Call for Papers
The Internet of Things (IoT) paradigm is growing at a significant pace and several services are now built on the data obtained from connected smart objects. The emerging IoT paradigm with the Big Data paradigm provides the foundations to extract common knowledge from data made available by humans, institutions, or smart objects for supporting decision-making. The paradigms of Crowdsourcing and Mobile Crowdsensing (MCS) have long been used to seek contributions from a crowd of participants who commit to performing certain agreed tasks. With the omnipresence of IoT, underpinned by mobile smart devices, IoT-Crowdsensing (IoT-CS) is gaining increased interest where smart mobile devices and IoT devices undertake the task of collecting data about phenomena of interest.
Although fascinating and potentially disruptive, this paradigm inherently carries a set of technical challenges at various levels, which should be studied by different research communities: battery efficiency, efficient participant recruiting, data aggregation and processing, data quality, incentivization techniques, mobility, application semantics, and privacy to name some of the hot facets of IoT-CS.
In line with such objectives, this workshop aims to provide a platform for researchers and practitioners to discuss and share the current and emerging state-of-the-art, challenges and solutions in IoT-CS specifically targeting Smart Cities. We solicit original contributions in topics of interest including, but not limited to, the following:
Energy efficiency in MCS services and applications
Protocols enhancement for crowdsensed services
Social Internet of things
Big data semantics
Data science for MCS services
Environmental Monitoring
Opportunistic MCS services
Rewarding mechanism for MCS services
Fog computing for Collaborative IoT
Heterogeneous data aggregation
Machine learning techniques for data aggregation
Machine learning techniques for data classification
MCS testbeds and platforms
NLP techniques for crowdsensed services
Privacy for crowdsensed data
User behavior classification from public data
User activity recognition
User profiling
Important dates are reported below:
May 3rd 2023 - Paper Submission Deadline
May 12th 2023 - Notification of Acceptance
May 26th 2023 - Camera Ready Submission Deadline