Improved Bounds on the Throughput Efficiency of Greedy Maximal Scheduling in Wireless Networks
In this paper, we derive new bounds on the throughput efficiency of Greedy Maximal Scheduling (GMS) for wireless networks of arbitrary topology under the general k -hop interference model. These results improve the known bounds for networks with up to 26 nodes under the 2-hop interference model. We...
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Published in | IEEE/ACM transactions on networking Vol. 19; no. 3; pp. 709 - 720 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.06.2011
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
ISSN | 1063-6692 1558-2566 |
DOI | 10.1109/TNET.2010.2089534 |
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Abstract | In this paper, we derive new bounds on the throughput efficiency of Greedy Maximal Scheduling (GMS) for wireless networks of arbitrary topology under the general k -hop interference model. These results improve the known bounds for networks with up to 26 nodes under the 2-hop interference model. We also prove that GMS is throughput-optimal in small networks. In particular, we show that GMS achieves 100% throughput in networks with up to eight nodes under the 2-hop interference model. Furthermore, we provide a simple proof to show that GMS can be implemented using only local neighborhood information in networks of any size. |
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AbstractList | In this paper, we derive new bounds on the throughput efficiency of Greedy Maximal Scheduling (GMS) for wireless networks of arbitrary topology under the general k -hop interference model. These results improve the known bounds for networks with up to 26 nodes under the 2-hop interference model. We also prove that GMS is throughput-optimal in small networks. In particular, we show that GMS achieves 100% throughput in networks with up to eight nodes under the 2-hop interference model. Furthermore, we provide a simple proof to show that GMS can be implemented using only local neighborhood information in networks of any size. In this paper, we derive new bounds on the throughput efficiency of Greedy Maximal Scheduling (GMS) for wireless networks of arbitrary topology under the general [Formula Omitted]-hop interference model. These results improve the known bounds for networks with up to 26 nodes under the 2-hop interference model. We also prove that GMS is throughput-optimal in small networks. In particular, we show that GMS achieves 100% throughput in networks with up to eight nodes under the 2-hop interference model. Furthermore, we provide a simple proof to show that GMS can be implemented using only local neighborhood information in networks of any size. |
Author | Srikant, R Leconte, M Jian Ni |
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SubjectTerms | Computational modeling Greedy Maximal Scheduling (GMS) Interference Longest Queue First (LQF) Networks Numerical models Proving Schedules Scheduling Scheduling algorithm Throughput throughput optimality Topology Wireless networks |
Title | Improved Bounds on the Throughput Efficiency of Greedy Maximal Scheduling in Wireless Networks |
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