Evidence map›Paper›PMID 31905910›Full record

ArticleSensors (Basel, Switzerland)2019

Data Query Mechanism Based on Hash Computing Power of Blockchain in Internet of Things.

Yongjun Ren, Fujian Zhu, Pradip Kumar Sharma, Tian Wang, Jin Wang, Osama Alfarraj, Amr Tolba

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yongjun RenSchool of Computer and Software, Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Fujian ZhuSchool of Computer and Software, Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Pradip Kumar SharmaDepartment of Multimedia Engineering, Dongguk University, Seoul 04620, Korea.
Tian WangCollege of Computer Science and Technology, Huaqiao University, Xiamen 361021, China.
Jin WangSchool of Computer & Communication Engineering, Changsha University of Science & Technology, Changsha 410004, China.ORCID 0000-0001-5473-8738
Osama AlfarrajComputer Science Department, Community College, King Saud University, Riyadh 11437, Saudi Arabia.ORCID 0000-0001-6111-8617
Amr TolbaComputer Science Department, Community College, King Saud University, Riyadh 11437, Saudi Arabia.ORCID 0000-0003-3439-6413

Funding

NSFC 61772280, 61772454, 61811530332, 61811540410
6 · The paper itself

Abstract

In the IoT (Internet of Things) environment, smart homes, smart grids, and telematics constantly generate data with complex attributes. These data have low heterogeneity and poor interoperability, which brings difficulties to data management and value mining. The promising combination of blockchain and the Internet of things as BCoT (blockchain of things) can solve these problems. This paper introduces an innovative method DCOMB (dual combination Bloom filter) to firstly convert the computational power of bitcoin mining into the computational power of query. Furthermore, this article uses the DCOMB method to build blockchain-based IoT data query model. DCOMB can implement queries only through mining hash calculation. This model combines the data stream of the IoT with the timestamp of the blockchain, improving the interoperability of data and the versatility of the IoT database system. The experiment results show that the random reading performance of DCOMB query is higher than that of COMB (combination Bloom filter), and the error rate of DCOMB is lower. Meanwhile, both DCOMB and COMB query performance are better than MySQL (My Structured Query Language).

Indexed as

blockchaincloud storagehash queryIoT data

Identifiers

PMID31905910
PMCPMC6982918

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.