Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
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WICON '06 Proceedings of the 2nd annual international workshop on Wireless internet
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NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
IEEE Pervasive Computing
The Urbanet Revolution: Sensor Power to the People!
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CenceMe: injecting sensing presence into social networking applications
EuroSSC'07 Proceedings of the 2nd European conference on Smart sensing and context
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Place lab: device positioning using radio beacons in the wild
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OPODIS'05 Proceedings of the 9th international conference on Principles of Distributed Systems
Performance evaluation of service execution in opportunistic computing
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An Enhanced Mobile-Healthcare Emergency System Based on Extended Chaotic Maps
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We propose bubble-sensing, a new sensor network abstraction that allows mobile phone users to create a binding between sensing tasks and the physical world at locations of interest, that remains active for a duration set by the user. We envision mobile phones being able to affix sensing task bubbles at places of interest and then receive sensed data as it becomes available in a delay-tolerant fashion, in essence, creating a living documentary of places of interest in the physical world. The system relies on other mobile phones that opportunistically pass through bubble-sensing locations to acquire tasks and do the sensing on behalf of the initiator, and deliver the data to the bubble-sensing server for retrieval by the user who initiated the task. We describe an implementation of the bubble-sensing system using sensor-enabled mobile phones, specifically, Nokia's N80 and N95 (with GPS, accelerometers, microphone, camera). Task bubbles are maintained at locations through the interaction of ''bubble carriers'', which carry the sensing task into the area of interest, and ''bubble anchors'', which maintain the task bubble in the area when the bubble carrier is no longer present. In our implementation, bubble carriers and bubble anchors implement a number of simple mobile phone based protocols that refresh the task bubble state as new mobile phones move through the area. Phones communicate using the local Ad-Hoc 802.11g radio to transfer task state and maintain the task in the region of interest. This task bubble state is ephemeral and times out when no bubble carriers or bubble anchors are in the area. Our design is resilient to periods when no mobiles pass through the bubble area and is capable of ''reloading'' the task into the bubble region. In this paper, we describe the bubble-sensing system and a simple proof-of-concept experiment.