Delay Analysis of Maximum Weight Scheduling in Wireless Ad Hoc Networks

This paper studies delay properties of the well-known maximum weight scheduling algorithm in wireless ad hoc networks. We consider wireless networks with either one-hop or multihop flows. Specifically, this paper shows that the maximum weight scheduling algorithm achieves order optimal delay for wir...

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Bibliographic Details
Main Authors: Modiano, Eytan H. (Contributor), Le, Long Bao (Contributor), Jagannathan, Krishna Prasanna (Contributor)
Other Authors: Massachusetts Institute of Technology. Communications and Networking Research Group (Contributor), Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2010-11-04T21:03:49Z.
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Online Access:Get fulltext
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042 |a dc 
100 1 0 |a Modiano, Eytan H.  |e author 
100 1 0 |a Massachusetts Institute of Technology. Communications and Networking Research Group  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Department of Aeronautics and Astronautics  |e contributor 
100 1 0 |a Modiano, Eytan H.  |e contributor 
100 1 0 |a Modiano, Eytan H.  |e contributor 
100 1 0 |a Le, Long Bao  |e contributor 
100 1 0 |a Jagannathan, Krishna Prasanna  |e contributor 
700 1 0 |a Le, Long Bao  |e author 
700 1 0 |a Jagannathan, Krishna Prasanna  |e author 
245 0 0 |a Delay Analysis of Maximum Weight Scheduling in Wireless Ad Hoc Networks 
260 |b Institute of Electrical and Electronics Engineers,   |c 2010-11-04T21:03:49Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/59823 
520 |a This paper studies delay properties of the well-known maximum weight scheduling algorithm in wireless ad hoc networks. We consider wireless networks with either one-hop or multihop flows. Specifically, this paper shows that the maximum weight scheduling algorithm achieves order optimal delay for wireless ad hoc networks with single-hop traffic flows if the number of activated links in one typical schedule is of the same order as the number of links in the network. This condition would be satisfied for most practical wireless networks. This result holds for both i.i.d and Markov modulated arrival processes with two states. For the multi-hop flow case, we also derive tight backlog bounds in the order sense. 
520 |a Natural Sciences and Engineering Research Council of Canada 
520 |a United States. Army Research Office (ARO Muri grant number W911NF-08-1-0238) 
546 |a en_US 
655 7 |a Article 
773 |t 43rd Annual Conference on Information Sciences and Systems, 2009. CISS 2009