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Maximum flow-life curve for a wireless ad hoc network
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Source International Symposium on Mobile Ad Hoc Networking & Computing archive
Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking & computing table of contents
Long Beach, CA, USA
Session: Sensor networks and energy management table of contents
Pages: 128 - 136  
Year of Publication: 2001
ISBN:1-58113-428-2
Authors
Timthoy X. Brown  Electrical and Computer Engineering, University of Colorado, Boulder, CO
Harold N. Gabow  Computer Science, University of Colorado, Boulder, CO
Qi Zhang  Electrical and Computer Engineering, University of Colorado, Boulder, CO
Sponsor
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 39,   Citation Count: 14
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DOI Bookmark: 10.1145/501431.501434

ABSTRACT

This paper proposes a new power aware routing objective for an ad hoc network of battery-limited wireless nodes---the maximum flow-life curve --- that maximizes the traffic flow utility over time. The objective improves upon related objectives such as minimizing the total power or maximizing the time to network partition. To find a routing that maximizes the flow-life curve, we prove an equivalence with a simpler problem and present an algorithm based on linear programming. The efficiency and fairness of the objective are demonstrated on several examples


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
T.X Brown, "Low power wireless communication via reinforcement learning, Advances in NIPS 12, S.A. Solla and T.K. Leen and K.-R. Miiller eds., MIT Press, 2000, pp. 893-899.
 
2
T.X Brown, S. Doshi, and Q. Zhang, "Optimal Power Aware Routing in a Wireless Ad Hoc Network, " LANMAN 2001: 11th IEEE Workshop on Local and Metropolitan Area Networks, pp 102-105, March 2000.
 
3
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4
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CITED BY  14

Collaborative Colleagues:
Timthoy X. Brown: colleagues
Harold N. Gabow: colleagues
Qi Zhang: colleagues