Conference proceeding
Distributed Successive Packet Scheduling for Multi-Channel Real-Time Wireless Networks
2022 IEEE 28th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), pp.71-80
08/2022
DOI: 10.1109/RTCSA55878.2022.00014
Abstract
With the rapid growth of industrial Internet of Things (IIoT) applications, real-time wireless networks (RTWNs) are playing an increasingly important role in providing realtime, reliable, and secure communication services for these applications. A key challenge in RTWN management is to ensure real-time Quality of Services (QoS), especially in the presence of unexpected external (i.e., application-side) and internal (i.e., network-side) disturbances. This paper presents a novel framework, DS-PaS, to determine the packet transmission schedule for multi-channel multi-hop RTWNs at the data link layer in a distributed and dynamic fashion. DS-PaS is able to (i) handle external disturbances, (ii) support spatial reuse, (iii) meet deadlines of all critical tasks, and (iv) minimize the number of dropped non-critical packets. To avoid transmission collisions when using inconsistent information in a distributed framework, DS-PaS incorporates several key advances in both the data-link layer protocol and algorithm design so that individual nodes can build on-line schedules with only local interference information. Extensive evaluation based on both testbed implementation and simulation validates the correctness of the DS-PaS design and demonstrates its effectiveness compared to the state of the art.
Details
- Title: Subtitle
- Distributed Successive Packet Scheduling for Multi-Channel Real-Time Wireless Networks
- Creators
- Dawei Shen - Northeastern UniversityTianyu Zhang - Northeastern UniversityJiachen Wang - University of ConnecticutQingxu Deng - Northeastern UniversitySong Han - University of ConnecticutXiaobo Sharon Hu - University of Notre Dame
- Resource Type
- Conference proceeding
- Publication Details
- 2022 IEEE 28th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), pp.71-80
- Publisher
- IEEE
- DOI
- 10.1109/RTCSA55878.2022.00014
- ISSN
- 1533-2306
- eISSN
- 2325-1301
- Language
- English
- Date published
- 08/2022
- Academic Unit
- Computer Science
- Record Identifier
- 9984696716102771
Metrics
6 Record Views