Paper Info
Title
HySense: A Hybrid Mobile CrowdSensing Framework for Sensing Opportunities Compensation under Dynamic Coverage Constraint.
Abstract
Mobile crowdsensing is a novel sensing paradigm enabled by the proliferation of mobile devices. Since crowdsensing applications are driven by sufficient users, advanced incentive mechanisms have been designed to enhance users' willingness to participate in sensing tasks. However, incentive mechanisms only provide adequate sensing opportunities on the condition that the available user base is large. If existing users are fewer than the required number of participants, incentive mechanisms will lose efficacy. This article proposes a hybrid framework called HySense to compensate for inadequate sensing opportunities solely provided by incentive mechanisms. Within each sensing cycle, HySense combines mobile devices with static sensor nodes to generate uniformly distributed space-time data under the constraint of field coverage. To balance sensing opportunities among different geographic regions, redundant users are efficiently migrated from densely populated areas to sparsely populated areas. HySense utilizes calibration mode for checking whether the participants' behavior patterns are consistent with the sensing task queue. Therefore, any change caused by unforeseen accidents can be dealt with in advance.
Year
DOI
Venue
2017
10.1109/MCOM.2017.1600658CM
IEEE Communications Magazine
Keywords
Field
DocType
Sensors,Mobile communication,Sociology,Statistics,Calibration,Smart phones,Crowdsourcing
Incentive,Crowdsensing,Computer science,Crowdsourcing,Queue,Computer network,Mobile device,Mobile telephony,Distributed computing
Journal
Volume
Issue
ISSN
55
3
0163-6804
Citations 
PageRank 
References 
28
1.22
14
Authors
5
Name
Order
Citations
PageRank
Guangjie Han11890172.76
Li Liu218112.42
Sammy Chan390266.93
Ruiyun Yu46713.77
Yang Yu515138.02