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IrisNet: An Internet-Scale Architecture for Multimedia Sensors

URL: https://doi.org/10.1145/1101149.1101162

Bibtex Entry:

@inproceedings{2005-Campbell-multimedia, author = “Campbell, Jason and Gibbons, Phillip B. and Nath, Suman and Pillai, Padmanabhan and Seshan, Srinivasan and Sukthankar, Rahul”, title = “IrisNet: An Internet-Scale Architecture for Multimedia Sensors”, year = “2005”, isbn = “1595930442”, publisher = “Association for Computing Machinery”, address = “New York, NY, USA”, url = “https://doi.org/10.1145/1101149.1101162”, doi = “10.1145/1101149.1101162”, abstract = “Most current sensor network research explores the use of extremely simple sensors on small devices called motes and focuses on over-coming the resource constraints of these devices. In contrast, our research explores the challenges of multimedia sensors and is motivated by the fact that multimedia devices, such as cameras, are rapidly becoming inexpensive, yet their use in a sensor network presents a number of unique challenges. For example, the data rates involved with multimedia sensors are orders of magnitude greater than those for sensor motes and this data cannot easily be processed by traditional sensor network techniques that focus on scalar data. In addition, the richness of the data generated by multimedia sensors makes them useful for a wide variety of applications. This paper presents an overview of IRISNET, a sensor network architecture that enables the creation of a planetary-scale infrastructure of multimedia sensors that can be shared by a large number of applications. To ensure the efficient collection of sensor readings, IRISNET enables the application-specific processing of sensor feeds on the significant computation resources that are typically attached to multimedia sensors. IRISNET enables the storage of sensor readings close to their source by providing a convenient and extensible distributed XML database infrastructure. Finally, IRISNET provides a number of multimedia processing primitives that enable the effective processing of sensor feeds in-network and at-sensor.”, booktitle = “ACM International Conference on Multimedia (ACM Multimedia)”, pages = “81–88”, numpages = “8”, keywords = “multimedia sensors, sensor networks, wide-area sensing infrastructure”, location = “Hilton, Singapore”, month = “November”, category = “IrisNet”, series = “MULTIMEDIA ‘05” }

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