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Autonomous and distributed recruitment and data collection framework for opportunistic sensing

Güliz Seray Tuncay, Giacomo Benincasa, Ahmed Helmy
2013 ACM SIGMOBILE Mobile Computing and Communications Review  
Opportunistic sensing is an approach that dynamically exploits the sensing resources offered by smart phones in order to collect data about a certain area.  ...  Participants are not expected to change their behavior in order to provide data to the sensing activity, and may contribute to the sensing only for a short fractions of time.  ...  Numerous approaches have been proposed to support people-centric sensing recruitment, however, most of them rely on registries that collect possible candidates for the sensing activities and therefore  ... 
doi:10.1145/2436196.2436219 fatcat:lthmyxkpqzgnjm2qgulobtt5im

The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition

Marc Kurz, Gerold Hölzl, Alois Ferscha, Alberto Calatroni, Daniel Roggen, Gerhard Tröster, Hesam Sagha, Ricardo Chavarriaga, José del R. Millán, David Bannach, Kai Kunze, Paul Lukowicz
2012 International Journal of Sensors Wireless Communications and Control  
We present the OPPORTUNITY Framework and Data Processing Ecosystem to recognize human activities or contexts in such opportunistic sensor configurations.  ...  We demonstrate OPPORTUNITY on a large-scale dataset collected to exhibit the sensor richness and related characteristics, typical of opportunistic sensing systems.  ...  ACKNOWLEDGEMENTS The project OPPORTUNITY acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission  ... 
doi:10.2174/2210327911101020102 fatcat:jb7upf4jkrez7bdhrzgjojpdwu

Mobile crowdsensing with mobile agents

Teemu Leppänen, José Álvarez Lacasia, Yoshito Tobe, Kaoru Sezaki, Jukka Riekki
2015 Autonomous Agents and Multi-Agent Systems  
Human mobility patterns, everyday actions and willingness to participate opportunistically extends the data collection and sensing coverage with possibly large numbers of devices [1, 4, 5, 18, 26, 36]  ...  Participant devices are then programmed for manual or automatic and context-aware data collection.  ...  The participant devices are aware of the sensing context and opportunistic store-carryand-forward method in used data collection: (1) the devices store the collected raw data until a mobile agent migrates  ... 
doi:10.1007/s10458-015-9311-7 fatcat:mbm4w4hs75h6lfssizcol6tgea

The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition

Marc Kurz, Gerold Holzl, Alois Ferscha, Alberto Calatroni, Daniel Roggen, Gerhard Troster, Hesam Sagha, Ricardo Chavarriaga, Jose del R. Millan, David Bannach, Kai Kunze, Paul Lukowicz
2012 International Journal of Sensors Wireless Communications and Control  
We present the OPPORTUNITY Framework and Data Processing Ecosystem to recognize human activities or contexts in such opportunistic sensor configurations.  ...  We demonstrate OPPORTUNITY on a large-scale dataset collected to exhibit the sensor richness and related characteristics, typical of opportunistic sensing systems.  ...  ACKNOWLEDGEMENTS The project OPPORTUNITY acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission  ... 
doi:10.2174/2210328711101020102 fatcat:hrq7dfhi2vbbfd2ejg2m2ejq6e

Cheating-Resilient Incentive Scheme for Mobile Crowdsensing Systems [article]

Cong Zhao, Xinyu Yang, Wei Yu, Xianghua Yao, Jie Lin, Xin Li
2017 arXiv   pre-print
Therefore, a mechanism is required for the system server to recruit well-behaving users for credible sensing, and to stimulate and reward more contributive users based on sensing truth discovery to further  ...  Mobile Crowdsensing is a promising paradigm for ubiquitous sensing, which explores the tremendous data collected by mobile smart devices with prominent spatial-temporal coverage.  ...  After receiving an announcement, a user who possessed data collected within ±60 seconds autonomously applied for the task, and then uploaded corresponding report if it was recruited.  ... 
arXiv:1701.01928v1 fatcat:e45uc2ihdfautaimplcnfp4rfq

Developing Agent-Based Smart Objects for IoT Edge Computing: Mobile Crowdsensing Use Case [chapter]

Teemu Leppänen, Claudio Savaglio, Lauri Lovén, Wilma Russo, Giuseppe Di Fatta, Jukka Riekki, Giancarlo Fortino
2018 Lecture Notes in Computer Science  
This scheme introduces challenges in handling dynamic opportunistic resource availability, due to mobility and unpredicted actions of the participants.  ...  Software agents have been exploited to handle the inherent dynamicity in the Internet of Things (IoT) systems, as agents are capable of autonomous, reactive and proactive operation in response to changes  ...  This work has been carried out under the framework of INTER-IoT, Research and Innovation action -Horizon 2020 European Project, Grant Agreement #687283, financed by the European Union.  ... 
doi:10.1007/978-3-030-02738-4_20 fatcat:ai5q4vpnmvfepoodk4avlpe5nu

A Self-Adaptive Behavior-Aware Recruitment Scheme for Participatory Sensing

Yuanyuan Zeng, Deshi Li
2015 Sensors  
The scheme is proposed to model the tempo-spatial behavior and data quality rating to select participants for participatory sensing campaign.  ...  In the paper, we propose a self-adaptive behavior-aware recruitment scheme for participatory sensing.  ...  He is responsible for part of the theoretical analysis and paper check. Conflicts of Interest The authors declare no conflict of interest.  ... 
doi:10.3390/s150923361 pmid:26389910 pmcid:PMC4610571 fatcat:sm6hd5v7grfnporvdzuteabrm4

A Survey on Mobile Crowdsensing Systems: Challenges, Solutions and Opportunities

Andrea Capponi, Claudio Fiandrino, Burak Kantarci, Luca Foschini, Dzmitry Kliazovich, Pascal Bouvry
2019 IEEE Communications Surveys and Tutorials  
For data collection, MCS systems rely on contribution from mobile devices of a large number of participants or a crowd.  ...  For this reason, MCS frameworks are specifically designed to include incentive mechanisms and address privacy concerns.  ...  [7] "opportunistic sensing" is defined as "On the other hand, opportunistic sensing is where the sensing is more autonomous and user involvement is minimal (e.g. continuous location sampling)".  ... 
doi:10.1109/comst.2019.2914030 fatcat:psvt24nrjbcldpixw6b7stzm3a

Quality-aware user recruitment based on federated learning in mobile crowd sensing

Wei Zhang, Zhuo Li, Xin Chen
2021 Tsinghua Science and Technology  
However, large-scale data collection may reduce the quality of sensed data. Thus, quality control is a key problem in MCS.  ...  of sensed data by 23.5% and 38.8%, respectively.  ...  Prediction model for sensing data quality In internet of things networks, wearable devices, autonomous vehicles, or smart homes may contain numerous sensors that allow them to collect large amounts of  ... 
doi:10.26599/tst.2020.9010046 fatcat:uwanci6pz5avdnyb7stg2tn7jm

Simulation Of Trust-Based Mechanism For Enhancing User Confidence In Mobile Crowdsensing Systems

Dorothy Mwongeli Kalui, Dezheng Zhang, Geoffrey Muchiri Muketha, Jared Onsomu
2020 IEEE Access  
This paper illustrates the establishment of user confidence during recruitment in MCS as it is very critical for the success of MCS systems and proposes a simulation trust-based mechanism (SiTBaM) approach  ...  The trust-based scheme of MCS is studied to predict the damage level, the scores of quality-of-service (QoS), and the levels of qualityof-data (QoD) of MCS systems.  ...  OPPORTUNISTIC TECHNIQUE In the case of an opportunistic MCS system, the sensor data is acquired autonomously and reported to the cloud periodically without the user involvement [19] .  ... 
doi:10.1109/access.2020.2968797 fatcat:kegfiusr2bcudifqh2vze4bbd4

Mobile Devices as an Infrastructure: A Survey of Opportunistic Sensing Technology

Takamasa Higuchi, Hirozumi Yamaguchi, Teruo Higashino
2015 Journal of Information Processing  
., smartphones), employing powerful capability of such commercial mobile products has become a promising approach for large-scale environmental and human-behavioral sensing.  ...  Such a new paradigm of scalable context monitoring is known as opportunistic sensing, and has been successfully applied to a broad range of applications.  ...  As with opportunistic sensing, this approach also incurs privacy concern and requires incentive/quality control mechanisms for data collection.  ... 
doi:10.2197/ipsjjip.23.94 fatcat:rnkekppyjvckvbe7cq5als4suu

A Review of Mobile Crowdsourcing Architectures and Challenges: Toward Crowd-Empowered Internet-of-Things

Jurairat Phuttharak, Seng W. Loke
2019 IEEE Access  
The problems that can be tackled include the use of geographically distributed tasks, and mobile sensing using the collective wisdom of the crowd.  ...  However, the implementation of mobile crowdsourcing applications has been found to be challenging to users due to the nature of dynamic sensing, crowd engagement with data distribution, and a process of  ...  form selforganized opportunistic networks for data distributing and sharing [37] .  ... 
doi:10.1109/access.2018.2885353 fatcat:vtfbb7ydjre2rfkulrjm6ypyma

Reputation-Based Incentives for Data Dissemination in Mobile Participatory Sensing Networks

Jie Li, Xingwei Wang, Ruiyun Yu, Rui Liu
2015 International Journal of Distributed Sensor Networks  
The results show that RIDD remarkably increases the winning probability of participants who disseminate accurate data and reduces the cost for retaining sufficient number of reliable participants.  ...  Due to uncertainty of connection, mobile nodes sometimes need encounter opportunities to accomplish data communication and transmission.  ...  networking, environmental detection, and traffic monitoring by integrating ubiquitous sensing, large-scale data collection, and cloud computing.  ... 
doi:10.1155/2015/172130 fatcat:4uoy2575nzdodke6eho4oalqte

Trustworthy opportunistic sensing: A Social Computing Paradigm

Henric Johnson, Niklas Lavesson, Daniela Oliveira, S. Felix Wu
2011 2011 IEEE International Conference on Information Reuse & Integration  
We refer to this new era as the Social Computing Paradigm, and we argue that it could be particularly useful in conjunction with opportunistic sensing.  ...  Thus, it is possible to create largescale opportunistic networks by integrating sensors, applications and social networks and this development could also promote innovative collaborative cyber security  ...  Figure 2 shows the different layers for the envisioned socially aware opportunistic sensing framework.  ... 
doi:10.1109/iri.2011.6009608 dblp:conf/iri/JohnsonLOW11 fatcat:6ltaztftobb7na272ucrttwu2y

Data Trustworthiness Evaluation in Mobile Crowdsensing Systems with Users' Trust Dispositions' Consideration

Eva Zupančič, Borut Žalik
2019 Sensors  
Mobile crowdsensing is a powerful paradigm that exploits the advanced sensing capabilities and ubiquity of smartphones in order to collect and analyze data on a scale that is impossible with fixed sensor  ...  subjective data besides the raw sensing data generated by their smart devices.  ...  Discussion and Use Cases The proposed framework assumes that an application uses both opportunistic and participatory sensing approaches for collecting data.  ... 
doi:10.3390/s19061326 fatcat:327qhd23mzbnzofihma4ghviiq
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