Eisenman-BikeNet - 6 BikeNet: A Mobile Sensing System for...

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Unformatted text preview: 6 BikeNet: A Mobile Sensing System for Cyclist Experience Mapping SHANE B. EISENMAN Columbia University EMILIANO MILUZZO, NICHOLAS D. LANE, and RONALD A. PETERSON Dartmouth College GAHNG-SEOP AHN Columbia University and ANDREW T. CAMPBELL Dartmouth College We present BikeNet, a mobile sensing system for mapping the cyclist experience. Built leverag- ing the MetroSense architecture to provide insight into the real-world challenges of people-centric sensing, BikeNet uses a number of sensors embedded into a cyclists bicycle to gather quantita- tive data about the cyclists rides. BikeNet uses a dual-mode operation for data collection, using opportunistically encountered wireless access points in a delay-tolerant fashion by default, and leveraging the cellular data channel of the cyclists mobile phone for real-time communication as required. BikeNet also provides a Web-based portal for each cyclist to access various representa- tions of her data, and to allow for the sharing of cycling-related data (for example, favorite cycling routes) within cycling interest groups, and data of more general interest (for example, pollution data) with the broader community. We present: a description and prototype implementation of the This article extends work published in the Proceedings of the ACM Conference on Embedded Net- worked Sensor Systems (SenSys) 2007. This work is supported in part by Intel Corp., Nokia, NSF NCS-0631289, ARO W911NF-04-1-031, and the Institute for Security Technology Studies (ISTS) at Dartmouth College. ISTS support for this research is provided under award 60NANB6D6130 from the U.S. Department of Commerce and award 2005-DD-BX-1091 from the U.S. Bureau of Justice Assistance. The statements, findings, conclusions, and recommendations are those of the authors and do not necessarily reflect the views of the National Institute of Standards and Technology (NIST), the U.S. Department of Commerce, or the U.S. Department of Justice. Authors addresses: S. B. Eisenman, Electrical Engineering Department, Columbia Univerity, New York, NY; email: shane@ee.columbia.edu; E. Miluzzo, N. D. Lane, R. A. Peterson, Department of Computer Science, Dartmouth College, Hanover, NH 03755; G.-S. Ahn, Columbia University, New York, NY; A. T. Campbell, Department of Computer Science, Dartmouth College, Hanover, NH 03755. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies show this notice on the first page or initial screen of a display along with the full citation. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, to redistribute to lists, or to use any component of this work in other works requires prior specific permission and/or a fee. Permissions may be requested from Publications Dept., ACM, Inc., 2 Pennpermission and/or a fee....
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This note was uploaded on 08/25/2011 for the course EEL 6788 taught by Professor Boloni,l during the Spring '08 term at University of Central Florida.

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Eisenman-BikeNet - 6 BikeNet: A Mobile Sensing System for...

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