Supporting Energy-Efficient Uploading Strategies for Continuous Sensing Applications on Mobile Phones

Mirco Musolesi, Mattia Piraccini, Kristof Fodor, Antonio Corradi, Andrew T. Campbell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

48 Citations (Scopus)

Abstract

Continuous sensing applications (e.g., mobile social networking applications) are appearing on new sensor-enabled mobile phones such as the Apple iPhone, Nokia and Android phones. These applications present significant challenges to the phone's operations given the phone's limited computational and energy resources and the need for applications to share real-time continuous sensed data with back-end servers. System designers have to deal with a trade-off between data accuracy (i.e., application fidelity) and energy constraints in the design of uploading strategies between phones and back-end servers. In this paper, we present the design, implementation and evaluation of several techniques to optimize the information uploading process for continuous sensing on mobile phones. We analyze the cases of continuous and intermittent connectivity imposed by low-duty cycle design considerations or poor wireless network coverage in order to drive down energy consumption and extend the lifetime of the phone. We also show how location prediction can be integrated into this forecasting framework. We present the implementation and the experimental evaluation of these uploading techniques based on measurements from the deployment of a continuous sensing application on 20 Nokia N95 phones used by 20 people for a period of 2 weeks. Our results show that we can make significant energy savings while limiting the impact on the application fidelity, making continuous sensing a viable application for mobile phones. For example, we show that it is possible to achieve an accuracy of 80% with respect to ground-truth data while saving 60% of the traffic sent over-the-air.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Pervasive Computing (Pervasive '10)
EditorsPatrik Floréen, Antonio Krüger, Mirjana Spasojevic
PublisherSpringer
Pages355-372
Number of pages18
Volume6030
ISBN (Print)978-3-642-12653-6
DOIs
Publication statusPublished - May 2010

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume6030

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