Coverage-Balancing User Selection in Mobile Crowd Sensing with Budget Constraint
نویسندگان
چکیده
منابع مشابه
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. 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 کاملSocial Incentive Mechanism Based Multi-User Sensing Time Optimization in Co-Operative Spectrum Sensing with Mobile Crowd Sensing
Co-operative spectrum sensing emerging as a significant method to improve the utilization of the spectrum needs sufficient sensing users to participate. Existing related papers consider only the limited secondary users in current sensing system and assume that they will always perform the co-operative spectrum sensing out of obligation. However, this assumption is impractical in the realistic s...
متن کاملWhen User Interest Meets Data Quality: A Novel User Filter Scheme for Mobile Crowd Sensing
Mobile crowd sensing has become a promising paradigm for mobile users to collect information. Considering that the task information push is not free and there are many users who are not interested in the current task or provide noisy sensing data, one of the imminent problems is how to recommend high-quality and interested users in real time and steer participators to collect data with adequate...
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 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: Sensors
سال: 2019
ISSN: 1424-8220
DOI: 10.3390/s19102371