Advances in Wireless Sensor Networks: 6th China Conference, by Hanzhen Cao, Weijun Qin, Jiadi Zhang, Qiang Li (auth.), PDF
By Hanzhen Cao, Weijun Qin, Jiadi Zhang, Qiang Li (auth.), Ruchuan Wang, Fu Xiao (eds.)
This e-book constitutes the refereed lawsuits of the sixth China convention on Advances in instant Sensor Networks, held in Huangshan, China, in October 2012.
The 70 revised complete papers have been rigorously reviewed and chosen from 458 submissions. The papers disguise a variety of issues together with within the instant sensor community fields nodes structures, infrastructures, conversation protocols, and knowledge management.
Read or Download Advances in Wireless Sensor Networks: 6th China Conference, CWSN 2012, Huangshan, China, October 25-27, 2012, Revised Selected Papers PDF
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Additional resources for Advances in Wireless Sensor Networks: 6th China Conference, CWSN 2012, Huangshan, China, October 25-27, 2012, Revised Selected Papers
Keywords: heterogeneous data streams, mutation data, real-time, multidimensional B + tree. 1 Introduction Recently data streams are appearing in wide applications, which absorb a growing number of scholars concerning on their sampling and storing. The real time monitoring human motion with body sensor network is one of data stream application. Diﬀerent from the traditional data stored, the data stream appears in the form of fast and unlimited stream . The system that manages and processes is is known as a data stream system.
So it cannot reﬂect the mutation of data. At the same time, the mutation function we give can eﬀectively describe the mutation situation at mutation data. Usually, the abnormal data is our interesting data. 4 to determine mutational probability that we can obtain these interesting points. 3 Storage for Data Stream The current method to store and index historical data of the data stream is B+ tree or its variants. A B+ tree is a type of tree data structure. It represents sorted data in a way that allows for eﬃcient insertion and removal of elements.
For multi-dimensional B+ tree, it only extends the one-dimensional B+ tree on the space, and it has little eﬀect on indexing time. But it will deﬁnitely increases the building time. 10 shows the time that spent for establishing diﬀerent dimensions of multidimensional B+ tree with 10,000 leaf nodes. Obviously, the more the dimension is, the more complex the building metadata node layer is. Therein building metadata structure costs more time. 5 Conclusions By analyzing the features of heterogeneous data streams, we propose a mutant sampling and storing mechanism for multiple data streams according to the mutant information.
Advances in Wireless Sensor Networks: 6th China Conference, CWSN 2012, Huangshan, China, October 25-27, 2012, Revised Selected Papers by Hanzhen Cao, Weijun Qin, Jiadi Zhang, Qiang Li (auth.), Ruchuan Wang, Fu Xiao (eds.)