New ACM IOT Publication

Internet of Things (TIOT)

publishes novel research contributions and experience reports in research domains whose synergy and interrelations enable the IoT vision

 ACM Transactions on Internet of Things (TIOT) is a new ACM journal that will publish novel research contributions and experience reports in several research domains whose synergy and interrelations enable the IoT vision. TIOT focuses on system designs, end-to-end architectures, and enabling technologies, and on publishing results and insights corroborated by a strong experimental component.  The submission site is now open and the first issue is expected for publication in the second half of 2019.

Topics relevant to the journal are:

Real-world applications, application designs, industrial case studies and user experiences of IoT technologies, including standardization and social acceptance

Communication networks, protocols, and interoperability for IoT

IoT data analytics, machine learning, and associated Web technologies

Wearable and personal devices, including sensor technologies

Human-machine and machine-machine interactions

Edge, fog, and cloud computing architectures

Novel IoT software architectures, services, middleware as well as future Internet designs

Fusion of social and physical signals in IoT services

Non-functional properties of IoT systems, e.g., dependability, timeliness, security and privacy, robustness

Testbeds for IoT
All submissions are expected to provide experimental evidence of their effectiveness in realistic scenarios (e.g., based on field deployments or user studies), and the related datasets. The submission of purely theoretical or speculative papers is discouraged, and so is the use of simulation as the sole form of experimental validation.

Experience reports about the use or adaptation of known systems and techniques in real-world applications are equally welcome, as these studies elicit precious insights for researchers and practitioners alike. For this type of submissions, the depth, rigor, and realism of the experimental component are key, along with the analysis and expected impact of the lessons learned.   .... "