The different paradigms$/$methods by which data is sent and received by different nodes within a network can be classified into the following categories:

Unicast: In this method, data is sent from one sender node to a specific receiver node. It is a one$-$to$-$one communication model. The sender node identifies the specific receiver node and sends the data directly to it$.$

Multicast: In this method, data is sent from one sender node to a group of receiver nodes. It is a one$-$to$-$many communication model. The sender node identifies a group of receiver nodes and sends the data to all the nodes in the group simultaneously.

Broadcast: In this method, data is sent from one sender node to all the nodes within the network. It is a one$-$to$-$all communication model. The sender node sends the data to all the nodes in the network, and each node receives and processes the data.

Anycast: In this method, data is sent from one sender node to the nearest or most appropriate receiver node among a group of potential receiver nodes. It is a one$-$to$-$one$-$of$-$many communication model. The sender node identifies a group of potential receiver nodes, and the data is sent to the node that is closest or most suitable for receiving the data.

These paradigms$/$methods can be classified based on the following attributes:

Number of sender nodes: Whether the data is sent from one sender node or multiple sender nodes.

Number of receiver nodes: Whether the data is sent to one receiver node, a group of receiver nodes, or all the nodes within the network.

Target identification: How the sender node identifies the specific receiver node$($s$)$ or group of receiver nodes.

Simultaneous transmission: Whether the data is sent simultaneously to all the receiver nodes or sequentially to each receiver node.

It is important to note that these paradigms$/$methods may have variations and can be implemented differently depending on the network protocols and technologies used.