author_facet Song, Lingyang
Zhang, Yan
Yu, Rong
Yao, Wenqing
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Yao, Wenqing
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 &amp; Sons, Ltd.</jats:p> QoS‐aware packet forwarding in MIMO sensor networks: a cross‐layer approach Wireless Communications and Mobile Computing
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series Wireless Communications and Mobile Computing
source_id 49
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 &amp; 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
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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 &amp; Sons, Ltd.</jats:p>
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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 &amp; 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