Energy-aware collaborative sensing for multiple applications in mobile cloud computing

Loomba, Radhika and Shi, Lei and Jennings, Brendan and Friedman, Roy and Kennedy, John and Butler, Joe (2015) Energy-aware collaborative sensing for multiple applications in mobile cloud computing. Sustainable Computing: Informatics and Systems, 8. pp. 47-59. ISSN 2210-5379

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Abstract

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 middleware mediates between multiple applications requiring sensed data and the mobile handsets located within a particular physical area. We present and evaluate an algorithm which seeks to maximise the degree to which sensed data transferred from a given mobile device can be served to more than one application. We show that this algorithm leads to better overall performance in terms of energy used than an algorithm which does not aggregate sensed information between applications.

Item Type:	Article
Additional Information:	Funding Information: This research was partially funded by: (1) the Irish Research Council Enterprise Partnership Scheme Postgraduate Research Scholarship , co-funded by Intel Labs Europe (grant no. EPSPG/2012/407 ); (2) by the Irish Research Council via the ELEVATE Fellowship 2013 (grant no. ELEVATEPD/2013/26 ); and (3) by Science Foundation Ireland (SFI) via the FAME strategic research cluster (grant no. 08/SRC/I1403 ) and the CONNECT Research Centre (grant no. 13/RC/2077 ). Publisher Copyright: © 2015 Published by Elsevier Inc.
Uncontrolled Keywords:	/dk/atira/pure/subjectarea/asjc/1700
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Depositing User:	Admin SSL
Date Deposited:	19 Oct 2022 23:09
Last Modified:	26 Jun 2023 19:50
URI:	http://repository-testing.wit.ie/id/eprint/4331

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