Algorithm/Architecture Co-exploration for Designing Energy Efficient Wireless Channel Estimator

Yan, Meng; Gong, Wenrui; Kastner, Ryan; Sherwood, Timothy

doi:10.1166/jolpe.2005.049

Cited by 18 publications

(4 citation statements)

References 25 publications

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“…Where, E ch is the channel estimation energy and is using 28mJ / bit / signals in our simulation experiment [16]. Data size L i is divided by the frame size F to find out the number of channel estimations required for the transmitted data size L i as channel estimation is performed once in frame duration.…”

Section: Energy Model Of Scheme Imentioning

confidence: 99%

Step-by-step approach for energy-efficient wireless sensor network

Islam¹,

Kim²

2012

IETE Tech Rev

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Energy minimization has become a key factor for efficient data transfer in wireless sensor network (WSN). IEEE 1451.5 standard explores the wireless communication schemes between multiple sensors and a data gathering node (DGN) emphasizing the multiple input single output (MISO) structure. In this paper, an energy-efficient cooperative technique which is done using distributed computing is proposed for a WSN. Selected numbers of sensors are used here to form a MISO structure wirelessly connected with a DGN. The selection of nodes is based on a step-by-step selection procedure where residual energy and channel gain parameter play the key role in selection. Data are sent by the sensors to a DGN using a multihop transmission. Energy models are evaluated for both correlated and uncorrelated scenarios while energy efficiencies are compared for different combination of cluster size and selected number of sensors. Delay difference is also derived. (IUT) as a faculty on 1999 and is currently serving as a full professor. His research interests include cooperative technique for wireless sensor networks, LDPC and QC-LDPC codes, secrecy capacity, and other wireless applications.

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Section: Energy Model Of Scheme Imentioning

confidence: 99%

Step-by-step approach for energy-efficient wireless sensor network

Islam¹,

Kim²

2012

IETE Tech Rev

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show abstract

“…where E ch is the channel estimation energy and is using 28 μJ/bit/signals in our simulation experiment [13]. Data size L i is divided by the frame size F to find out the number of channel estimations required for the transmitted data size L i as channel estimation is performed once in a frame duration.…”

Section: Energy Model Of Scheme Imentioning

confidence: 99%

On the cooperative MIMO communication for energy-efficient cluster-to-cluster transmission at wireless sensor network

Islam

Kim

2009

Ann. Telecommun.

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Energy-efficient data transmission is one of the key factors for energy-efficient wireless sensor networks (WSN). Cooperative multiple input multiple output (MIMO) explores the wireless communication schemes between multiple sensors emphasizing the MIMO structure. In this paper, an energy-efficient cooperative technique is proposed for a WSN where selected numbers of sensors at the transmitting end are used to form a MIMO structure wirelessly connected with a selected number of sensors at the receiving end. The selection of nodes in the transmitting end is based on a selection function, which is a combination of channel condition, residual energy, inter-sensor distance in a cluster, and geographical location, whereas the selection in the receiving side is performed on the basis of channel condition. Data are sent by the sensors in a cluster to a data-gathering node (DGN) using a multihop transmission. We are concentrating our design on the intermediate hop, where sensors in a cluster transmit their data to the sensors in another cluster with MIMO communication. Energy models are evaluated for both correlated and uncorrelated scenarios. The delay model of the proposed cooperative MIMO is also derived. Experimental results show that the selected MIMO structure outperforms the unselected MIMO in terms of total energy consumption. They also show energy-efficient performance by around 20% over unselected MIMO when they are compared with single-input-single-output structure. Also, the proposed approach takes around 50 more rounds than the geographically selected approach before dying at distance d > 20 m.

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“…where E ch is the channel estimation energy and is using 28 µJ/bit/signals in our simulation experiment [18]. Data size L i is divided by the frame size F to find out the number of channel estimations required for the transmitted data size L i as channel estimation is performed once in a frame duration.…”

Section: Mathematical Modelmentioning

confidence: 99%

Channel Estimated Cooperative MIMO in Wireless Sensor Network

Islam¹,

Kim²

2008

IETE Tech Rev

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Energy efficient data transfer is the key factor for the design of energy efficient wireless sensor network (WSN). In this paper, an energy efficient cooperative MIMO (C-MIMO) technique is proposed in the WSN where fixed constellation size is considered in transmitting both the local and long-haul communication. A selection criterion is used based on the channel conditions where a selected number of sensors in a cluster is used to form a multiple input multiple output (MIMO) structure wirelessly connected with multiple antennas of a data gathering node (DGN). The selected approach is tested on the correlated data scenario. Experimental results show that the selected C-MIMO structure outperforms the unselected C-MIMO in terms of total energy consumption and they show energy efficient performance over existing one when they are compared with SISO structure. Energy models are evaluated for this scenario while energy consumption and efficiency are compared for different combination of cluster sizes and selected number of sensors. Comparisons are shown for different fixed number of constellation sizes. The effect of correlation coefficient and intersensor distance are analyzed. Later, a delay analysis is shown considering optimal constellation size.

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Algorithm/Architecture Co-exploration for Designing Energy Efficient Wireless Channel Estimator

Cited by 18 publications

References 25 publications

Step-by-step approach for energy-efficient wireless sensor network

Step-by-step approach for energy-efficient wireless sensor network

On the cooperative MIMO communication for energy-efficient cluster-to-cluster transmission at wireless sensor network

Channel Estimated Cooperative MIMO in Wireless Sensor Network

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