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

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 ex...

• Type: Conference
• Year: 2010
• Where: PERVASIVE
• Authors: Mirco Musolesi, Mattia Piraccini, Kristof Fodor, Antonio Corradi, Andrew T. Campbell
• Keywords: Applied Computing, Continuous Sensing, Continuous Sensing Application, Mobile Phones, PERVASIVE 2010