Recorp: Receiver-oriented Policies for Industrial Wireless Networks
| Autor: | David E. Stewart, Kowsar Hossain, Octav Chipara, Ryan Brummet, Ted Herman |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Networking and Internet Architecture (cs.NI)
FOS: Computer and information sciences 0209 industrial biotechnology Service (systems architecture) Computer Networks and Communications Wireless network Computer science business.industry media_common.quotation_subject Reliability (computer networking) Time division multiple access Latency (audio) 020206 networking & telecommunications 02 engineering and technology Computer Science - Networking and Internet Architecture 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Key (cryptography) Wireless Quality (business) business media_common Computer network |
| Zdroj: | ACM Transactions on Sensor Networks. 17:1-32 |
| ISSN: | 1550-4867 1550-4859 |
| Popis: | Future Industrial Internet-of-Things (IIoT) systems will require wireless solutions to connect sensors, actuators, and controllers as part of high data rate feedback-control loops over real-time flows. A key challenge in such networks is to provide predictable performance and adaptability in response to link quality variations. We address this challenge by developing RECeiver ORiented Policies (Recorp), which leverages the stability of IIoT workloads by combining offline policy synthesis and run-time adaptation. Compared to schedules that service a single flow in a slot, Recorp policies share slots among multiple flows by assigning a coordinator and a list of flows that may be serviced in the same slot. At run-time, the coordinator will execute one of the flows depending on which flows the coordinator has already received. A salient feature of Recorp is that it provides predictable performance: a policy meets the end-to-end reliability and deadline of flows when the link quality exceeds a user-specified threshold. Experiments show that across IIoT workloads, policies provided a median increase of 50% to 142% in real-time capacity and a median decrease of 27% to 70% in worst-case latency when schedules and policies are configured to meet an end-to-end reliability of 99%. |
| Databáze: | OpenAIRE |
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