Download 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 court cases 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 hide quite a lot of subject matters together with within the instant sensor community fields nodes structures, infrastructures, verbal exchange protocols, and knowledge management.

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Additional info for Advances in Wireless Sensor Networks: 6th China Conference, CWSN 2012, Huangshan, China, October 25-27, 2012, Revised Selected Papers

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We can compute (m+1) (n) coding vectors (fl+1,1 , fl+1,2 , · · · , fl+1,m ) · P = (gl+1 , · · · , gl+1 ) of adding data blocks by encryption matrix P, directly. In order to better furnish add process, we need to do a little change for token pre-computation. Firstly setting the size of each data block and labeling as lmax , computing each token parameter rmax = [r × (lmax /l)] at the same time, then the computation of the token i in server j can be modified to αqi × G(j) [Iq ] vi = q=1 In this expression, G(j) [Iq ] = G(j) [φk(i) (q)] prp 0 [φk(i) (q)] ≤ l prp [φk(i) (q)] > l prp The above equation ensures that there are average r index in the existed data blocks.

Li is also conducive to the mutual index between the different dimensions, which makes adding or deleting operation more flexible. 1GHz. The experimental data is electricity price data from the IESO[11] and cosine data mixed with noise. The experiment mainly analyses sample rate, sample error about the new sample method. Otherwise, it also analyses the basic characteristics of the multi-dimensional B+ tree. 15 0 1 2 3 4 5 Ti 6 7 8 9 Fig. 5. 8 Fig. 6. Comparison of sampling rate Sampling According to the Mutant Information The sampling method of mutation information is sample and store data which contains more mutation information in data sequence.

The Internal node of B+ tree can be described as (P1 , k1 , P2 , k2 , · · · , Pj , kj ). ki is keyword (here it is timestamp), and Pj is a tree pointer which point to its child node. This kind of storage mechanism can be only used for one-dimensional data storage management. While for multiple heterogeneous data stream in the Internet of Things, such as temperature, humidity, pressure and wind strength etc, this one-dimensional storage scheme will result in low storage efficiency and indexing efficiency.

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