Sentence examples for different types of nodes from inspiring English sources

Exact(39)

However, in heterogeneous networks, there are different types of nodes who mainly differ in the amount of computational resource built inside them.

Moreover, the dependence between different types of nodes is identified and represented using graph edges.

To satisfy these constraints, it is necessary to introduce two different types of nodes.

And the military network is a typical heterogeneous network, where there are different types of nodes and edges.

We model respondents and non-respondents as two different types of nodes, distinguishing ties between respondents from ties that link respondents to non-respondents.

We identify three different types of nodes in the network: mobile sinks (i.e. the nodes moving and querying the WSN), vice-sinks (i.e. nodes able to communicate directly with mobile sinks) and ordinary sensor nodes (i.e. nodes sensing a phenomenon and communicating in a multihop fashion).

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Similar(21)

Table 9. below show different scenarios which different types of node may exhibit.

In our work p = 4, there are 4 average degrees, 4 × 3 different types of node connection, which results in 12 ACCs, and finally a diameter value of the whole graph.

A major advantage of networks is that they do not differentiate between different types of node (e.g. artefacts and/or people) so that from a modelling perspective, they are not constrained by existing structures of people and artefacts, and rather they are related to the tasks associated with a scenario.

It does not only widen the spatial sensing coverage, but it also enables different types of sensing nodes to collaboratively perform sensing tasks and complement each other.

Simulation results show that BiSNET allows sensor nodes (agents and platforms) to be scalable with respect to network size, autonomously adapt their sleep periods for power efficiency and responsiveness of data collection, adaptively aggregate data from different types of sensor nodes, and collectively self-heal (i.e., detect and eliminate) false positive sensor data.

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