Adaptive remote signal coding and recovery in wireless sensor networks

Z. Tang; I.A. Glover; D. Monro; J. He

doi:10.1109/ICON.2004.1409255

Adaptive remote signal coding and recovery in wireless sensor networks

Z. Tang, I.A. Glover, D. Monro, J. He

Research output: Contribution to conference › Paper

2 Citations (Scopus)

Abstract

Distributed source coding has been viewed as an important and challenging technique for the problem of signal recovery in wireless sensor networks, due to limited network bandwidth, processing capability and power. In this paper, the problem of signal recovery in wireless sensor networks is studied by leverage of side information and distributed source coding. The available bandwidth and packet loss rate are assumed to be changing in the delivery path from remote sensors to sink. We first analyze the impact of quantization, random binning and transmission on the quality of estimated signal. Then we propose an adaptive control scheme to trade off bandwidth on quantization, random binning and transmission under specific network scenarios. Numerical results validate the effectiveness of the proposed adaptive control scheme on minimizing system distortion.

Original language	English
Pages	655-659
Number of pages	5
DOIs	https://doi.org/10.1109/ICON.2004.1409255
Publication status	Published - Nov 2004
Event	12th IEEE International Conference on Networks (ICON 2004) - Singapore, Singapore Duration: 16 Nov 2004 → 19 Nov 2004

Conference

Conference	12th IEEE International Conference on Networks (ICON 2004)
Country/Territory	Singapore
City	Singapore
Period	16/11/04 → 19/11/04

Keywords

adaptive
remote signal coding
recovery
wireless sensor networks

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10.1109/ICON.2004.1409255

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title = "Adaptive remote signal coding and recovery in wireless sensor networks",

abstract = "Distributed source coding has been viewed as an important and challenging technique for the problem of signal recovery in wireless sensor networks, due to limited network bandwidth, processing capability and power. In this paper, the problem of signal recovery in wireless sensor networks is studied by leverage of side information and distributed source coding. The available bandwidth and packet loss rate are assumed to be changing in the delivery path from remote sensors to sink. We first analyze the impact of quantization, random binning and transmission on the quality of estimated signal. Then we propose an adaptive control scheme to trade off bandwidth on quantization, random binning and transmission under specific network scenarios. Numerical results validate the effectiveness of the proposed adaptive control scheme on minimizing system distortion. ",

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doi = "10.1109/ICON.2004.1409255",

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AU - Tang, Z.

AU - Glover, I.A.

AU - Monro, D.

AU - He, J.

PY - 2004/11

Y1 - 2004/11

N2 - Distributed source coding has been viewed as an important and challenging technique for the problem of signal recovery in wireless sensor networks, due to limited network bandwidth, processing capability and power. In this paper, the problem of signal recovery in wireless sensor networks is studied by leverage of side information and distributed source coding. The available bandwidth and packet loss rate are assumed to be changing in the delivery path from remote sensors to sink. We first analyze the impact of quantization, random binning and transmission on the quality of estimated signal. Then we propose an adaptive control scheme to trade off bandwidth on quantization, random binning and transmission under specific network scenarios. Numerical results validate the effectiveness of the proposed adaptive control scheme on minimizing system distortion.

AB - Distributed source coding has been viewed as an important and challenging technique for the problem of signal recovery in wireless sensor networks, due to limited network bandwidth, processing capability and power. In this paper, the problem of signal recovery in wireless sensor networks is studied by leverage of side information and distributed source coding. The available bandwidth and packet loss rate are assumed to be changing in the delivery path from remote sensors to sink. We first analyze the impact of quantization, random binning and transmission on the quality of estimated signal. Then we propose an adaptive control scheme to trade off bandwidth on quantization, random binning and transmission under specific network scenarios. Numerical results validate the effectiveness of the proposed adaptive control scheme on minimizing system distortion.

KW - adaptive

KW - remote signal coding

KW - recovery

KW - wireless sensor networks

U2 - 10.1109/ICON.2004.1409255

DO - 10.1109/ICON.2004.1409255

M3 - Paper

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EP - 659

T2 - 12th IEEE International Conference on Networks (ICON 2004)

Y2 - 16 November 2004 through 19 November 2004

ER -

Adaptive remote signal coding and recovery in wireless sensor networks

Abstract

Conference

Keywords

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