HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing
نویسندگان
چکیده
منابع مشابه
A Survey on Privacy in Mobile Crowd Sensing Task Management
Mobile crowd sensing enables a broad range of novel applications by leveraging mobile devices and smartphone users worldwide. While this paradigm is immensely useful, it involves the collection of detailed information from sensors and their carriers (i.e. participants) during task management processes including sensor recruitment and task distribution. Such information might compromise particip...
متن کاملMobile Crowd Sensing
People-centric sensing with smart phones can be used for large scale sensing of the physical world at low cost by leveraging the available sensors on the phones. Despite its benefits, mobile people-centric sensing has two main issues: (i) incentivizing the participants, and (ii) reliability of the sensed data. Unfortunately, the existing solutions to solve these issue either requires infrastruc...
متن کاملMobile Crowd Sensing Networks Technology
With the explosive popularization of the wireless mobile terminal devices, the combination of mobile sensing and crowdsourcing brings about a novel sensing paradigm of Internet of Things (IoT). By means of analyzing the data collected from mobile terminal, the crowd sensing can sense user’s situation intelligently and provide personalized service. It summarizes the latest researches both at hom...
متن کاملImproving Location Reliability in Mobile Crowd Sensing
People-centric sensing with smart phones can be used for large scale sensing of the physical world at low cost by leveraging the available sensors on the phones. However, the sensed data submitted by participants is not always reliable as they can submit false data to earn money without executing the actual task at the desired location. To address this problem, the authors propose ILR, a scheme...
متن کاملDynamic Data Driven Crowd Sensing Task Assignment
To realize the full potential of mobile crowd sensing, techniques are needed to deal with uncertainty in participant locations and trajectories. We propose a novel model for spatial task assignment in mobile crowd sensing that uses a dynamic and adaptive data driven scheme to assign moving participants with uncertain trajectories to sensing tasks, in a near-optimal manner. Our scheme is based o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Mobile Computing
سال: 2020
ISSN: 1536-1233,1558-0660,2161-9875
DOI: 10.1109/tmc.2019.2898950