Energy-aware collaborative sensing for multiple applications in mobile cloud computing
作者: Radhika LoombaLei ShiBrendan JenningsRoy FriedmanJohn KennedyJoe Butler
作者单位: 1TSSG, Waterford Institute of Technology, Ireland
2Department of Computer Science, Technion, Israel
3Intel Labs Europe, Ireland
刊名: Sustainable Computing: Informatics and Systems, 2015, Vol.8 , pp.47-59
来源数据库: Elsevier Journal
DOI: 10.1016/j.suscom.2015.09.001
关键词: Mobile cloudCollaborative sensingInformation aggregationFrequent pattern miningOptimizationHuman mobility
原始语种摘要: Abstract(#br)Modern mobile handsets and the myriad of wearable devices connected to them offer a wide range of sensing capabilities. The ubiquity of such sensing devices offers the potential to realise novel applications based on collaborative sensing, in which application logic makes use of sensor input from a number of handsets, typically distributed across a defined physical area. Such applications will be enabled by mobile cloud computing, with the devices transferring raw or pre-processed sensed data to application logic hosted in the cloud. This results in a trade-off between the quality of the sensed data received by applications and the energy required to transfer data from the mobile handsets. We address this trade-off by considering a scheme in which a collaborative sensing...
全文获取路径: Elsevier  (合作)
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