| Full text | |
| Author(s): |
Sayjari, Tarek
;
Silveira, Regina Melo
;
Margi, Cintia Borges
Total Authors: 3
|
| Document type: | Journal article |
| Source: | SENSORS; v. 23, n. 16, p. 27-pg., 2023-08-01. |
| Abstract | |
Given the improvements to network flexibility and programmability, software-defined wireless sensor networks (SDWSNs) have been paired with IEEE 802.15.4e time-slotted channel hopping (TSCH) to increase network efficiency through slicing. Nonetheless, ensuring the quality of service (QoS) level in a scalable SDWSN remains a significant difficulty. To solve this issue, we introduce the application-aware (AA) scheduling approach, which isolates different traffic types and adapts to QoS requirements dynamically. To the best of our knowledge, this approach is the first to support network scalability using shared timeslots without the use of additional hardware while maintaining the application's QoS level. The AA approach is deeply evaluated compared with both the application traffic isolation (ATI) approach and the application's QoS requirements using the IT-SDN framework and by varying the number of nodes up to 225. The evaluation process took into account up to four applications with varying QoS requirements in terms of delivery rate and delay. In comparison with the ATI approach, the proposed approach enhanced the delivery rate by up to 28% and decreased the delay by up to 57%. Furthermore, even with four applications running concurrently, the AA approach proved capable of meeting a 92% delivery rate requirement for up to 225 nodes and a 900 ms delay requirement for up to 144 nodes. (AU) | |
| FAPESP's process: | 22/07523-8 - Artificial intelligence applied to the internet of things: new technologies for communications |
| Grantee: | Cíntia Borges Margi |
| Support Opportunities: | Regular Research Grants |