Internet of Things, smart cities and edge/fog computing are representative examples of modern ICT paradigms that aim to describe a dynamic and global cooperative infrastructure built upon objects intelligence and self-configuring capabilities; these connected objects are finding their way into vehicles (smart-cars), urban areas (smart-cities), and infrastructure (smart-grid).
Objects need to be smart, with enough intelligence to perform required operations. On the one hand, the objects should be able to deal with the possibly unpredictable and intense mobility and can wirelessly communicate with each other in a reliable and secure way. On the other hand, these objects must be socially aware, as we have witnessed a big growth in provisioning social network services including messaging, gaming, advertising, recommending, commercing, and content sharing on mobile objects.
The HotSALSA workshop focuses on experiences with the design, implementation, deployment, operation, and evaluation of novel systems for smart objects and the social aspects of these systems in the emerging cooperative environments. We are seeking for original, previously unpublished work, addressing key issues and challenges in the social and mobile connected smart objects arena.
Authors are encouraged to submit papers describing original and unpublished research, not currently under review in other venues, addressing state-of-the-art research and development in all aspects of mobile computing, social networks, or the intersection of both. In particular, innovative, early-stage ideas and preliminary results are welcome. The length of the paper must be no more than 6 pages in the IEEE double-column format, including references. The first page must contain an abstract, the name(s) and affiliation(s) of the author(s). Each submission will receive at least three independent, single-blind peer reviews from the program committee. At least one of the authors of every accepted paper must register and present the paper at the workshop. The program committee will select one paper for the Best Paper Award.