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We use the shifted Pareto distribution to model the nodes' lifetimes in designing our protocol.
In this case, some key features, such as received power, are necessary to model the nodes' behavior.
In the graphical model, the nodes correspond to probability distributions of model variables and edges to their conditional dependencies.
To implement the proposed NWLBP model, the nodes need to record additional position information about its neighboring nodes in their lists of neighbors.
According to the considered interference model, the nodes 1, 2, and 7 will not receive correctly the packet, the transmission to the nodes 3 and 8 will not be affected by any interference.
Due to the multi-way nature of the channel model, the nodes may not always be able to fully exploit their transmit powers, i.e., they may have to operate at a lower rate than their transmit power allows.
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In this model, the node system is composed of two parts: hardware and software.
Fig. 7 Common circuit structure to model the node L working in Tx or Rx mode where L∈{ T 1,T 2,R}
In this model, the node is replaced by the complex vector, and correspondingly the branch gain is represented by the complex square matrix.
Using this model, the node classifies other nodes that try to transact with it as legitimate or malicious and stores this sample.
Based on the equivalent GI|D|∞ model, the node isolation probability and the average size of connected components can be estimated in a one-dimensional case.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com