Sherazi, Hafiz Husnain Raza ORCID: https://orcid.org/0000-0001-8152-4065, Grieco, Luigi Alfredo, Boggia, Gennaro and Imran, Muhammad A. (2020) Cost efficiency optimization for industrial automation. In: Wireless Automation as an Enabler for the Next Industrial Revolution. Wiley, pp. 141-171. ISBN 9781119552635

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Abstract

This chapter aims at shedding light on low power technologies as the key enablers for industrial automation. It discusses the different types of costs involved in harsh industrial environments, with a focus on the damage penalty and battery replenishment costs for the sensor motes deployed across the production line. It analyses the reciprocal relationship and trade-off analysis for these costs to suggest some optimization strategies for ultimate production efficiency. The chapter presents an overview of the aforementioned low energy networking protocols and highlights the key technologies and the results of long range wide area networks evaluation. Energy harvested from renewable energy sources, available in the industrial environment, can dramatically play its role to improve both performance and production efficiency in industry 4.0. Harvesting sources available in the industry are considered to demonstrate the huge cost savings and the great impact of the availability of this surplus energy on the industrial cost optimization process.

Item Type:	Book Section
Identifier:	10.1002/9781119552635.ch7
Keywords:	cost efficiency optimization, industrial automation, industry 4.0, long range wide area networks, sensor nodes, surplus energy
Subjects:	Computing
Related URLs:	Publisher
Depositing User:	Hafiz Husnain Raza Sherazi
Date Deposited:	13 Jul 2021 16:27
Last Modified:	18 Apr 2022 18:46
URI:	https://repository.uwl.ac.uk/id/eprint/8121

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