(ε,δ)-approximate Top-k query processing algorithm in wireless sensor networks
A sampling based approximate Top-k algorithm was proposed that is adaptive for any data distribution.δ≥0 and 0≤δ<1 are respectively relative error bound and failure probability bound.The theoretical analysis demonstrates that for any δ≥0 and 0≤δ<1 the probability that the relative error bound...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2011-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74417751/ |
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| Summary: | A sampling based approximate Top-k algorithm was proposed that is adaptive for any data distribution.δ≥0 and 0≤δ<1 are respectively relative error bound and failure probability bound.The theoretical analysis demonstrates that for any δ≥0 and 0≤δ<1 the probability that the relative error bound of the results returned by this algorithm is larger than ε/（1+ε） is less than δ.So the proposed algorithm can reach arbitrary precision.Furthermore,an optimal sampling algorithm was proposed that supported the approximate Top-k query,and through the technique of data filtering the en-ergy consumption of communication was reduced.Theoretical analysis and simulation show that the proposed algorithm is efficient and consumes little energy. |
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| ISSN: | 1000-436X |