Stability analysis of multiple state-based schedulers with CSMA
2012 (English)In: 2012 IEEE 51st Annual Conference on Decision and Control (CDC), IEEE conference proceedings, 2012, 7205-7211 p.Conference paper (Refereed)
In this paper, we identify sufficient conditions for Lyapunov Mean Square Stability (LMSS) of a contention-based network of first-order systems, with state-based schedulers. The stability analysis helps us to choose policies for adapting the scheduler threshold to the delay from the network and scheduler. We show that three scheduling laws can result in LMSS: constant-probability laws and additively increasing or decreasing probability laws. Our results counter the notions that increasing probability scheduling laws alone can guarantee stability of the closed-loop system, or that decreasing probability scheduling laws are required to mitigate congestion in the network.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2012. 7205-7211 p.
, IEEE Conference on Decision and Control. Proceedings, ISSN 0191-2216
Closed loop systems, Customer relationship management, Delay, Estimation error, Markov processes, Stability analysis, Steady-state
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-111461DOI: 10.1109/CDC.2012.6426068ISI: 000327200407072ScopusID: 2-s2.0-84874234336ISBN: 978-1-4673-2064-1OAI: oai:DiVA.org:kth-111461DiVA: diva2:586449
51st IEEE Conference on Decision and Control, CDC 2012; Maui, HI; United States; 10 December 2012 through 13 December 2012
FunderICT - The Next Generation
QC 201301162013-02-152013-01-112013-12-19Bibliographically approved