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Distributed sensor networks are a developing technology that promises to revolutionize our ability to sense environments, natural and social, over unprecedented spatial and temporal scales.
Creating autonomous, collaborative, and robust computation across a large set of small computing devices.
Distributed Networks makes use of current models in the areas of:
- artificial intelligence,
- machine learning,
- control theory,
- decision theory, and
- distributed computing.
It also brings to the forefront current topics of research that connect the form and function of complex networks.
A distributed network is a type of computer network that is spread over different networks and provides a single data communication network, which can be managed jointly or separately by each network.
Besides shared communication within the network, a distributed network often also distributes processing.
Distributed networks are part of a distributed computing architecture in which enterprise IT infrastructure resources are divided over a number of networks, processors and intermediary devices.
A distributed network is powered by network management software, which manages and monitors data routing, combining and allocating network bandwidth, access control and other core networking processes.
1) Distributed networks and 2) processing work together to deliver specialized applications to different remote users.
This means that an application may be hosted and executed from a single machine but accessed by many others.
A client/server computing architecture is an example of a distributed network where the server is the producer of a resource and many interconnected remote users are the consumers who access the application from different networks.