Results 71 to 80 of about 5,365 (199)

Distributed Time-Sensitive Task Selection in Mobile Crowdsensing

open access: yes, 2015
With the rich set of embedded sensors installed in smartphones and the large number of mobile users, we witness the emergence of many innovative commercial mobile crowdsensing applications that combine the power of mobile technology with crowdsourcing to
Cheung, Man Hon   +3 more
core   +1 more source

Underwater Instant Adhesive Hydrogel Interfaces for Robust Biosensing on Diverse Species

open access: yesAdvanced Science, Volume 12, Issue 43, November 20, 2025.
An instant underwater adhesion hydrogel interface is constructed via a universal and facile molecular entanglement engineering through a roll‐to‐roll scalable manufacturing protocol, achieving rapid and strong interfacial toughness over 230 J•m−2 within 10 s.
Xueyin Chen   +10 more
wiley   +1 more source

A privacy-preserving collaborative reputation system for mobile crowdsensing

open access: yesInternational Journal of Distributed Sensor Networks, 2018
Mobile crowdsensing is an emerging technology in which participants contribute sensor readings for different sensing applications. This technology enables a broad range of sensing applications by utilizing smartphones and tablets worldwide to improve ...
Bayan Hashr Alamri   +2 more
doaj   +1 more source

Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform

open access: yesSensors, 2020
Smart sensors and smartphones are becoming increasingly prevalent. Both can be used to gather environmental data (e.g., noise). Importantly, these devices can be connected to each other as well as to the Internet to collect large amounts of sensor data ...
Robin Kraft   +9 more
doaj   +1 more source

A Survey of Sparse Mobile Crowdsensing: Developments and Opportunities

open access: yesIEEE Open Journal of the Computer Society, 2022
Sparse mobile crowdsensing (SMCS) has emerged as a promising sensing paradigm for urban sensing, leveraging the spatial and temporal correlation among data sensed in distinct sub-areas to cut sensing expenses dramatically. It intelligently selects only a
Shiting Zhao   +5 more
doaj   +1 more source

Incentive Mechanisms for Participatory Sensing: Survey and Research Challenges

open access: yes, 2015
Participatory sensing is a powerful paradigm which takes advantage of smartphones to collect and analyze data beyond the scale of what was previously possible.
Das, Sajal K.   +2 more
core   +1 more source

Quality-Aware Pricing for Mobile Crowdsensing [PDF]

open access: yesIEEE/ACM Transactions on Networking, 2018
Mobile crowdsensing has been considered as a promising approach for large scale urban data collection, but has also posed new challenging problems, such as incentivization and quality control. Among the other incentivization approaches, posted pricing has been widely adopted by commercial systems due to the reason that it naturally achieves ...
Kai Han 0003   +2 more
openaire   +2 more sources

A semantically enabled architecture for interoperable edge‐cloud continuum applied to the e‐health scenario

open access: yesSoftware: Practice and Experience, Volume 55, Issue 3, Page 409-447, March 2025.
Abstract The progress made in the field of medicine and the consequent increase in the prospect of life have contributed to rise people's interest towards a healthier lifestyle. Fitness activity is becoming a must for those who aspire to live more and better.
Angelo Martella   +4 more
wiley   +1 more source

Bridge monitoring using mobile sensing data with traditional system identification techniques

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 5, Page 579-593, 17 February 2025.
Abstract Mobile sensing has emerged as an economically viable alternative to spatially dense stationary sensor networks, leveraging crowdsourced data from today's widespread population of smartphones. Recently, field experiments have demonstrated that using asynchronous crowdsourced mobile sensing data, bridge modal frequencies, and absolute mode ...
Liam Cronin   +4 more
wiley   +1 more source

MAIM: A Novel Incentive Mechanism Based on Multi-Attribute User Selection in Mobile Crowdsensing

open access: yesIEEE Access, 2018
In the user selection phase of mobile crowdsensing, most existing incentive mechanisms focus on either single-attribute selection or random selection, which possibly lead to serious consequences such as low user enthusiasm, decreased task completion rate,
Jinbo Xiong   +5 more
doaj   +1 more source

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