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Mobile crowdsourcing in peer-to-peer opportunistic networks: energy usage and response analysis
With the popularity of mobile social networking and the emergence of ideas such as participatory sensing, mobile crowdsourcing has the potential to help tackle new problems in relation to real-time data collection and coordination among a large number of participants. Due to the unreliability and dynamic behavior of mobile opportunistic networks, there are several key issues concerning the development of crowdsourcing-related mobile applications that need to be considered. In this paper, we investigate task propagation models devised to support mobile crowdsourcing in intermittently connected opportunistic networks. The propagation strategy is used to disseminate tasks among a crowd of peers. We investigate response models (i.e., to estimate the number of responses to expect in the network) and energy consumption models (for estimating the energy used by both a task-originator and workers) and study their behavior under different conditions in comprehensive simulations. The findings will show the interplay and relationships between mobile crowdsourcing factors and the number of peers responding and energy consumption.
History
Journal
Journal of network and computer applicationsVolume
66Pagination
137 - 150Publisher
ElsevierLocation
Amsterdam, The NetherlandsPublisher DOI
ISSN
1084-8045Language
engPublication classification
C Journal article; C1.1 Refereed article in a scholarly journalCopyright notice
2016, ElsevierUsage metrics
Categories
Keywords
Mobile crowdsourcingMobile applicationAd-hoc networkOpportunistic networksMobile energy consumptionScience & TechnologyTechnologyComputer Science, Hardware & ArchitectureComputer Science, Interdisciplinary ApplicationsComputer Science, Software EngineeringComputer ScienceInformation SystemsDistributed Computing
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