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QoS‐aware packet forwarding in MIMO sensor networks: a cross‐layer approach
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Zeitschriftentitel: | Wireless Communications and Mobile Computing |
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Personen und Körperschaften: | , , , |
In: | Wireless Communications and Mobile Computing, 10, 2010, 6, S. 748-757 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
Wiley
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Schlagwörter: |
author_facet |
Song, Lingyang Zhang, Yan Yu, Rong Yao, Wenqing Song, Lingyang Zhang, Yan Yu, Rong Yao, Wenqing |
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author |
Song, Lingyang Zhang, Yan Yu, Rong Yao, Wenqing |
spellingShingle |
Song, Lingyang Zhang, Yan Yu, Rong Yao, Wenqing Wireless Communications and Mobile Computing QoS‐aware packet forwarding in MIMO sensor networks: a cross‐layer approach Electrical and Electronic Engineering Computer Networks and Communications Information Systems |
author_sort |
song, lingyang |
spelling |
Song, Lingyang Zhang, Yan Yu, Rong Yao, Wenqing 1530-8669 1530-8677 Wiley Electrical and Electronic Engineering Computer Networks and Communications Information Systems http://dx.doi.org/10.1002/wcm.786 <jats:title>Abstract</jats:title><jats:p>Multiple‐input multiple‐output (MIMO) enabled wireless sensor networks (WSNs) are becoming increasingly important since significant performance enhancement can be realized. In this paper, we propose a packet forward strategy for MIMO sensor networks by jointly considering channel coding, rate adaptation, and power allocation. Each sensor node has multiple antennas and uses orthogonal space time block codes (OSTBC) to exploit both spatial and temporal diversities. The objective is to determine the optimal routing path that achieves the minimum symbol error rate (SER) subject to the source‐to‐destination (S‐D) energy consumption constraint. This SER‐based quality‐of‐service (QoS) aware packet forwarding problem is formulated into the framework of dynamic programming (DP). We then propose a low‐complexity and near‐optimal approach to considerably reduce the computation complexity, which includes state space partition and state aggregation techniques. Simulations indicate that the proposed protocol significantly outperforms traditional algorithms. Further still, the performance gain increases with tighter S‐D energy constraint. Copyright © 2009 John Wiley & Sons, Ltd.</jats:p> QoS‐aware packet forwarding in MIMO sensor networks: a cross‐layer approach Wireless Communications and Mobile Computing |
doi_str_mv |
10.1002/wcm.786 |
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Wiley, 2010 |
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2010 |
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Wiley |
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Wireless Communications and Mobile Computing |
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title |
QoS‐aware packet forwarding in MIMO sensor networks: a cross‐layer approach |
title_unstemmed |
QoS‐aware packet forwarding in MIMO sensor networks: a cross‐layer approach |
title_full |
QoS‐aware packet forwarding in MIMO sensor networks: a cross‐layer approach |
title_fullStr |
QoS‐aware packet forwarding in MIMO sensor networks: a cross‐layer approach |
title_full_unstemmed |
QoS‐aware packet forwarding in MIMO sensor networks: a cross‐layer approach |
title_short |
QoS‐aware packet forwarding in MIMO sensor networks: a cross‐layer approach |
title_sort |
qos‐aware packet forwarding in mimo sensor networks: a cross‐layer approach |
topic |
Electrical and Electronic Engineering Computer Networks and Communications Information Systems |
url |
http://dx.doi.org/10.1002/wcm.786 |
publishDate |
2010 |
physical |
748-757 |
description |
<jats:title>Abstract</jats:title><jats:p>Multiple‐input multiple‐output (MIMO) enabled wireless sensor networks (WSNs) are becoming increasingly important since significant performance enhancement can be realized. In this paper, we propose a packet forward strategy for MIMO sensor networks by jointly considering channel coding, rate adaptation, and power allocation. Each sensor node has multiple antennas and uses orthogonal space time block codes (OSTBC) to exploit both spatial and temporal diversities. The objective is to determine the optimal routing path that achieves the minimum symbol error rate (SER) subject to the source‐to‐destination (S‐D) energy consumption constraint. This SER‐based quality‐of‐service (QoS) aware packet forwarding problem is formulated into the framework of dynamic programming (DP). We then propose a low‐complexity and near‐optimal approach to considerably reduce the computation complexity, which includes state space partition and state aggregation techniques. Simulations indicate that the proposed protocol significantly outperforms traditional algorithms. Further still, the performance gain increases with tighter S‐D energy constraint. Copyright © 2009 John Wiley & Sons, Ltd.</jats:p> |
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author | Song, Lingyang, Zhang, Yan, Yu, Rong, Yao, Wenqing |
author_facet | Song, Lingyang, Zhang, Yan, Yu, Rong, Yao, Wenqing, Song, Lingyang, Zhang, Yan, Yu, Rong, Yao, Wenqing |
author_sort | song, lingyang |
container_issue | 6 |
container_start_page | 748 |
container_title | Wireless Communications and Mobile Computing |
container_volume | 10 |
description | <jats:title>Abstract</jats:title><jats:p>Multiple‐input multiple‐output (MIMO) enabled wireless sensor networks (WSNs) are becoming increasingly important since significant performance enhancement can be realized. In this paper, we propose a packet forward strategy for MIMO sensor networks by jointly considering channel coding, rate adaptation, and power allocation. Each sensor node has multiple antennas and uses orthogonal space time block codes (OSTBC) to exploit both spatial and temporal diversities. The objective is to determine the optimal routing path that achieves the minimum symbol error rate (SER) subject to the source‐to‐destination (S‐D) energy consumption constraint. This SER‐based quality‐of‐service (QoS) aware packet forwarding problem is formulated into the framework of dynamic programming (DP). We then propose a low‐complexity and near‐optimal approach to considerably reduce the computation complexity, which includes state space partition and state aggregation techniques. Simulations indicate that the proposed protocol significantly outperforms traditional algorithms. Further still, the performance gain increases with tighter S‐D energy constraint. Copyright © 2009 John Wiley & Sons, Ltd.</jats:p> |
doi_str_mv | 10.1002/wcm.786 |
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imprint | Wiley, 2010 |
imprint_str_mv | Wiley, 2010 |
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series | Wireless Communications and Mobile Computing |
source_id | 49 |
spelling | Song, Lingyang Zhang, Yan Yu, Rong Yao, Wenqing 1530-8669 1530-8677 Wiley Electrical and Electronic Engineering Computer Networks and Communications Information Systems http://dx.doi.org/10.1002/wcm.786 <jats:title>Abstract</jats:title><jats:p>Multiple‐input multiple‐output (MIMO) enabled wireless sensor networks (WSNs) are becoming increasingly important since significant performance enhancement can be realized. In this paper, we propose a packet forward strategy for MIMO sensor networks by jointly considering channel coding, rate adaptation, and power allocation. Each sensor node has multiple antennas and uses orthogonal space time block codes (OSTBC) to exploit both spatial and temporal diversities. The objective is to determine the optimal routing path that achieves the minimum symbol error rate (SER) subject to the source‐to‐destination (S‐D) energy consumption constraint. This SER‐based quality‐of‐service (QoS) aware packet forwarding problem is formulated into the framework of dynamic programming (DP). We then propose a low‐complexity and near‐optimal approach to considerably reduce the computation complexity, which includes state space partition and state aggregation techniques. Simulations indicate that the proposed protocol significantly outperforms traditional algorithms. Further still, the performance gain increases with tighter S‐D energy constraint. Copyright © 2009 John Wiley & Sons, Ltd.</jats:p> QoS‐aware packet forwarding in MIMO sensor networks: a cross‐layer approach Wireless Communications and Mobile Computing |
spellingShingle | Song, Lingyang, Zhang, Yan, Yu, Rong, Yao, Wenqing, Wireless Communications and Mobile Computing, QoS‐aware packet forwarding in MIMO sensor networks: a cross‐layer approach, Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems |
title | QoS‐aware packet forwarding in MIMO sensor networks: a cross‐layer approach |
title_full | QoS‐aware packet forwarding in MIMO sensor networks: a cross‐layer approach |
title_fullStr | QoS‐aware packet forwarding in MIMO sensor networks: a cross‐layer approach |
title_full_unstemmed | QoS‐aware packet forwarding in MIMO sensor networks: a cross‐layer approach |
title_short | QoS‐aware packet forwarding in MIMO sensor networks: a cross‐layer approach |
title_sort | qos‐aware packet forwarding in mimo sensor networks: a cross‐layer approach |
title_unstemmed | QoS‐aware packet forwarding in MIMO sensor networks: a cross‐layer approach |
topic | Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems |
url | http://dx.doi.org/10.1002/wcm.786 |