Conference proceeding
FD-PaS: A Fully Distributed Packet Scheduling Framework for Handling Disturbances in Real-Time Wireless Networks
24TH IEEE REAL-TIME AND EMBEDDED TECHNOLOGY AND APPLICATIONS SYMPOSIUM (RTAS 2018), pp.1-12
IEEE Real-Time and Embedded Technology and Applications Symposium
01/01/2018
DOI: 10.1109/RTAS.2018.00007
Abstract
Along with the rapid growth of Industrial Internetof-Things (IIoT) applications and their penetration into many industry sectors, real-time wireless networks (RTWNs) have been playing a more critical role in providing real-time, reliable and secure communication services for such applications. A key challenge in RTWN management is how to ensure real-time Quality of Services (QoS) especially in the presence of unexpected external and internal disturbances. Most prior work takes a centralized approach for handling disturbances, which is slow and subject to single-point failure, and does not scale. To overcome these drawbacks, this paper presents a fully distributed packet scheduling framework called FD-PaS. FD-PaS aims to provide guaranteed fast response to unexpected disturbances while dropping a minimum number of packets for meeting the deadlines of all critical tasks. To combat the scalability challenge, FD-PaS incorporates several key advances in both algorithm design and data link layer protocol design to enable individual nodes to make on-line decisions locally without any centralized control. Our extensive simulation and testbed results have validated the correctness of the FD-PaS design and demonstrated its effectiveness in providing fast response for handling disturbances.
Details
- Title: Subtitle
- FD-PaS: A Fully Distributed Packet Scheduling Framework for Handling Disturbances in Real-Time Wireless Networks
- Creators
- Tianyu Zhang - University of Notre DameTao Gong - University of ConnecticutZelin Yun - University of ConnecticutSong Han - University of ConnecticutQingxu Deng - Northeastern UniversityXiaobo Sharon Hu - University of Notre Dame
- Contributors
- R Pellizzoni (Editor)
- Resource Type
- Conference proceeding
- Publication Details
- 24TH IEEE REAL-TIME AND EMBEDDED TECHNOLOGY AND APPLICATIONS SYMPOSIUM (RTAS 2018), pp.1-12
- Publisher
- IEEE
- Series
- IEEE Real-Time and Embedded Technology and Applications Symposium
- DOI
- 10.1109/RTAS.2018.00007
- ISSN
- 1545-3421
- eISSN
- 2642-7346
- Number of pages
- 12
- Grant note
- collaborative innovation center of major machine manufacturing in Liaoning 61528202; 61472072 / NSF of China; National Natural Science Foundation of China (NSFC) CNS-1319904; ECCS-1446157 / U.S. NSF; National Science Foundation (NSF)
- Language
- English
- Date published
- 01/01/2018
- Academic Unit
- Computer Science
- Record Identifier
- 9984696708702771
Metrics
1 Record Views