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Industrial Internet of Things and Advanced Techniques for Sensor Data Aggregation and Fusion
book

Industrial Internet of Things and Advanced Techniques for Sensor Data Aggregation and Fusion

by Kanak Kalita, S. Vishnu Kumar, M. Niranjanamurthy
April 2026
Intermediate
432 pages
11h 25m
English
Wiley-Scrivener
Content preview from Industrial Internet of Things and Advanced Techniques for Sensor Data Aggregation and Fusion

1Enhancing Privacy and Efficiency in IoT-Enabled Business Information Analytics and Blockchain-Based Contingency

P. Kumaresan* and R. Ramprashath

School of Computer Application, Karpagam College of Engineering, Coimbatore, Tamil Nadu, India

Abstract

In the article, a contingency model to build a sustainable business with the help of Internet of Things (IoT) features is proposed. It aims to identify a target audience, understand their needs, and assess the competitive landscape. IoT-enabled contingent leaders collaborating with partners can bring new opportunities and access to new markets and shared resources. Document all project requirements in detail and share them with your foreign client to confirm that you are on the same page. IoT sensors can provide real-time data to ensure accuracy and transparency. SHA-256 (secure hash algorithm 256-bit) acts as a cryptographic hash function that takes arbitrary data as input and produces a unique fixed-length (in this case, 256 bits) output called a hash. This hash is like a fingerprint of the data; any changes you make to the data result in a completely different hash. Each block in the proof-of-work blockchain contains a header containing various data, including a hash of the previous block. When a new block is mined, miners must find a specific hash value of the block header that meets certain difficulty requirements. SHA-256 is not the only hashing algorithm used in blockchain. Sharing the software requirements with the client ...

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Publisher Resources

ISBN: 9781394275489Purchase Link