CrowdOS: A Ubiquitous Operating System for Crowdsourcing and Mobile Crowd Sensing

A Semi-supervised Sensing Rate Learning based CMAB scheme to combat COVID-19 by trustful data collection in the crowd

“…(1) Task requesters. Task requesters submit task requests to the platform, and also give the payment for completing the task [3] , [4] , [5] , [6] . (2) MCS Platform.…”

“…Mobile CrowdSensing (MCS) has emerged as a promising data sensing and collection paradigm, monitoring the real world through the vast amount of data obtained from embedded sensors in mobile devices [1] , [2] , [3] . The MCS typically consists of three organic components [4] , [5] , [6] : task requesters, data platform and workers. The requesters order their tasks to the platform [7] , [8] , and the platform publishes those tasks and recruits workers to complete them [9] , [10] , [11] .…”

ISIATasker: Task Allocation for Instant-SensingߝInstant-Actuation Mobile Crowdsensing

“…Many MCS platforms (e.g., [3], [6], [7]) have been developed and widely used in recent years. For example, the WeSense application in CrowdOS [3] platform is a well-known MCS platform, which has attracted a lot of users to publish or execute tasks on it. As a core part of many MCS platforms, task allocation has attracted much attention and been widely studied.…”

“…W ITH the proliferation of smart mobile devices, Mobile Crowd Sensing (MCS) [1] [2] has become a new sensing paradigm. Many MCS application platforms have been developed for academic research, industrial production or daily life, such as CrowdOS [3], GeoCrowd [4], Gigwalk [5], CommonSense [6] and FlierMeet [7]. Workers on these MCS platforms can sense and collect real-time data with their mobile devices (e.g., air quality [8], traffic information [9]).…”

On Enabling Mobile Crowd Sensing for Data Collection in Smart Agriculture: A Vision

“…The appearance of many crowdsensing applications or platforms poses huge challenges for maximizing the utility of sensing resources. For example, to solve the lack of a unified architecture and the incompatibility of algorithms in existing research, authors presented an operating system, CrowdOS [27].…”