DocumentCode :
3248488
Title :
On the channel-sensitive delay behavior of LIFO-backpressure
Author :
Wei Si ; Starobinski, David
Author_Institution :
Dept. of Electr. & Comput. Eng., Boston Univ., Boston, MA, USA
fYear :
2013
fDate :
2-4 Oct. 2013
Firstpage :
715
Lastpage :
722
Abstract :
In this paper, we study the delay performance of backpressure routing algorithms using LIFO schedulers (LIFO-backpressure). We uncover a surprising behavior in which, under certain channel conditions, the average delay of packets decreases as the traffic load in the network increases. We propose and analyze a queueing-theoretic model under which the scheduler can transmit packets only if the queue length (i.e., the number of packets in the queue) meets or exceeds a threshold, and we show that the model analytically bears out the observed phenomenon. Using matrix geometric methods, we derive a numerical solution for the average packet delay in the general case, and, using z-transform techniques, we further provide closed-form solutions for the average delay in special cases. Our analysis indicates that when the threshold is fixed (as may happen under lossless channel conditions), the average delay increases with increasing traffic load, as expected. On the other hand, when the threshold fluctuates (as may happen under changing, lossy channel conditions), the average delay may decrease, sometimes substantially, with the traffic load. We corroborate these findings with TOSSIM simulations using real channel traces and run on different types of networks.
Keywords :
queueing theory; routing protocols; wireless sensor networks; LIFO backpressure; LIFO schedulers; TOSSIM simulations; average packet delay; backpressure routing algorithms; channel sensitive delay behavior; closed form solutions; lossless channel conditions; matrix geometric methods; queue length; queueing theoretic model; real channel traces; traffic load; z transform techniques; Delays; Equations; Load modeling; Markov processes; Mathematical model; Numerical models; Routing; Backpressure algorithms; data collection protocols; queueing theory; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton Conference on
Conference_Location :
Monticello, IL
Print_ISBN :
978-1-4799-3409-6
Type :
conf
DOI :
10.1109/Allerton.2013.6736595
Filename :
6736595
Link To Document :
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