Smartphone sensing offloading for efficiently supporting social sensing applications

Rachuri, Kiran and Efstratiou, Christos and Leontiadis, Ilias and Mascolo, Cecilia and Rentfrow, Peter J. (2014) Smartphone sensing offloading for efficiently supporting social sensing applications. Pervasive and Mobile Computing, 10 (Part a). pp. 3-21. ISSN 1574-1192. (doi:https://doi.org/10.1016/j.pmcj.2013.10.005) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Official URL
http://dx.doi.org/10.1016/j.pmcj.2013.10.005

Abstract

Mobile phones play a pivotal role in supporting ubiquitous and unobtrusive sensing of human activities. However, maintaining a highly accurate record of a user’s behavior throughout the day imposes significant energy demands on the phone’s battery. In this work, we investigate a new approach that can lead to significant energy savings for mobile applications that require continuous sensing of social activities. This is achieved by opportunistically offloading sensing to sensors embedded in the environment, leveraging sensing that may be available in typical modern buildings (e.g., room occupancy sensors, RFID access control systems). In this article, we present the design, implementation, and evaluation of METIS: an adaptive mobile sensing platform that efficiently supports social sensing applications. The platform implements a novel sensor task distribution scheme that dynamically decides whether to perform sensing on the phone or in the infrastructure, considering the energy consumption, accuracy, and mobility patterns of the user. By comparing the sensing distribution scheme with sensing performed solely on the phone or exclusively on the fixed remote sensors, we show, through benchmarks using real traces, that the opportunistic sensing distribution achieves over 60% and 40% energy savings, respectively. This is confirmed through a real world deployment in an office environment for over a month: we developed a social application over our frameworks, that is able to infer the collaborations and meetings of the users. In this setting the system preserves over 35% more battery life over pure phone sensing.

Item Type: Article
Additional information: Publication subtitle: Selected Papers from the Eleventh Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2013)
Uncontrolled keywords: Energy efficiency; Phone sensing; Sensing offloading; Smartphones; Social sensing
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Digital Media
Depositing User: Tina Thompson
Date Deposited: 19 Mar 2014 16:42 UTC
Last Modified: 17 Jul 2014 08:07 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/38832 (The current URI for this page, for reference purposes)
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