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Three ordering schemes of nodes are investigated.
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We compare the detection results of the algorithms using the Erdős- Rényi (ER) model and the PA model with the combination of the four schemes explained in "Schemes of node neighborhood sets" and the two score functions defined in Eqs.
In Eq. (10), let begin{aligned} d_{G}=frac{2m}{n n-1)}, en n-1igned} (11)whend{aligned is the density (or fill) of graph G. Next we will find the expected number of edges under the four schemes defined in "Schemes of node neighborhood sets".
Then we analyze the impacts of the sleep scheme of nodes and node moving on energy consumption and establish a theoretical model for energy cost.
Finally, we reduce the energy consumption of the communication module and prolong the network lifetime based on sleeping scheme of nodes.
To avoid this conventional approach for selecting CH, in the proposed scheme, probability of nodes to become CH varies with the varying residual energy.
By measuring the time that each scheme needs to provide the prediction results, we evaluate the feasibility of applying these schemes to nodes that usually have limited computational power and memory.
In these schemes, a pair of nodes can have zero or one key in common.
The design scheme of sensor node and sink node were described in detail.
A procedure to guide the proper selection of the spring mass parameters in order to induce multiple nodes is outlined in detail, and numerical experiments are performed to verify the utility of the proposed scheme of imposing nodes at multiple locations.
A procedure to guide the proper selection of the spring mass parameters in order to induce multiple nodes is outlined in detail, and numerical experiments are performed to verify the utility of the proposed scheme of imposing nodes at multiple locations during harmonic excitations.
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