This new Internet—where networks, data, and devices work seamlessly and intelligently together—has created an ecosystem that impacts every facet of our lives.
Over more than a decade, academic research efforts have developed embedded hardware, sensing algorithms, software frameworks, applications, and interaction paradigms for IoT. Joining a large number of academic institutions and their testbeds and pilot deployments, industrial stakeholders and business professionals have recently started creating their own interpretations of the term: the “Industrial Internet,” “Internet of Everything,” “Internet of Things and Services,” “Web of Things,” and others each emphasize a specific aspect of IoT. Together, they instigated the industrial IoT revolution.
This special issue focuses on real-world IoT deployments and on the approaches and challenges of implementing, deploying, and managing them, as well as their social acceptance. In particular, we solicit contributions that focus on the following aspects of real-world IoT deployments:
- Challenges of real-world IoT deployments in the Industry 4.0, industrial Internet, advanced manufacturing, building management, smart grid, and transportation domains.
- IoT applications and services: embedded intelligence applications that challenge the state of the art in fields such as agriculture, automotive, civil and industrial infrastructure monitoring and control, healthcare, and retail.
- IoT platforms and ecosystems: how different stakeholders collaborate and generate business value from interoperable applications and diverse streams of data.
- IoT architecture and interoperability: semantic integration of IoT systems and services and information architecture design, supporting mobility of functions and executions between edge devices and cloud infrastructure.
- IoT analytics : how machine learning and data analytics techniques shape real-world IoT systems.
- IoT case studies and experience reports of real-world deployments: evaluation of context reasoning, human-IoT user experiences, and business value, and insights into social acceptance of IoT systems.
- IoT platforms and development: user-level IoT programming concepts and tools and the integration of legacy systems, and testing and verification of real-world IoT installations.
The guest editors invite original and high-quality submissions addressing the technical challenges mentioned above, as long as the work reports insights gained from real-world deployments or, alternatively, emphasizes the relationship of the technical contribution to past, ongoing, or planned real-world IoT deployments. Review or summary articles in this context—for example, critical evaluations of the state of the art, or an insightful analysis of established and upcoming technologies—might be accepted if they demonstrate academic rigor and relevance.
Articles submitted to IEEE Pervasive Computing should not exceed 6,000 words, including all text, the abstract, keywords, bibliography, biographies, and table text. The word count should include 250 words for each table and figure. References should be limited to at most 15 citations (30 for survey papers).
For general author guidelines or submission details, see www.computer.org/pervasive/author.htm or email firstname.lastname@example.org.
To submit your article to our online peer-review system, go to Manuscript Central at https://mc.manuscriptcentral.com/pc-cs.
Special Issue Guest Editors
- Florian Michahelles, Siemens Corporation, Berkeley, US
- Fahim Kawsar, Nokia Bell Labs, Cambridge, UK, and TU Delft, The Netherlands
- Simon Mayer, TU Graz and Pro2Future, Austria
- Luca Mottola, Politecnico di Milano, Italy
Send paper title and abstract to email@example.com by 22 January 2018.