A Decomposable Aggregation Query Processing Method for Wireless Sensor Networks
A technology of a wireless sensor network and a processing method, which is applied in the field of decomposable aggregation query processing of a wireless sensor network, which can solve problems such as inability to guarantee data accuracy, low data transmission reliability, and large energy consumption, and reduce communication overhead , improve accuracy and improve stability
Active Publication Date: 2016-11-30
TSINGHUA UNIV
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Problems solved by technology
However, the moving average still cannot guarantee the accuracy of the data, because the data transmission reliability of the wireless sensor network is low and the packet loss is serious
At the same time, due to the node energy limitation of wireless sensor networks, traditional query processing techniques consume a lot of energy
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[0017] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.
[0018] In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", " Orientation or position indicated by "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. The relationship is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the descrip...
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The present invention proposes a decomposable aggregation query processing method for a wireless sensor network, including: constructing a plurality of wireless sensor nodes into a tree topology; users sending out continuous aggregation queries; adopting a multi-parent node method combined with intelligent transmission path selection Algorithm, calculates the preferred parent node of each node; data is transmitted through the tree topology, and the node collects the data of the corresponding multiple child nodes once in each cycle and aggregates them into a single result, and then re-segments them into partial values and sends them to the corresponding Multiple preferred parent nodes of multiple hops transfer data to the server connected to the root node for calculation of summary query results; and in-network aggregation is applied to the root node during the transmission process, and finally the base station uses all the data received by the root node to calculate the final search result. The invention can overcome the negative impact caused by wireless link data loss, can significantly reduce communication overhead, and improve the stability of results.
Description
technical field [0001] The invention belongs to the technical field of computer data management, and in particular relates to a decomposable aggregation query processing method of a wireless sensor network. Background technique [0002] Wireless sensor networks have broad application prospects. In addition to periodically sending all collected raw data back to the base station, responding to various complex data queries from users is also an important function of wireless sensor networks. In the process of collecting data and responding to queries, data fusion technology plays a very important role. The results obtained by fusing multi-node data can overcome the shortcomings of single-point sensing data that are susceptible to noise and effectively control errors. At the same time, data fusion technology can Significantly reduce communication overhead and improve system performance. Considering the wireless sensor network as a database, aggregation queries such as SUM (sum)...
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IPC IPC(8): G06F17/30H04W84/18
Inventor 刘克彬刘云浩
Owner TSINGHUA UNIV