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Dynamic Ambient Networks with Middleware

Dynamic Ambient Networks with Middleware

Baoying Wang, Rebecca L. Willard
Copyright: © 2011 |Pages: 9
ISBN13: 9781616928575|ISBN10: 1616928573|EISBN13: 9781616928582
DOI: 10.4018/978-1-61692-857-5.ch013
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MLA

Wang, Baoying, and Rebecca L. Willard. "Dynamic Ambient Networks with Middleware." Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives, edited by Nak-Young Chong and Fulvio Mastrogiovanni, IGI Global, 2011, pp. 239-247. https://doi.org/10.4018/978-1-61692-857-5.ch013

APA

Wang, B. & Willard, R. L. (2011). Dynamic Ambient Networks with Middleware. In N. Chong & F. Mastrogiovanni (Eds.), Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives (pp. 239-247). IGI Global. https://doi.org/10.4018/978-1-61692-857-5.ch013

Chicago

Wang, Baoying, and Rebecca L. Willard. "Dynamic Ambient Networks with Middleware." In Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives, edited by Nak-Young Chong and Fulvio Mastrogiovanni, 239-247. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61692-857-5.ch013

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Abstract

Ambient Intelligence is the concept that technology will become a part of everyday living and assist users in multiple tasks. It is a combination and further development of ubiquitous computation, pervasive computation, and multimedia.The technology is sensitive to the actions of humans and it can interact with the human or adjust the surroundings to suit the needs of the users dynamically. All of this is made possible by embedding sensors and computing components inconspicuously into human surroundings. This paper discusses the middleware needed for dynamic ambient intelligence networks and the ambient intelligence network architecture. The bottom-up middleware approach for ambient intelligence is important so the lower layers of all ambient intelligence networks are interchangeable and compatible with other ambient intelligence components. This approach also allows components to be programmed to be compatible with multiple ambient intelligence networks. The network architecture discussed in this paper allows for dynamic networking capabilities for minimal interruptions with changes in computer components.

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