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Selective Reprogramming in Wireless Sensor Networks

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If you have a question about this talk, please contact Eiko Yoneki.

This talk will focus on application domains where the behavior of animals is monitored using wireless sensor network (WSN) devices. In order to maintain the system on the long term, the code on these devices needs to be updated as scientists acquire in-field data and refine their hypotheses. Wireless reprogramming is therefore fundamental to avoid the (expensive) re-collection of the devices. Moreover, the code carried by the monitored individuals often depends on their characteristics, e.g., the behavior or preferred habitat. The selective reprogramming approach proposed simplifies and automates the process of delivering a code update to a target subset of nodes. Target selection is expressed through constraints injected in the WSN , triggering automatic dissemination of code updates whenever verified. Update dissemination relies on a novel protocol exploiting the social behavior of the monitored individuals. In this talk, I will introduce our selective reprogramming protocol, including an evaluation of the social clustering algorithm on the dataset gathered by our WildSensing project.

Bio: I received my Bsc from the University College London, and soon after moved to Cambridge to start my Phd with Dr. Cecilia Mascolo. My main interests are mobile wireless sensor networks and the operating systems running on these devices.

This talk is part of the Computer Laboratory Systems Research Group Seminar series.

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