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相关论文: Incentive Mechanisms for Participatory Sensing: Su…

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Participatory Sensing is an emerging computing paradigm that enables the distributed collection of data by self-selected participants. It allows the increasing number of mobile phone users to share local knowledge acquired by their…

密码学与安全 · 计算机科学 2013-02-11 Emiliano De Cristofaro , Claudio Soriente

Crowd sensing is a new paradigm which leverages the pervasive smartphones to efficiently collect and upload sensing data, enabling numerous novel applications. To achieve good service quality for a crowd sensing application, incentive…

网络与互联网体系结构 · 计算机科学 2014-12-25 Jiajun Sun

Crowd sensing is a new paradigm which leverages the pervasive smartphones to efficiently collect sensing data, enabling numerous novel applications. To achieve good service quality for a crowd sensing application, incentive mechanisms are…

计算机科学与博弈论 · 计算机科学 2014-03-24 Jiajun Sun

Mobile crowd sensing (MCS) is a new paradigm which leverages the ubiquity of sensor-equipped mobile devices such as smartphones, music players, and in-vehicle sensors at the edge of the Internet, to collect data. The new paradigm will fuel…

网络与互联网体系结构 · 计算机科学 2014-10-01 Jiajun Sun

Crowd sensing is a new paradigm which leverages the ubiquity of sensor-equipped mobile devices to collect data. To achieve good quality for crowd sensing, incentive mechanisms are indispensable to attract more participants. Most of existing…

计算机科学与博弈论 · 计算机科学 2014-05-01 Jiajun Sun

Emergence of smartphone and the participatory sensing (PS) paradigm have paved the way for a new variant of pervasive computing. In PS, human user performs sensing tasks and generates notifications, typically in lieu of incentives. These…

网络与互联网体系结构 · 计算机科学 2018-08-30 Rajesh P Barnwal , Nirnay Ghosh , Soumya K Ghosh , Sajal K Das

Providing an adequate long-term participation incentive is important for a participatory sensing system to maintain enough number of active users (sensors), so as to collect a sufficient number of data samples and support a desired level of…

计算机科学与博弈论 · 计算机科学 2016-11-17 Lin Gao , Fen Hou , Jianwei Huang

As mobile devices have been ubiquitous, participatory sensing emerges as a powerful tool to solve many contemporary real life problems. Here, we contemplate the participatory sensing in online double auction environment by considering the…

计算机科学与博弈论 · 计算机科学 2017-06-27 Jaya Mukhopadhyay , Vikash Kumar Singh , Sajal Mukhopadhyay , Anita Pal

Mobile crowdsensing (MCS) has been intensively explored recently due to its flexible and pervasive sensing ability. Although many incentive mechanisms have been built to attract extensive user participation, Most of these mechanisms focus…

计算机科学与博弈论 · 计算机科学 2015-05-15 Jiajun Sun

Generative AI, such as image generation models and large language models, stands to provide tremendous value to end-user programmers in creative and knowledge workflows. Current research methods struggle to engage end-users in a realistic…

Mobile crowdsensing leverages mobile devices (e.g., smart phones) and human mobility for pervasive information exploration and collection; it has been deemed as a promising paradigm that will revolutionize various research and application…

网络与互联网体系结构 · 计算机科学 2013-08-22 Kai Han , Chi Zhang , Jun Luo

Mobile sensing is an emerging technology that utilizes agent-participatory data for decision making or state estimation, including multimedia applications. This article investigates the structure of mobile sensing schemes and introduces…

社会与信息网络 · 计算机科学 2016-11-15 Pin-Yu Chen , Shin-Ming Cheng , Pai-Shun Ting , Chia-Wei Lien , Fu-Jen Chu

Mobile crowdsensing harnesses the sensing power of modern smartphones to collect and analyze data beyond the scale of what was previously possible. In a mobile crowdsensing system, it is paramount to incentivize smartphone users to provide…

网络与互联网体系结构 · 计算机科学 2018-05-01 Francesco Restuccia , Pierluca Ferraro , Simone Silvestri , Sajal K. Das , Giuseppe Lo Re

The research on the efforts of combining human and machine intelligence has a long history. With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the…

人机交互 · 计算机科学 2014-01-15 Bin Guo , Zhiwen Yu , Daqing Zhang , Xingshe Zhou

Participatory sensing is emerging as an innovative computing paradigm that targets the ubiquity of always-connected mobile phones and their sensing capabilities. In this context, a multitude of pioneering applications increasingly carry out…

密码学与安全 · 计算机科学 2013-08-14 Emiliano De Cristofaro , Claudio Soriente

Vehicular mobile crowd sensing is a fast-emerging paradigm to collect data about the environment by mounting sensors on vehicles such as taxis. An important problem in vehicular crowd sensing is to design payment mechanisms to incentivize…

计算机科学与博弈论 · 计算机科学 2018-09-17 Susu Xu , Weiguang Mao , Yue Cao , Hae Young Noh , Nihar B. Shah

Crowd sensing is a new paradigm that leverages pervasive sensor-equipped mobile devices to provide sensing services like forensic analysis, documenting public spaces, and collaboratively constructing statistical models. Extensive user…

社会与信息网络 · 计算机科学 2015-05-26 Jiajun Sun

Rapid proliferation of mobile devices with various sensors have enabled Participatory Mobile Sensing (PMS). Several PMS platforms provide multiple functions for various sensing purposes, but they are suffering from the open issues: limited…

社会与信息网络 · 计算机科学 2022-08-24 Yuki Matsuda , Shogo Kawanaka , Hirohiko Suwa , Yutaka Arakawa , Keiichi Yasumoto

The idea of social participatory sensing provides a substrate to benefit from friendship relations in recruiting a critical mass of participants willing to attend in a sensing campaign. However, the selection of suitable participants who…

社会与信息网络 · 计算机科学 2013-08-07 Haleh Amintoosi , Salil S. Kanhere

Participatory sensing (PS) is a novel and promising sensing network paradigm for achieving a flexible and scalable sensing coverage with a low deploying cost, by encouraging mobile users to participate and contribute their smartphones as…

计算机科学与博弈论 · 计算机科学 2017-08-31 Xiaoyan Mo , Zhang Li , Lin Gao , Bin Cao , Tingting Zhang , Tong Wang
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