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

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 207 ◽  
Author(s):  
Yongjun Ren ◽  
Fujian Zhu ◽  
Pradip Kumar Sharma ◽  
Tian Wang ◽  
Jin Wang ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Grids ◽  
Query Language ◽  
Bloom Filter ◽  
Reading Performance ◽  
Computational Power ◽  
Computing Power ◽  
Data Query ◽  
Internet Of Things Environment ◽  
The Internet Of Things

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).

scholarly journals Fault Diagnosis Method for a Mine Hoist in the Internet of Things Environment

Sensors ◽  
2018 ◽  
Vol 18 (6) ◽  
pp. 1920 ◽  
Author(s):  
Juanli Li ◽  
Jiacheng Xie ◽  
Zhaojian Yang ◽  
Junjie Li
Keyword(s):  
Fault Diagnosis ◽  
Internet Of Things ◽  
The Internet ◽  
Internet Of Things Environment ◽  
Diagnosis Method ◽  
Mine Hoist ◽  
The Internet Of Things

scholarly journals Beamforming Optimization in Internet of Things Applications Using Robust Swarm Algorithm in Conjunction with Connectable and Collaborative Sensors

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2048 ◽  
Author(s):  
Mohammed Zaki Hasan ◽  
Hussain Al-Rizzo
Keyword(s):  
Internet Of Things ◽  
Antenna Arrays ◽  
Smart Grids ◽  
Network Connectivity ◽  
Base Station ◽  
Node Selection ◽  
Swarm Optimization ◽  
Selection Scheme ◽  
Multihop Relaying ◽  
The Internet Of Things

The integration of the Internet of Things (IoT) with Wireless Sensor Networks (WSNs) typically involves multihop relaying combined with sophisticated signal processing to serve as an information provider for several applications such as smart grids, industrial, and search-and-rescue operations. These applications entail deploying many sensors in environments that are often random which motivated the study of beamforming using random geometric topologies. This paper introduces a new algorithm for the synthesis of several geometries of Collaborative Beamforming (CB) of virtual sensor antenna arrays with maximum mainlobe and minimum sidelobe levels (SLL) as well as null control using Canonical Swarm Optimization (CPSO) algorithm. The optimal beampattern is achieved by optimizing the current excitation weights for uniform and non-uniform interelement spacings based on the network connectivity of the virtual antenna arrays using a node selection scheme. As compared to conventional beamforming, convex optimization, Genetic Algorithm (GA), and Particle Swarm Optimization (PSO), the proposed CPSO achieves significant reduction in SLL, control of nulls, and increased gain in mainlobe directed towards the desired base station when the node selection technique is implemented with CB.

Opinion on Different Classification Algorithms Used in Internet of Things Environment for Large Data Set

2019 ◽  
Vol 9 (1) ◽  
pp. 51-60
Author(s):  
Akhil Bansal ◽  
Piyush Kumar Shukla ◽  
Manish Kumar Ahirwar
Keyword(s):  
Internet Of Things ◽  
Economic Benefit ◽  
Cross Validation ◽  
Large Data ◽  
Classification Algorithms ◽  
Large Dataset ◽  
Data Set ◽  
Survey Article ◽  
Internet Of Things Environment ◽  
The Internet Of Things

Nowadays, IoT is an emerging technique and has evolved in many areas such as healthcare, smart homes, agriculture, smart city, education, industries, automation, etc. Many sensor and actuator-based devices deployed in these areas collect data or sense the environment. This data is further used to classify the complicated problem related to the particular environment around us, which also increases efficiency, productivity, accuracy and the economic benefit of the devices. The main aim of this survey article is how the data collected by these sensors in the Internet of Things-based applications are handled and classified by classification algorithms. This survey article also identifies various classification algorithms such as KNN, Random forest logistic regression, SVM with different parameters, such as accuracy cross validation, etc., applied on the large dataset generated by sensor-based devices in various IoT-based applications to classify it. In addition, this article also gives a brief review on advance IoT called CIoT.

scholarly journals A flexible encryption technique for the internet of things environment

2020 ◽  
Vol 106 ◽  
pp. 102240
Author(s):  
Saci Medileh ◽  
Abdelkader Laouid ◽  
El Moatez Billah Nagoudi ◽  
Reinhardt Euler ◽  
Ahcène Bounceur ◽  
...  
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Internet Of Things Environment ◽  
The Internet Of Things

scholarly journals Analysis of Mutual Couple Effect of UHF RFID Antenna for the Internet of Things Environment

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 81451-81465 ◽  
Author(s):  
Guolong Shi ◽  
Yigang He ◽  
Baiqiang Yin ◽  
Lei Zuo ◽  
Peiliang She ◽  
...  
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Uhf Rfid ◽  
Internet Of Things Environment ◽  
Couple Effect ◽  
The Internet Of Things

scholarly journals Bloom filter–based efficient broadcast algorithm for the Internet of things

2017 ◽  
Vol 13 (12) ◽  
pp. 155014771774974 ◽  
Author(s):  
Anum Talpur ◽  
Faisal K Shaikh ◽  
Thomas Newe ◽  
Adil A Sheikh ◽  
Emad Felemban ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Bloom Filter ◽  
The Internet ◽  
The Internet Of Things
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