Fusion of the Brooks–Iyengar Algorithm and Blockchain in Decentralization of the Data-Source
Information fusion has been a topic of immense interest owing to its applicability in various applications. This brings to the fore the need for a flexible and accurate fusion algorithm that can be versatile. The Brooks–Iyengar algorithm is one such fusion algorithm. It has since its incep...
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doaj-bc20ee2fa8e94100a85ddcad8f68b1352020-11-24T21:23:09ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082019-03-01811710.3390/jsan8010017jsan8010017Fusion of the Brooks–Iyengar Algorithm and Blockchain in Decentralization of the Data-SourceSitharama S. Iyengar0Sanjeev Kaushik Ramani1Buke Ao2School of Computing and Information Sciences, Florida International University, Miami, FL 33199, USASchool of Computing and Information Sciences, Florida International University, Miami, FL 33199, USADepartment of Information and Communication, Beijing University of Posts and Telecommunications, Haidian District, Beijing 100876, ChinaInformation fusion has been a topic of immense interest owing to its applicability in various applications. This brings to the fore the need for a flexible and accurate fusion algorithm that can be versatile. The Brooks–Iyengar algorithm is one such fusion algorithm. It has since its inception found numerous applications that deal with the fusion of data from multiple sources. The uniqueness of the Brooks–Iyengar algorithm is the ease with which the data from multiple sensors in a local system can be fused and also reach consensus in a distributed system with the added capability of fault tolerance. Blockchain has found its use as a distributed ledger and has successfully supported and fueled many crypto-currencies over the years. Information fusion with regards to Blockchains is a topic of great research interest in the past couple of years. Since blockchain has no official node, the introduction of a decentralized network and a consensus algorithm is required in making the interactions and exchanges between multiple suppliers easier and thus leads to business being carried out without any hassles. In this paper, we attempt to understand and describe the deployment of multiple sensors to measure various aspects of the physical world. We discuss a novel technique of employing the Brooks–Iyengar algorithm in the design of the system that would decentralize the data source from the corresponding measurements and thus ensure the integrity of the transactions in the Blockchain. Finally, a theoretical analysis of the performance of the algorithm when used in a blockchain based decentralized environment is also discussed.http://www.mdpi.com/2224-2708/8/1/17wireless sensor networkdistributed inferenceblockchainsBrooks–Iyengar algorithminformation fusionsmart grids |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sitharama S. Iyengar Sanjeev Kaushik Ramani Buke Ao |
spellingShingle |
Sitharama S. Iyengar Sanjeev Kaushik Ramani Buke Ao Fusion of the Brooks–Iyengar Algorithm and Blockchain in Decentralization of the Data-Source Journal of Sensor and Actuator Networks wireless sensor network distributed inference blockchains Brooks–Iyengar algorithm information fusion smart grids |
author_facet |
Sitharama S. Iyengar Sanjeev Kaushik Ramani Buke Ao |
author_sort |
Sitharama S. Iyengar |
title |
Fusion of the Brooks–Iyengar Algorithm and Blockchain in Decentralization of the Data-Source |
title_short |
Fusion of the Brooks–Iyengar Algorithm and Blockchain in Decentralization of the Data-Source |
title_full |
Fusion of the Brooks–Iyengar Algorithm and Blockchain in Decentralization of the Data-Source |
title_fullStr |
Fusion of the Brooks–Iyengar Algorithm and Blockchain in Decentralization of the Data-Source |
title_full_unstemmed |
Fusion of the Brooks–Iyengar Algorithm and Blockchain in Decentralization of the Data-Source |
title_sort |
fusion of the brooks–iyengar algorithm and blockchain in decentralization of the data-source |
publisher |
MDPI AG |
series |
Journal of Sensor and Actuator Networks |
issn |
2224-2708 |
publishDate |
2019-03-01 |
description |
Information fusion has been a topic of immense interest owing to its applicability in various applications. This brings to the fore the need for a flexible and accurate fusion algorithm that can be versatile. The Brooks–Iyengar algorithm is one such fusion algorithm. It has since its inception found numerous applications that deal with the fusion of data from multiple sources. The uniqueness of the Brooks–Iyengar algorithm is the ease with which the data from multiple sensors in a local system can be fused and also reach consensus in a distributed system with the added capability of fault tolerance. Blockchain has found its use as a distributed ledger and has successfully supported and fueled many crypto-currencies over the years. Information fusion with regards to Blockchains is a topic of great research interest in the past couple of years. Since blockchain has no official node, the introduction of a decentralized network and a consensus algorithm is required in making the interactions and exchanges between multiple suppliers easier and thus leads to business being carried out without any hassles. In this paper, we attempt to understand and describe the deployment of multiple sensors to measure various aspects of the physical world. We discuss a novel technique of employing the Brooks–Iyengar algorithm in the design of the system that would decentralize the data source from the corresponding measurements and thus ensure the integrity of the transactions in the Blockchain. Finally, a theoretical analysis of the performance of the algorithm when used in a blockchain based decentralized environment is also discussed. |
topic |
wireless sensor network distributed inference blockchains Brooks–Iyengar algorithm information fusion smart grids |
url |
http://www.mdpi.com/2224-2708/8/1/17 |
work_keys_str_mv |
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