Abstract
A smart factory in Industry 4.0 requires the exchange of sensing and control messages over a wireless sensor network. Communication typically has real-time constraints and the nodes are densely deployed. Thus, multiple sink nodes are necessary in order to ensure schedulability. This paper deals with the multiple sink scheduling problem, requiring an allocation policy for messages over the sinks, as well as per-sink message scheduling. The objective of the optimization is to jointly minimize the number of the required sinks while respecting the limitations of the underlying protocols and scheduling the real-time message set. We present a heuristic algorithm and preliminary results that demonstrate its efficacy.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Embedded Wireless Systems and Networks, EWSN 2018 |
| Editors | Domenico Giustiniano, Dimitrios Koutsonikolas |
| Publisher | Junction Publishing |
| Pages | 185-186 |
| Number of pages | 2 |
| ISBN (Print) | 9780994988621 |
| Publication status | Published - 2018 |
| Event | International Conference on Embedded Wireless Systems and Networks, EWSN 2018 - Madrid, Spain Duration: 14 Feb 2018 → 16 Feb 2018 |
Publication series
| Name | International Conference on Embedded Wireless Systems and Networks |
|---|---|
| ISSN (Electronic) | 2562-2331 |
Conference
| Conference | International Conference on Embedded Wireless Systems and Networks, EWSN 2018 |
|---|---|
| Country/Territory | Spain |
| City | Madrid |
| Period | 14/02/18 → 16/02/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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