Next Article in Journal
A Nonlinear Electromagnetic Energy Harvesting System for Self-Powered Wireless Sensor Nodes
Previous Article in Journal
A Mechanism for Securing IoT-enabled Applications at the Fog Layer
Previous Article in Special Issue
An Interdisciplinary Review of Smart Vehicular Traffic and Its Applications and Challenges
Article Menu
Issue 1 (March) cover image

Export Article

Open AccessArticle
J. Sens. Actuator Netw. 2019, 8(1), 17; https://doi.org/10.3390/jsan8010017

Fusion of the Brooks–Iyengar Algorithm and Blockchain in Decentralization of the Data-Source

1
School of Computing and Information Sciences, Florida International University, Miami, FL 33199, USA
2
Department of Information and Communication, Beijing University of Posts and Telecommunications, Haidian District, Beijing 100876, China
*
Authors to whom correspondence should be addressed.
Received: 26 November 2018 / Revised: 11 February 2019 / Accepted: 23 February 2019 / Published: 6 March 2019
(This article belongs to the Special Issue Sensor and Actuator Networks: Feature Papers)
  |  
PDF [2095 KB, uploaded 6 March 2019]
  |  

Abstract

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. View Full-Text
Keywords: wireless sensor network; distributed inference; blockchains; Brooks–Iyengar algorithm; information fusion; smart grids wireless sensor network; distributed inference; blockchains; Brooks–Iyengar algorithm; information fusion; smart grids
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Iyengar, S.S.; Ramani, S.K.; Ao, B. Fusion of the Brooks–Iyengar Algorithm and Blockchain in Decentralization of the Data-Source. J. Sens. Actuator Netw. 2019, 8, 17.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
J. Sens. Actuator Netw. EISSN 2224-2708 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top