The contribution of IR-tree suggested in this paper is that it achieves a reduction of overall query processing time and energy consumption compared with the traditional approaches by decreasing the number of queries by adopting spatio-temporal query aggregation.
Functions of IR-tree are categorized into three parts: index creation, query dissemination/reception, and index update.
This proposes top-k query processing and malicious node identification methods against DRAs and FNA attack in MANETs.
so as to reduce the computation the query message are not encrypted.
Only when we have stored ancestor nodes to check for discrete data,
query to send the ancestors, or when the
query routing table is not suitable to the neighbor node can send a
query to the other side of a tall tree, the
query sent to their parent node.
A novel
query expansion technique based on users' aspect and
In [2], a querying region transformation technique is proposed to fuzzy the target region of the
query according to predefined transformation functions.
Most readers when hearing the term
query think of the ubiquitous search box, and some may think about more ways for users to interact with the system, such as selecting further search criteria through filters or using an interface for fielded search.