Context-Aware Network

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What Does Context-Aware Network Mean?

A context-aware network (CAN) is a network that combines the properties of dumb networks and intelligent networks, which have different functionalities and characteristics.

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Context-aware networks were designed to facilitate the maximum level of stability and reliability for digital networks while addressing the limitations of dumb and intelligent networks in its design.

Techopedia Explains Context-Aware Network

In digital communications, different techniques are used for transmitting digital data from one node to another. Each method has its own characteristics, impacts and limitations. Dumb and intelligent networks are major examples of digital communication techniques.

Intelligent networks are more stable and reliable. They control and manage any activity regarding network applications. Because both types of networks have drawbacks, a context-aware network attempts to overcome the limitations related to intelligent and dumb networks.

Dumb networks only provide connectivity to end systems, but without further assistance, such as routing or switching within a network. Any issue or undesired reaction in the network is handled by individual applications.

The best example of a context-aware network is the Semantic Web. Grid network topologies, autonomic networks and service-oriented networks also include some of the characteristics of context-aware networks.

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Margaret Rouse
Technology Specialist
Margaret Rouse
Technology Specialist

Margaret is an award-winning writer and educator known for her ability to explain complex technical topics to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles in the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret’s idea of ​​a fun day is to help IT and business professionals to learn to speak each other’s highly specialized languages.