HySense : A Hybrid Mobile CrowdSensing Framework for Sensing Opportunities Compensation under Dynamic Coverage Constraint

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Computer Science

100
Detection Computer Science
62
User Computer Science
50
Incentive Mechanism Computer Science
25
Mobile Device Computer Science
12
Application Computer Science
12
Accidents Computer Science
12
Sensor Node Computer Science
12
Geographic Region Computer Science
12
Behavior Pattern Computer Science

Keyphrases

100
Incentive Mechanism Keyphrases
100
Dynamic Coverage Keyphrases
100
Mobile Crowdsensing Keyphrases
100
Coverage Constraint... Keyphrases
50
Mobile Devices Keyphrases
50
Sensing Tasks Keyphrases
25
User-centric Keyphrases
25
Geographic Region Keyphrases
25
Behavioral Patterns Keyphrases
25
Number of Participa... Keyphrases
25
User Willingness Keyphrases
25
Densely Populated A... Keyphrases
25
Hybrid Framework Keyphrases
25
Space-time Data Keyphrases
25
Willingness to Part... Keyphrases
25
Task Queue Keyphrases
25
Static Nodes Keyphrases
25
Participant Behavio... Keyphrases
25
Lose Efficacy Keyphrases
25
Field Coverage Keyphrases
25
Sparsely Populated ... Keyphrases
25
Crowdsensing Applic... Keyphrases
25
Participation Incen... Keyphrases
25
Uniformly Distribut... Keyphrases

INIS

100
dynamics INIS
100
constraints INIS
100
hybrids INIS
100
incentives INIS
50
devices INIS
25
space INIS
25
balances INIS
25
applications INIS
25
data INIS
25
sensors INIS
25
calibration INIS
25
queues INIS
25
accidents INIS
25
proliferation INIS

Engineering

100
Coverage Engineering
100
Detection Engineering
100
Hybrid Engineering
50
Mechanisms Engineering
12
Application Engineering
12
Fields Engineering
12
Combines Engineering
12
Accidents Engineering
12
Calibration Engineering
12
Sensor Node Engineering
12
Cycle Engineering
Research OutputsResearch Output authored by HySense is tagged with the concept