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On the other hand, we do not know whether the number of model-sensitive nodes in our dataset is normal, unusually low, or even unusually high, which makes predictions for other data than our own uncertain.
These twelve regions represented 21.5%% of all nodes in our 620-region structural brain connectome.
With the 54 diverse links, we set up 50 nodes in our simulations.
The transit value corresponds to the communication time between two nodes in our model.
For node A, B, and C, we use raspberry pi as wireless nodes in our testbed.
All nodes in our work are supposed to be equipped with transceivers, i.e., a 100% market penetration ratio is assumed.
The adversary can break all the nodes and eavesdrop all the communications between nodes in our network.
Based on the proportion of malicious nodes in our random sample, we estimated the actual proportion in the entire network.
We used five nodes in our experiment: one fixed MoCo Router acting as sink device and four regular MoCo Devices.
We have therefore measured the (average) received signal strengths between all pairs of nodes in our testbed.
Primary nodes in our scenario are composed of devices operating in the unlicensed ISM bands such as residential wireless local area network (WLAN) access points and Bluetooth devices.
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