Mobile CrowdSensing (MCS) is an emerging paradigm in the distributed acquisition of smart
city and Internet of Things (IoT) data. MCS requires large number of users to enable access …

The urban environmental planning, a fundamental dynamic process for cities' sustainability,
could benefit from the soundscape approach, dealing with the perception of the acoustic …

Heterogeneous and dynamic IoT environments require a lightweight, scalable, and
trustworthy access control system for protection from unauthorized access and for automated …

Mobile crowdsourcing (MCS) has become an effective data collection method due to its
mobility, low cost, and flexibility. However, since centralized MCS confronts severe security …

In mobile crowdsensing, finding the best match between tasks and users is crucial to ensure
both the quality and effectiveness of a crowdsensing system. Existing works usually assume …

The unprecedented proliferation of mobile smart devices has propelled a promising
computing paradigm, Mobile Crowd Sensing (MCS), where people share surrounding …

Advancements in wireless communication and availability of miniaturized, battery powered
micro electronics devices have revolutionized the trend of computation and communication …

Mobile crowdsensing (MCS) is an emerging data acquisition technique that combines
crowdsourcing with mobile devices to collect massive data in a cost-satisfactory manner …

Nowadays, with the rapid developments of the Internet of Things, the information on physical
entities has shown explosive growth. The emergence of Internet of Things search …

Participatory sensing refers to the sensing paradigm where human participants use personal
mobile devices to generate and share data from their surroundings. It holds the promise of …