Results 11 to 20 of about 1,506,800 (262)
Mobile crowdsensing with mobile agents [PDF]
Autonomous Agents and Multi-Agent Systems, 2015 We introduce mobile agents for mobile crowdsensing. Crowdsensing campaigns are designed through different roles that are implemented as mobile agents. The role-based tasks of mobile agents include collecting data, analyzing data and sharing data in the campaign.
Teemu Leppänen +4 more
openaire +4 more sources
Storage Management Strategy in Mobile Phones for Photo Crowdsensing
Sensors, 2020 In mobile crowdsensing, some users jointly finish a sensing task through the sensors equipped in their intelligent terminals. In particular, the photo crowdsensing based on Mobile Edge Computing (MEC) collects pictures for some specific targets or events
En Wang +6 more
doaj +3 more sources
The Accuracy-Privacy Trade-off of Mobile Crowdsensing [PDF]
IEEE Communications Magazine, 2017 8 pages, 5 ...
Mohammad Abu Alsheikh +5 more
openaire +3 more sources
In-network Collaborative Mobile Crowdsensing [PDF]
2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2020 Our work aims to make opportunistic crowdsensing a reliable means of detecting urban phenomena, as a component of smart city development. We believe that the optimal method for achieving this is by enforcing the cost-effective collection of high quality data. We then investigate a supporting middleware solution that reduces both the network traffic and
Yifan Du 0001 +2 more
openaire +4 more sources
SybilEye: Observer-Assisted Privacy-Preserving Sybil Attack Detection on Mobile Crowdsensing
Information, 2020 Mobile crowdsensing is a data collection system using widespread mobile devices with various sensors. The data processor cannot manage all mobile devices participating in mobile crowdsensing.
Junhyeok Yun, Mihui Kim
doaj +2 more sources
A Generic Framework for Mobile Crowdsensing: A Comprehensive Survey
IEEE AccessMobile Crowdsensing (MCS) has emerged as a powerful paradigm for aggregating sensory data through the collaborative efforts of various mobile devices. Despite the innovative solutions inherent in this paradigm, it also introduces new challenges.
Abderrafi Abdeddine +2 more
doaj +2 more sources
Mobile Crowdsensing in Ecological Momentary Assessment mHealth Studies: A Systematic Review and Analysis. [PDF]
Sensors (Basel)As mobile devices have become a central part of our daily lives, they are also becoming increasingly important in research. In the medical context, for example, smartphones are used to collect ecologically valid and longitudinal data using Ecological ...
Kraft R, Reichert M, Pryss R.
europepmc +2 more sources
Mobile CrowdSensing Privacy [PDF]
, 2019 Information and communication technologies have been evolving rapidly, providing more and more alternative ways of accessing information, accessible through multiple paths and devices, transforming IoT into a giant digital system. This heterogeneous diversity ecosystem allows travel to the CrowdSensing era.
Teresa Guarda +2 more
openaire +2 more sources
Privacy Preserving and Cost Optimal Mobile Crowdsensing using Smart Contracts on Blockchain [PDF]
, 2018 The popularity and applicability of mobile crowdsensing applications are continuously increasing due to the widespread of mobile devices and their sensing and processing capabilities.
Chatzopoulos, D. +11 more
core +2 more sources
Data-Centric Mobile Crowdsensing [PDF]
IEEE Transactions on Mobile Computing, 2018 Mobile crowdsensing (MCS) is a promising sensing paradigm that leverages the diverse embedded sensors in massive mobile devices. A key objective in MCS is to efficiently schedule mobile users to perform multiple sensing tasks. Prior work mainly focused on interactions between the task-layer and the user-layer, without considering tasks' similar data ...
Changkun Jiang +3 more
openaire +2 more sources