Cross-layer multirate interaction with distributed source coding in wireless sensor networks

Wei Wang; Dongming Peng; Honggang Wang; Hamid Sharif; Hsiao Hwa Chen

doi:10.1109/TWC.2009.071009

Cross-layer multirate interaction with distributed source coding in wireless sensor networks

Wei Wang, Dongming Peng, Honggang Wang, Hamid Sharif, Hsiao Hwa Chen

Research output: Contribution to journal › Article › peer-review

38 Scopus citations

Abstract

Distributed Source Coding (DSC) is an effective means in reducing data redundancy in Wireless Sensor Networks (WSNs). However, the issues on designing multirate DSC with multirate transmission in WSNs have not been well addressed in the literature. In this paper, we propose a cross-layer approach to achieve optimal DSC data quality while assuring energy efficiency and latency requirement through adjusting multirate DSC data dependencies and network multirate transmission parameters jointly. Specifically, the DSC coding dependency among multirate source coding sensors are fine-tuned to balance compression efficiency and transmission robustness. Transmission rate and retransmission limit on each wireless link are optimized accordingly to achieve Unequal Error Protection (UEP) among inter-dependent DSC streams. Simulation studies demonstrate that the proposed scheme ensures satisfactory DSC data quality and energy efficiency.

Original language	English (US)
Article number	4786440
Pages (from-to)	787-795
Number of pages	9
Journal	IEEE Transactions on Wireless Communications
Volume	8
Issue number	2
DOIs	https://doi.org/10.1109/TWC.2009.071009
State	Published - Feb 2009

Keywords

Cross-layer optimization
DSC
Multi-rate energy efficiency
Wireless sensor network

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1109/TWC.2009.071009

Cite this

@article{521ea4a1a88b42048bcd7eb97f27feec,

title = "Cross-layer multirate interaction with distributed source coding in wireless sensor networks",

abstract = "Distributed Source Coding (DSC) is an effective means in reducing data redundancy in Wireless Sensor Networks (WSNs). However, the issues on designing multirate DSC with multirate transmission in WSNs have not been well addressed in the literature. In this paper, we propose a cross-layer approach to achieve optimal DSC data quality while assuring energy efficiency and latency requirement through adjusting multirate DSC data dependencies and network multirate transmission parameters jointly. Specifically, the DSC coding dependency among multirate source coding sensors are fine-tuned to balance compression efficiency and transmission robustness. Transmission rate and retransmission limit on each wireless link are optimized accordingly to achieve Unequal Error Protection (UEP) among inter-dependent DSC streams. Simulation studies demonstrate that the proposed scheme ensures satisfactory DSC data quality and energy efficiency.",

keywords = "Cross-layer optimization, DSC, Multi-rate energy efficiency, Wireless sensor network",

author = "Wei Wang and Dongming Peng and Honggang Wang and Hamid Sharif and Chen, {Hsiao Hwa}",

note = "Funding Information: Manuscript received September 12, 2007; revised March 30, 2008 and July 10, 2008; accepted July 16, 2008. The associate editor coordinating the review of this paper and approving it for publication was E Hossain. W. Wang, D. Peng, H. Wang, and H. Sharif are with the Department of Computer and Electronics Engineering, University of Nebraska-Lincoln, USA (e-mail: {wwang, dpeng, hwang, hsharif}@unlnotes.unl.edu). H.-H. Chen is with the Department of Engineering Science, National Cheng Kung University, Taiwan (e-mail: hshwchen@ieee.org). This work was supported in part by US National Science Foundation grant No. 0707944 for wireless sensor networks research and Taiwan National Science Council research grant NSC 97-2219-E-006-004. Digital Object Identifier 10.1109/TWC.2009.071009 Fig. 1. An example of distributed source coding scenario in a wireless sensor network. Source coding rate may vary according to the parent node selection and correlation.",

year = "2009",

month = feb,

doi = "10.1109/TWC.2009.071009",

language = "English (US)",

volume = "8",

pages = "787--795",

journal = "IEEE Transactions on Wireless Communications",

issn = "1536-1276",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "2",

}

TY - JOUR

T1 - Cross-layer multirate interaction with distributed source coding in wireless sensor networks

AU - Wang, Wei

AU - Peng, Dongming

AU - Wang, Honggang

AU - Sharif, Hamid

AU - Chen, Hsiao Hwa

N1 - Funding Information: Manuscript received September 12, 2007; revised March 30, 2008 and July 10, 2008; accepted July 16, 2008. The associate editor coordinating the review of this paper and approving it for publication was E Hossain. W. Wang, D. Peng, H. Wang, and H. Sharif are with the Department of Computer and Electronics Engineering, University of Nebraska-Lincoln, USA (e-mail: {wwang, dpeng, hwang, hsharif}@unlnotes.unl.edu). H.-H. Chen is with the Department of Engineering Science, National Cheng Kung University, Taiwan (e-mail: hshwchen@ieee.org). This work was supported in part by US National Science Foundation grant No. 0707944 for wireless sensor networks research and Taiwan National Science Council research grant NSC 97-2219-E-006-004. Digital Object Identifier 10.1109/TWC.2009.071009 Fig. 1. An example of distributed source coding scenario in a wireless sensor network. Source coding rate may vary according to the parent node selection and correlation.

PY - 2009/2

Y1 - 2009/2

N2 - Distributed Source Coding (DSC) is an effective means in reducing data redundancy in Wireless Sensor Networks (WSNs). However, the issues on designing multirate DSC with multirate transmission in WSNs have not been well addressed in the literature. In this paper, we propose a cross-layer approach to achieve optimal DSC data quality while assuring energy efficiency and latency requirement through adjusting multirate DSC data dependencies and network multirate transmission parameters jointly. Specifically, the DSC coding dependency among multirate source coding sensors are fine-tuned to balance compression efficiency and transmission robustness. Transmission rate and retransmission limit on each wireless link are optimized accordingly to achieve Unequal Error Protection (UEP) among inter-dependent DSC streams. Simulation studies demonstrate that the proposed scheme ensures satisfactory DSC data quality and energy efficiency.

AB - Distributed Source Coding (DSC) is an effective means in reducing data redundancy in Wireless Sensor Networks (WSNs). However, the issues on designing multirate DSC with multirate transmission in WSNs have not been well addressed in the literature. In this paper, we propose a cross-layer approach to achieve optimal DSC data quality while assuring energy efficiency and latency requirement through adjusting multirate DSC data dependencies and network multirate transmission parameters jointly. Specifically, the DSC coding dependency among multirate source coding sensors are fine-tuned to balance compression efficiency and transmission robustness. Transmission rate and retransmission limit on each wireless link are optimized accordingly to achieve Unequal Error Protection (UEP) among inter-dependent DSC streams. Simulation studies demonstrate that the proposed scheme ensures satisfactory DSC data quality and energy efficiency.

KW - Cross-layer optimization

KW - DSC

KW - Multi-rate energy efficiency

KW - Wireless sensor network

UR - http://www.scopus.com/inward/record.url?scp=61349170742&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=61349170742&partnerID=8YFLogxK

U2 - 10.1109/TWC.2009.071009

DO - 10.1109/TWC.2009.071009

M3 - Article

AN - SCOPUS:61349170742

VL - 8

SP - 787

EP - 795

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

SN - 1536-1276

IS - 2

M1 - 4786440

ER -

Cross-layer multirate interaction with distributed source coding in wireless sensor networks

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this