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The cluster head will randomly select several cluster members which include the real queried node [s.sub.i] and gain the sensed data from them.
In the query phase, the cluster head randomly selects several cluster members which include the real queried node s, and gain the sensed data from them.
And then the sink relays the message to a cluster head which include the queried node.
We assume that the possible sensor nodes in [D.sub.T] include queried nodes which send data to cluster head.
In particular, for each queried sensor node [s.sub.i,] (i [member of] [[GAMMA].sub.t]), assuming that if there are A [member of] [0, [[tau].sub.i]] data items collected by [s.sub.i] satisfying [Q.sub.t], they must be {[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]} according to Lemma 1.
Assume that [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] is a received message for a queried sensor node [s.sub.i] (i [member of] [[GAMMA].sub.t]) where [h.sub.i] is the HMAC data, [l.sub.i] [greater than or equal to] 0 and [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII].
Obviously, the situations that none message or more than one different messages returned from M regarding to a queried sensor node will be easily detected by the base station.
In relational databases, the result of a query is a relation that can be queried further.
The schema also specifies how each searchable field can be queried. In practice, users would consult the source's documentation to formulate valid queries.
If the field F can only be queried with Equals, we must "promote" the word pattern wPat (representing a partial value) to the corresponding phrase pattern (matching the complete values of the field).
In principle, the only upper bound is the size of the queried collection.
As a result, most of these boards have not queried the Data Bank.