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Optimizing spatial and temporal reuse in wireless networks by decentralized partially observable markov decision processes

Tutkimustuotosvertaisarvioitu

Standard

Optimizing spatial and temporal reuse in wireless networks by decentralized partially observable markov decision processes. / Pajarinen, Joni; Hottinen, Ari; Peltonen, Jaakko.

julkaisussa: IEEE Transactions on Mobile Computing, Vuosikerta 13, Nro 4, 6482133, 04.2014, s. 866-879.

Tutkimustuotosvertaisarvioitu

Harvard

Pajarinen, J, Hottinen, A & Peltonen, J 2014, 'Optimizing spatial and temporal reuse in wireless networks by decentralized partially observable markov decision processes', IEEE Transactions on Mobile Computing, Vuosikerta. 13, Nro 4, 6482133, Sivut 866-879. https://doi.org/10.1109/TMC.2013.39

APA

Pajarinen, J., Hottinen, A., & Peltonen, J. (2014). Optimizing spatial and temporal reuse in wireless networks by decentralized partially observable markov decision processes. IEEE Transactions on Mobile Computing, 13(4), 866-879. [6482133]. https://doi.org/10.1109/TMC.2013.39

Vancouver

Pajarinen J, Hottinen A, Peltonen J. Optimizing spatial and temporal reuse in wireless networks by decentralized partially observable markov decision processes. IEEE Transactions on Mobile Computing. 2014 huhti;13(4):866-879. 6482133. https://doi.org/10.1109/TMC.2013.39

Author

Pajarinen, Joni ; Hottinen, Ari ; Peltonen, Jaakko. / Optimizing spatial and temporal reuse in wireless networks by decentralized partially observable markov decision processes. Julkaisussa: IEEE Transactions on Mobile Computing. 2014 ; Vuosikerta 13, Nro 4. Sivut 866-879.

Bibtex - Lataa

@article{bdc1a415463c470793c9b63694e928f2,
title = "Optimizing spatial and temporal reuse in wireless networks by decentralized partially observable markov decision processes",
abstract = "The performance of medium access control (MAC) depends on both spatial locations and traffic patterns of wireless agents. In contrast to conventional MAC policies, we propose a MAC solution that adapts to the prevailing spatial and temporal opportunities. The proposed solution is based on a decentralized partially observable Markov decision process (DEC-POMDP), which is able to handle wireless network dynamics described by a Markov model. A DEC-POMDP takes both sensor noise and partial observations into account, and yields MAC policies that are optimal for the network dynamics model. The DEC-POMDP MAC policies can be optimized for a freely chosen goal, such as maximal throughput or minimal latency, with the same algorithm. We make approximate optimization efficient by exploiting problem structure: the policies are optimized by a factored DEC-POMDP method, yielding highly compact state machine representations for MAC policies. Experiments show that our approach yields higher throughput and lower latency than CSMA/CA based comparison methods adapted to the current wireless network configuration.",
keywords = "decentralized POMDP, medium access control, multi-agent planning, Spatial reuse, wireless network",
author = "Joni Pajarinen and Ari Hottinen and Jaakko Peltonen",
year = "2014",
month = "4",
doi = "10.1109/TMC.2013.39",
language = "English",
volume = "13",
pages = "866--879",
journal = "IEEE Transactions on Mobile Computing",
issn = "1536-1233",
publisher = "Institute of Electrical and Electronics Engineers",
number = "4",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Optimizing spatial and temporal reuse in wireless networks by decentralized partially observable markov decision processes

AU - Pajarinen, Joni

AU - Hottinen, Ari

AU - Peltonen, Jaakko

PY - 2014/4

Y1 - 2014/4

N2 - The performance of medium access control (MAC) depends on both spatial locations and traffic patterns of wireless agents. In contrast to conventional MAC policies, we propose a MAC solution that adapts to the prevailing spatial and temporal opportunities. The proposed solution is based on a decentralized partially observable Markov decision process (DEC-POMDP), which is able to handle wireless network dynamics described by a Markov model. A DEC-POMDP takes both sensor noise and partial observations into account, and yields MAC policies that are optimal for the network dynamics model. The DEC-POMDP MAC policies can be optimized for a freely chosen goal, such as maximal throughput or minimal latency, with the same algorithm. We make approximate optimization efficient by exploiting problem structure: the policies are optimized by a factored DEC-POMDP method, yielding highly compact state machine representations for MAC policies. Experiments show that our approach yields higher throughput and lower latency than CSMA/CA based comparison methods adapted to the current wireless network configuration.

AB - The performance of medium access control (MAC) depends on both spatial locations and traffic patterns of wireless agents. In contrast to conventional MAC policies, we propose a MAC solution that adapts to the prevailing spatial and temporal opportunities. The proposed solution is based on a decentralized partially observable Markov decision process (DEC-POMDP), which is able to handle wireless network dynamics described by a Markov model. A DEC-POMDP takes both sensor noise and partial observations into account, and yields MAC policies that are optimal for the network dynamics model. The DEC-POMDP MAC policies can be optimized for a freely chosen goal, such as maximal throughput or minimal latency, with the same algorithm. We make approximate optimization efficient by exploiting problem structure: the policies are optimized by a factored DEC-POMDP method, yielding highly compact state machine representations for MAC policies. Experiments show that our approach yields higher throughput and lower latency than CSMA/CA based comparison methods adapted to the current wireless network configuration.

KW - decentralized POMDP

KW - medium access control

KW - multi-agent planning

KW - Spatial reuse

KW - wireless network

UR - http://www.scopus.com/inward/record.url?scp=84897873909&partnerID=8YFLogxK

U2 - 10.1109/TMC.2013.39

DO - 10.1109/TMC.2013.39

M3 - Article

VL - 13

SP - 866

EP - 879

JO - IEEE Transactions on Mobile Computing

JF - IEEE Transactions on Mobile Computing

SN - 1536-1233

IS - 4

M1 - 6482133

ER -