Results 41 to 50 of about 2,878,093 (315)

Mapping Urban Environmental Noise Using Smartphones

open access: yesSensors, 2016
Noise mapping is an effective method of visualizing and accessing noise pollution. In this paper, a noise-mapping method based on smartphones to effectively and easily measure environmental noise is proposed.
Jinbo Zuo   +3 more
doaj   +1 more source

A trajectory-based recruitment strategy of social sensors for participatory sensing [PDF]

open access: yes, 2016
Participatory sensing, a promising sensing paradigm, enables people to collect and share sensor data on phenomena of interest using mobile devices across many applications, such as smart transportation and air quality monitoring.
Hao, F, Jiao, M, Min, Geyong, Yang, LT
core   +1 more source

Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors

open access: yesIEEE Transactions on Mobile Computing, 2019
This paper proposes a novel task allocation framework, PSTasker, for participatory sensing (PS), which aims to maximize the overall system utility on PS platform by coordinating the allocation of multiple tasks. While existing studies mainly optimize the
Jiangtao Wang   +5 more
semanticscholar   +1 more source

Fog Architectures and Sensor Location Certification in Distributed Event-Based Systems

open access: yesSensors, 2018
Since smart cities aim at becoming self-monitoring and self-response systems, their deployment relies on close resource monitoring through large-scale urban sensing.
Fátima Castro-Jul   +4 more
doaj   +1 more source

Measurements of a Real-time Transit Feed Service Architecture for Mobile Participatory Sensing [PDF]

open access: yes, 2013
—We spend a substantial part of our time with traveling, in crowded cities usually taking public transportation. It is important, making travel planning easier, to have accurate information about vehicle arrival times at the stops. Most of the public
Farkas, Károly   +2 more
core   +1 more source

Structural Reliability Estimation with Participatory Sensing and Mobile Cyber-Physical Structural Health Monitoring Systems

open access: yesApplied Sciences, 2019
With the help of community participants, smartphones can become useful wireless sensor network (WSN) components, form a self-governing structural health monitoring (SHM) system, and merge structural mechanics with participatory sensing and server ...
E. Ozer, M. Feng
semanticscholar   +1 more source

Bumbometer digital crowd game: collaboration through competition in entertainment events

open access: yesJournal on Interactive Systems, 2021
The use of mobile devices, especially smartphones, is widespread across all social strata and age groups, helping to ensure faster access from anywhere, data collection, and more regular and frequent control to aid urban, environmental, and social ...
Gustavo Martins   +7 more
doaj   +1 more source

Towards privacy-sensitive participatory sensing [PDF]

open access: yes2009 IEEE International Conference on Pervasive Computing and Communications, 2009
The ubiquity of mobile devices has brought forth the concept of participatory sensing, whereby ordinary citizens can now contribute and share information from the urban environment. However, such applications introduce a key research challenge: preserving the location privacy of the individuals contributing data.
Kuan Lun Huang, Salil S. Kanhere, Wen Hu
openaire   +1 more source

A Study on Mobile Crowd Sensing Systems for Healthcare Scenarios

open access: yesIEEE Access, 2023
Due to the growing capabilities of mobile phones and devices, mobile crowd sensing (MCS) is rapidly gaining popularity among researchers in different fields, given its ability to collect data at scale and low cost.
Enshi Zhang   +3 more
doaj   +1 more source

Differentially Private Mobile Crowd Sensing Considering Sensing Errors

open access: yesSensors, 2020
An increasingly popular class of software known as participatory sensing, or mobile crowdsensing, is a means of collecting people’s surrounding information via mobile sensing devices. To avoid potential undesired side effects of this data analysis method,
Yuichi Sei, Akihiko Ohsuga
doaj   +1 more source

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