S Reddy, M Mun, J Burke, D Estrin, M Hansen… - ACM Transactions on …, 2010 - dl.acm.org
As mobile phones advance in functionality and capability, they are being used for more than just communication. Increasingly, these devices are being employed as instruments for …
This paper proposes a novel participant selection framework, named CrowdRecruiter, for mobile crowdsensing. CrowdRecruiter operates on top of energy-efficient Piggyback …
S Reddy, D Estrin, M Srivastava - … 2010, Helsinki, Finland, May 17-20 …, 2010 - Springer
Mobile phones have evolved from devices that are just used for voice and text communication to platforms that are able to capture and transmit a range of data types …
J Wang, Y Wang, D Zhang, F Wang… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Task allocation is a fundamental research issue in mobile crowd sensing. While earlier research focused mainly on single tasks, recent studies have started to investigate multi-task …
Most current methods for 802.11-based indoor localization depend on surveys conducted by experts or skilled technicians. Some recent systems have incorporated surveying by users …
This paper first defines a novel spatial-temporal coverage metric, k-depth coverage, for mobile crowdsensing (MCS) problems. This metric considers both the fraction of subareas …
Mobile crowdsensing (MCS) is a new paradigm to collect sensing data and infer useful knowledge over a vast area for numerous monitoring applications. In urban environments …
Z He, J Cao, X Liu - 2015 IEEE Conference on Computer …, 2015 - ieeexplore.ieee.org
The potential of crowdsourcing for complex problem solving has been revealed by smartphones. Nowadays, vehicles have also been increasingly adopted as participants in …
DH Kim, Y Kim, D Estrin, MB Srivastava - … of the 8th acm conference on …, 2010 - dl.acm.org
Continuously understanding a user's location context in colloquial terms and the paths that connect the locations unlocks many opportunities for emerging applications. While extensive …