 |
 |
Dear Colleagues, Our apologies if you received multiple copies of this CFP. Please note the deadline in one week. Call for papers IEEE Communications Magazine - Feature Topic on People-centric Internet of Things This CFP can be accessed via the link: http://www.comsoc.org/commag/cfp/people-centric-internet-things --------------------------------------------------------------------------------------------------------- FEATURE TOPIC PEOPLE-CENTRIC INTERNET OF THINGS CALL FOR PAPERS Internet of Things (IoT) is designed to operate in conjunction with and in service of people. Therefore, people can be viewed as an integral part of the IoT ecosystem. Although considerable work has been done in the recent past regarding IoT, many challenges have remained. In fact, most technologies and solutions for accessing real-world information are either closed, platform-specific, or application-specific. Recent efforts to define IoT reference architectures, such as IoT-A, OpenIoT, SENSEI, or FI-WARE, are important steps in the right direction, but they still lack features that are important for people-centric applications, such as adaptability, intuitiveness, and integration capabilities. So, on one hand, there is need to define an IoT architecture that goes beyond vertical solutions by integrating all required technologies and components into a common, open and multi-application platform. On the other hand, there is need to develop a set of common building blocks, middleware and services that can be used to construct people-oriented applications in an open, dynamic and more effective way into smart environments including but not restricted to smart cities, businesses, education and e-health. This Feature Topic solicits technical papers describing original, previously unpublished research, not currently under review by another conference or journal, pertaining to People-Centric Internet of Things, including architectural aspects, middleware, and applications. It provides a forum for a broad range of unsolicited high quality scientific research papers that meet the criteria of originality, presentation quality and topic relevance. Submissions should clearly identify how they relate to topics under consideration in this special issue. Contributions describing an overall working system and reporting real world deployment experiences are particularly of interest. This Feature Topic will focus on several topics such as: - People-IoT Interactions - Social Network Applications to Mobile Computing - Context-Aware Applications and Services - Human in the Loop - Big Data Analysis in People-centric IoT - Cloud-based People-centric IoT Applications and Environments - Security and Privacy - Prototypes, Field Experiments, Testbeds SUBMISSIONS Articles should be tutorial in nature and written in a style comprehensible to readers outside the specialty of the article. Authors must follow the IEEE Communications Magazine's guidelines for preparation of the manuscript. Complete guidelines for prospective authors can be found athttp://www.comsoc.org/commag/paper-submission-guidelines . It is very important to note that the IEEE Communications Magazine strongly limits mathematical content, and the combined number of figures and tables to six. Manuscript length (introduction through conclusions, excluding figures, tables and captions) should not exceed 4,500 words. Manuscripts should be submitted through Manuscript Central at http://commag-ieee.manuscriptcentral.com/ by the manuscript submission deadline. Please select “February 2017 / People-Centric IoT” in the drop down menu. For further details, please refer to 'Information for Authors' on the IEEE Communications Magazine web site at http://www.comsoc.org/pubs/commag/sub_guidelines.html. IMPORTANT DATES Manuscript Submission: July 15, 2016 Decision Notification: September 15, 2016 Final Manuscripts Due: November 15, 2016 Publication Date: February 2017 GUEST EDITORS Jorge Sá Silva, University of Coimbra, Portugal [log in to unmask] Pei Zhang, Carnegie Mellon University, USA [log in to unmask] Trevor Pering, Google, USA [log in to unmask] Fernando Boavida, University of Coimbra, Portugal [log in to unmask] Takahiro Hara, Osaka University, Japan [log in to unmask] Nicolas C. Liebau, SAP AG, Germany [log in to unmask]