Results 11 to 20 of about 5,841 (261)

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, Jose Alvarez Lacasia, Yoshito Tobe, Kaoru Sezaki, Jukka Riekki   +4 more
openaire   +4 more sources

Time-Efficient Allocation Mechanisms for Crowdsensing Tasks with Precedence Constraints

Sensors, 2019
Crowdsensing has emerged as an efficient and inexpensive way to perform specialized tasks by leveraging external crowds. In some crowdsensing systems, different tasks may have different requirements, and there may be precedence constraints among them ...
Xiaocan Wu, Yu-E Sun, He Huang, Yang Du, Danlei Huang   +4 more
doaj   +2 more sources

Hybrid Crowdsensing [PDF]

Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion, 2017
Crowdsensing systems can be either participatory or opportunistic, depending on whether the user intentionally contributes data, or she simply acts as the bearer of a sensing device from which data is transparently collected. In this paper, we propose hybrid crowdsensing, a social media-based paradigm which aims at combining the strengths of both ...
AVVENUTI, MARCO, Bellomo, S, Cresci, S, La Polla, MN, Tesconi, M.   +4 more
openaire   +5 more sources

Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation

CoRR
The precise characterization and modeling of Cyber-Physical-Social Systems (CPSS) requires more comprehensive and accurate data, which imposes heightened demands on intelligent sensing capabilities. To address this issue, Crowdsensing Intelligence (CSI) has been proposed to collect data from CPSS by harnessing the collective intelligence of a diverse ...
Wansen Wu, Weiyi Yang, Juanjuan Li, Yong Zhao, Zhengqiu Zhu, Bin Chen 0003, Sihang Qiu, Yong Peng, Fei-Yue Wang 0001   +8 more
openaire   +3 more sources

Sustainable Spectrum Crowdsensing [PDF]

2024 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)
Spectrum crowdsensing is a paradigm where participants upload their collected spectrum data to the cloud for extracting analytics. First movers like Microsoft Spectrum Observatory and Electrosense, though with support from leading industry, research, and government, still suffer from sustainability challenges.
Yijing Zeng, Bangya Liu, Yilong Li, Domenico Giustiniano, Suman Banerjee 0001   +4 more
openaire   +3 more sources

The Accuracy-Privacy Trade-off of Mobile Crowdsensing [PDF]

IEEE Communications Magazine, 2017
8 pages, 5 ...
Mohammad Abu Alsheikh, Yutao Jiao, Dusit Niyato, Ping Wang 0001, Derek Leong, Zhu Han 0001   +5 more
openaire   +3 more sources

Crowdsensing and Vehicle-Based Sensing [PDF]

Mobile Information Systems, 2016
Tavares De Araujo Cesariny Calafate, CM.; Wu, C.; Natalizio, E.; Martínez, FJ. (2016). Crowdsensing and Vehicle-Based Sensing (Editorial). Mobile Information Systems. 2016.
Carlos T. Calafate, Celimuge Wu, Enrico Natalizio, Francisco J. Martinez   +3 more
openaire   +4 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, Valérie Issarny, Françoise Sailhan   +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   +1 more source

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