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CarTel: a distributed mobile sensor computing system
Abstract
CarTel is a mobile sensor computing system designed to collect, process, deliver, and visualize data from sensors located on mobile units such as automobiles. A CarTel node is a mobile embedded computer coupled to a set of sensors. Each node gathers and processes sensor readings locally before delivering them to a central portal, where the data is stored in a database for further analysis and visualization. In the automotive context, a variety of on-board and external sensors collect data as users drive.CarTel provides a simple query-oriented programming interface, handles large amounts of heterogeneous data from sensors, and handles intermittent and variable network connectivity. CarTel nodes rely primarily on opportunistic wireless (e.g., Wi-Fi, Bluetooth) connectivity to the Internet, or to "data mules" such as other CarTel nodes, mobile phone flash memories, or USB keys-to communicate with the portal. CarTel applications run on the portal, using a delay-tolerant continuous query processor, ICEDB, to specify how the mobile nodes should summarize, filter, and dynamically prioritize data. The portal and the mobile nodes use a delay-tolerant network stack, CafNet, to communicat.CarTel has been deployed on six cars, running on a small scale in Boston and Seattle for over a year. It has been used to analyze commute times, analyze metropolitan Wi-Fi deployments, and for automotive diagnostics.
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Cited by
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Balasubramanian, A., Mahajan, R., & Venkataramani, A. (2010) · Proceedings of the 8th international conference on Mobile systems, applications, and services · doi:10.1145/1814433.1814456 · Cited by 587
Sell your experiences: a market mechanism based incentive for participatory sensing
Lee, J.-S., & Hoh, B. (2010) · 2010 IEEE International Conference on Pervasive Computing and Communications (PerCom) · doi:10.1109/percom.2010.5466993 · Cited by 396
BikeNet: A mobile sensing system for cyclist experience mapping
Eisenman, S. B., Miluzzo, E., Lane, N. D., Peterson, R. A., Ahn, G.-S., & Campbell, A. T. (2009) · ACM Transactions on Sensor Networks · doi:10.1145/1653760.1653766 · Cited by 349
Adaptive Traffic Light Control with Wireless Sensor Networks
Tubaishat, M., Shang, Y., & Shi, H. (2007) · 2007 4th IEEE Consumer Communications and Networking Conference · doi:10.1109/ccnc.2007.44 · Cited by 139
Identification of Road Surface Conditions using IoT Sensors and Machine Learning
Ng, J. R., Wong, J. S., Goh, V. T., Yap, W. J., Yap, T. T. V., & Ng, H. (2019) · Lecture Notes in Electrical Engineering · doi:10.1007/978-981-13-2622-6_26 · Cited by 43
Metadata
- Authors
- Hull, B., Bychkovsky, V., Zhang, Y., Chen, K., Goraczko, M., Miu, A., Shih, E., Balakrishnan, H., & Madden, S.
- Venue
- Proceedings of the 4th international conference on Embedded networked sensor systems
- Publisher
- ACM
- Published
- 2006-10-31
- Pages
- 125-138
- OpenAlex
- W2170918595
- Cited by
- 1,030
- References
- 0
- FWCI
- 44.30
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Hull, B., Bychkovsky, V., Zhang, Y., Chen, K., Goraczko, M., Miu, A., Shih, E., Balakrishnan, H., & Madden, S. (2006). CarTel: a distributed mobile sensor computing system. Proceedings of the 4th international conference on Embedded networked sensor systems. https://doi.org/10.1145/1182807.1182821
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