Proceedings ArticleDOI
CarTel: a distributed mobile sensor computing system
Bret Hull,Vladimir Bychkovsky,Yang Zhang,Kevin Chen,Michel Goraczko,Allen Miu,Eugene Shih,Hari Balakrishnan,Samuel Madden +8 more
- pp 125-138
TLDR
CarTel has been deployed on six cars, running on a small scale in Boston and Seattle for over a year, and has been used to analyze commute times, analyze metropolitan Wi-Fi deployments, and for automotive diagnostics.Abstract:Â
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.read more
Citations
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Journal ArticleDOI
Mobile crowdsensing: current state and future challenges
Raghu K. Ganti,Fan Ye,Hui Lei +2 more
TL;DR: The need for a unified architecture for mobile crowdsensing is argued and the requirements it must satisfy are envisioned.
Proceedings ArticleDOI
Nericell: rich monitoring of road and traffic conditions using mobile smartphones
TL;DR: Nericell is presented, a system that performs rich sensing by piggybacking on smartphones that users carry with them in normal course, and addresses several challenges including virtually reorienting the accelerometer on a phone that is at an arbitrary orientation, and performing honk detection and localization in an energy efficient manner.
Proceedings ArticleDOI
The pothole patrol: using a mobile sensor network for road surface monitoring
TL;DR: This paper describes a system and associated algorithms to monitor this important civil infrastructure using a collection of sensor-equipped vehicles, which they call the Pothole Patrol (P2), which uses the inherent mobility of the participating vehicles, opportunistically gathering data from vibration and GPS sensors, and processing the data to assess road surface conditions.
Proceedings ArticleDOI
DTN routing as a resource allocation problem
TL;DR: RAPID is presented, an intentional DTN routing protocol that can optimize a specific routing metric such as worst-case delivery latency or the fraction of packets that are delivered within a deadline and significantly outperforms existing routing protocols for several metrics.
Named Data Networking (NDN) Project
Lixia Zhang,Deborah Estrin,Jeff Burke,Van Jacobson,James D. Thornton,Diana K. Smetters,Beichuan Zhang,Gene Tsudik +7 more
TL;DR: A global center for commercial innovation, PARC, a Xerox company, works closely with enterprises, entrepreneurs, government program partners and other clients to discover, develop, and deliver new business opportunities.
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