Paper Info
Title
A Framework of Priority-Aware Packet Transmission Scheduling in Cluster-Based Industrial Wireless Sensor Networks
Abstract
Industrial wireless sensor networks (IWSNs) are the fundamental components in the next-generation factories. Due to massive heterogeneous data generated from large-scale IWSNs, it is still challenging to achieve predictable, deterministic, and real-time transmission scheduling. In this article, a framework of priority-aware packet transmission scheduling (PPTS) in cluster-based IWSNs is proposed, where the PPTS strategy, the optimization theory, and the implementation design are systematically considered. In particular, the proposed PPTS strategy not only minimizes the transmission delay of high priority packets but also greatly improves the transmission delay of low priority packets. The optimization theory for end-to-end priority-aware scheduling in cluster-based IWSNs is formalized, which contributes to the optimal solution for multidimensional network resources allocation and achieves the minimum of average transmission delay. Finally, the advantages of the PPTS framework over some existing solutions are demonstrated by a case study.
Year
DOI
Venue
2020
10.1109/TII.2019.2944980
IEEE Transactions on Industrial Informatics
Keywords
DocType
Volume
Job shop scheduling,Sensors,Delays,Optimization,Data communication,Wireless sensor networks
Journal
16
Issue
ISSN
Citations 
8
1551-3203
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Feilong Lin1186.36
Wenbin Dai214.41
Wenbai Li300.34
zhezhuang4377.81
Li-yong Yuan5132.55