Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Variational Onsager Neural Networks based Fair proof-of- reputation consensus for blockchain with Transaction Prioritization for Smart Cities

View through CrossRef
Abstract Smart cities are next frontier of technology in today's technology-driven world, striving to improve the quality of people's lives. Numerous research projects concentrate on future smart cities, taking comprehensive method to smart city growth, achieving an overall smart city vision. The Variational Onsager Neural Networks based Fair proof-of-reputation consensus for block chain with Transaction Prioritization for Smart Cities (VONN-FPORC-TP-SC) is proposed for transaction prioritization in smart cities. Block chain, as a decentralised immutable ledger, has potential to boost smart city growth by ensuring transparency, data safety, dependability, efficacy, interoperability, privacy, making it promising match for smart cities. Such instance, if existing fee-depend or first-come-first-served processing is applied, emergency events delayed owing to competition, risking people's lives. Here use Variational Onsager Neural Networks (VONN) approach to accomplish efficient leader election and build a Weighted Byzantine Fault Tolerance consensus algorithm mechanism in this consensus protocol. A peer-prediction based verification technique is also presented to verify that followers' assessments of the leaders' created blocks are honest. Also, because leader will assure transaction prioritisation though creating blocks, leader rotation, and correct election method become critical for transaction prioritisation process to taken place honestly, quickly on FPoR: fair proof-of-reputation consensus for block chain. The proposed VONN-FPORC-TP-SC method is implemented on MATLAB R2019b. Then performance of proposed method is analysed with other existing techniques. The proposed method attains 28.86%, 24.47% and 31.79% higher accuracy, 18.25%, 32.27% and 26.89% higher efficiency, and 23.21%, 17.36% and 32.35% higher Robustness comparing with the existing methods such as a ML-improved block chain consensus with transaction prioritization for smart cities (ML-BC-TP-SC), block chain and smart contracts to secure property transactions in smart cities (BCS-TP-SC), presented an Edge TC-a PBFT block chain-depend ETC system for smart cities (PBFT-ETC-TP-SC) respectively.
Title: Variational Onsager Neural Networks based Fair proof-of- reputation consensus for blockchain with Transaction Prioritization for Smart Cities
Description:
Abstract Smart cities are next frontier of technology in today's technology-driven world, striving to improve the quality of people's lives.
Numerous research projects concentrate on future smart cities, taking comprehensive method to smart city growth, achieving an overall smart city vision.
The Variational Onsager Neural Networks based Fair proof-of-reputation consensus for block chain with Transaction Prioritization for Smart Cities (VONN-FPORC-TP-SC) is proposed for transaction prioritization in smart cities.
Block chain, as a decentralised immutable ledger, has potential to boost smart city growth by ensuring transparency, data safety, dependability, efficacy, interoperability, privacy, making it promising match for smart cities.
Such instance, if existing fee-depend or first-come-first-served processing is applied, emergency events delayed owing to competition, risking people's lives.
Here use Variational Onsager Neural Networks (VONN) approach to accomplish efficient leader election and build a Weighted Byzantine Fault Tolerance consensus algorithm mechanism in this consensus protocol.
A peer-prediction based verification technique is also presented to verify that followers' assessments of the leaders' created blocks are honest.
Also, because leader will assure transaction prioritisation though creating blocks, leader rotation, and correct election method become critical for transaction prioritisation process to taken place honestly, quickly on FPoR: fair proof-of-reputation consensus for block chain.
The proposed VONN-FPORC-TP-SC method is implemented on MATLAB R2019b.
Then performance of proposed method is analysed with other existing techniques.
The proposed method attains 28.
86%, 24.
47% and 31.
79% higher accuracy, 18.
25%, 32.
27% and 26.
89% higher efficiency, and 23.
21%, 17.
36% and 32.
35% higher Robustness comparing with the existing methods such as a ML-improved block chain consensus with transaction prioritization for smart cities (ML-BC-TP-SC), block chain and smart contracts to secure property transactions in smart cities (BCS-TP-SC), presented an Edge TC-a PBFT block chain-depend ETC system for smart cities (PBFT-ETC-TP-SC) respectively.

Related Results

Cryptoeconomics
Cryptoeconomics
Cryptoeconomics refers to the economic analysis of blockchain technology. This research area can be divided into two broad sub-fields. In that context, one sub-field is the study o...
Investigating the influence of organizational factors on blockchain adoption
Investigating the influence of organizational factors on blockchain adoption
Purpose Blockchain possesses the potential to disrupt and reshape a plethora of industries in the next decade. However, blockchain adoption rates in technology ...
IoE in Smart Cities: Applications, Enabling Technologies, Challenges, and Future Trends
IoE in Smart Cities: Applications, Enabling Technologies, Challenges, and Future Trends
The innovative concept of smart cities drives economic growth and provides a standard of life through better services to the citizens. The incorporation of advanced technologies in...
Technical Analysis in Financial Markets
Technical Analysis in Financial Markets
The efficient markets hypothesis states that in highly competitive and developed markets it is impossible to derive a trading strategy that can generate persistent excess profits a...
Convergence and representation of blockchain and smart contracts using the semantic web
Convergence and representation of blockchain and smart contracts using the semantic web
The Internet and the World Wide Web were designed with the intention of being decentralised and interoperable, and therefore more democratic, where users have power over their data...
Proactive visual and motor prioritization differentially scale with cue reliability
Proactive visual and motor prioritization differentially scale with cue reliability
Abstract Environmental cues enable the brain to anticipate and prepare for upcoming behavior, such as by selectively prioritizing relevant visual representations an...
La qualification de la blockchain
La qualification de la blockchain
La création de la blockchain a remis en question les notions traditionnelles de collaboration et d'échange. Cette thèse vise à démontrer que cette innovation n'est pas seulement te...
Dividend Yields, Stock Returns and Reputation
Dividend Yields, Stock Returns and Reputation
Problem/Relevance - The relationship between dividend yields and stock returns is an unresolved issue in finance. Previous papers show mixed results on the relationship. To clarify...

Back to Top