Exact(1)
The objective function is a maximization of similarity between messages in clusters, which is defined by (k -nearest neighbor ((k -nearestrithm.
Similar(59)
We use queuing theory to model the arrival, processing, and departure of packet-in message in cluster controllers with shutting down time and starting time as shown in Fig. 2. Fig. 2 Energy consumption of the cluster controller with shutting down time and starting time.
Using the above method, we can determine the number of transferring messages in one cluster and across clusters, then achieve T delay by (17) and E save by (18).
We observe that the features mainly responsible for linking scam messages in the clusters involve phone numbers (in 88% cases), followed by the reply email address (for 66% of the links).
To avoid the exchange of too many control messages in the cluster, this table stores the direct (1 hop) neighbors.
Other log-in clusters?
To model these two effects, two parameters are used: (i) maximum distance (maxD c ) of the content between two messages in the same cluster and (ii) the number of messages (N c ) in the cluster.
The more similar the routing paths of messages in the same cluster, the less support to each other will be considered.
Based on the model, three parameters affect routing path similarity: the number of messages (N c ) in the cluster, the number of the origins of the messages (N src), and the number of distinct vehicles (N dif) in the routing paths of messages in the same cluster.
(i) Packets sent from to as a message in each cluster.
where T delay is time delay of transferring messages of going to sleep controllers, which consists of T one (the time delay of transferring messages in one cluster) and T across (the time delay of transferring messages across clusters) in (17).
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