-------- Weitergeleitete Nachricht -------- Betreff: [InternetTC] [CFP] CrowdSenCity 2025, co-located with MDM 2025 Datum: Tue, 11 Feb 2025 11:42:59 +0000 Von: Federico Montori federico.montori2@UNIBO.IT An: itc@COMSOC.ORG
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The 3rd International Workshop on Mobile Crowdsensing for Smart Cities (CrowdSenCity 2025) Irvine, USA 2-5 June 2025 - with MDM 2025 Website: https://sites.google.com/view/crowdsencity2025/home https://sites.google.com/view/crowdsencity2025/home
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 perform certain agreed tasks. With the omnipresence of IoT, underpinned by mobile smart devices, MCS 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 MCS.
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 MCS 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:
March 20th 2025 - Paper Submission Deadline
April 17th 2025 - Notification of Acceptance
April 25th 2025 - Camera Ready Submission Deadline
Federico Montori Senior Assistant Professor University of Bologna, Italy IoT Prism Lab ---------------------------------------------------------------------------
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