Energy efficient transmission protocol for distributed source coding in sensor networks

Z. Tang; I.A. Glover; A. Evans; J. He

doi:10.1109/ICC.2007.638

Energy efficient transmission protocol for distributed source coding in sensor networks

Z. Tang, I.A. Glover, A. Evans, J. He

Research output: Contribution to conference › Paper

5 Citations (Scopus)

Abstract

Distributed source coding (DSC) has recently been considered as an efficient approach to data compression in wireless sensor networks (WSN). Using this coding method multiple sensor nodes compress their correlated observations without inter-node communications. Therefore energy and bandwidth can be efficiently saved. In this paper, we investigate a random-binning based DSC scheme for remote source estimation in WSN and its performance of estimated signal to distortion ratio (SDR). With the introduction of a detailed power consumption model for wireless sensor communications, we quantitatively analyze the overall network energy consumption of the DSC scheme. We further propose a novel energy-aware transmission protocol for the DSC scheme, which flexibly optimizes the DSC performance in terms of either SDR or energy consumption, by adapting the source coding and transmission parameters to the network conditions. Simulations validate the energy efficiency of the proposed adaptive transmission protocol.

Original language	English
Pages	3870-3875
Number of pages	6
DOIs	https://doi.org/10.1109/ICC.2007.638
Publication status	Published - 2007

Keywords

active noise reduction
wireless sensor networks
source coding
distortion
signal processing
noise generators

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10.1109/ICC.2007.638

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title = "Energy efficient transmission protocol for distributed source coding in sensor networks",

abstract = "Distributed source coding (DSC) has recently been considered as an efficient approach to data compression in wireless sensor networks (WSN). Using this coding method multiple sensor nodes compress their correlated observations without inter-node communications. Therefore energy and bandwidth can be efficiently saved. In this paper, we investigate a random-binning based DSC scheme for remote source estimation in WSN and its performance of estimated signal to distortion ratio (SDR). With the introduction of a detailed power consumption model for wireless sensor communications, we quantitatively analyze the overall network energy consumption of the DSC scheme. We further propose a novel energy-aware transmission protocol for the DSC scheme, which flexibly optimizes the DSC performance in terms of either SDR or energy consumption, by adapting the source coding and transmission parameters to the network conditions. Simulations validate the energy efficiency of the proposed adaptive transmission protocol.",

keywords = "active noise reduction, wireless sensor networks , source coding, distortion, signal processing, noise generators",

author = "Z. Tang and I.A. Glover and A. Evans and J. He",

year = "2007",

doi = "10.1109/ICC.2007.638",

language = "English",

pages = "3870--3875",

}

TY - CONF

T1 - Energy efficient transmission protocol for distributed source coding in sensor networks

AU - Tang, Z.

AU - Glover, I.A.

AU - Evans, A.

AU - He, J.

PY - 2007

Y1 - 2007

N2 - Distributed source coding (DSC) has recently been considered as an efficient approach to data compression in wireless sensor networks (WSN). Using this coding method multiple sensor nodes compress their correlated observations without inter-node communications. Therefore energy and bandwidth can be efficiently saved. In this paper, we investigate a random-binning based DSC scheme for remote source estimation in WSN and its performance of estimated signal to distortion ratio (SDR). With the introduction of a detailed power consumption model for wireless sensor communications, we quantitatively analyze the overall network energy consumption of the DSC scheme. We further propose a novel energy-aware transmission protocol for the DSC scheme, which flexibly optimizes the DSC performance in terms of either SDR or energy consumption, by adapting the source coding and transmission parameters to the network conditions. Simulations validate the energy efficiency of the proposed adaptive transmission protocol.

AB - Distributed source coding (DSC) has recently been considered as an efficient approach to data compression in wireless sensor networks (WSN). Using this coding method multiple sensor nodes compress their correlated observations without inter-node communications. Therefore energy and bandwidth can be efficiently saved. In this paper, we investigate a random-binning based DSC scheme for remote source estimation in WSN and its performance of estimated signal to distortion ratio (SDR). With the introduction of a detailed power consumption model for wireless sensor communications, we quantitatively analyze the overall network energy consumption of the DSC scheme. We further propose a novel energy-aware transmission protocol for the DSC scheme, which flexibly optimizes the DSC performance in terms of either SDR or energy consumption, by adapting the source coding and transmission parameters to the network conditions. Simulations validate the energy efficiency of the proposed adaptive transmission protocol.

KW - active noise reduction

KW - wireless sensor networks

KW - source coding

KW - distortion

KW - signal processing

KW - noise generators

U2 - 10.1109/ICC.2007.638

DO - 10.1109/ICC.2007.638

M3 - Paper

SP - 3870

EP - 3875

ER -

Energy efficient transmission protocol for distributed source coding in sensor networks

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Keywords

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