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.
| Original language | English |
|---|---|
| Title of host publication | Wireless Automation as an Enabler for the Next Industrial Revolution |
| Publisher | wiley |
| Pages | 141-171 |
| Number of pages | 31 |
| ISBN (Electronic) | 9781119552635 |
| ISBN (Print) | 9781119552611 |
| DOIs | |
| State | Published - 27 Dec 2019 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
-
SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Cost efficiency optimization
- Industrial automation
- Industry 4.0
- Long range wide area networks
- Sensor nodes
- Surplus energy
Fingerprint
Dive into the research topics of 'Cost efficiency optimization for industrial automation'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver