research-article

DynAHeal: dynamic energy efficient task assignment for wireless healthcare systems

Authors:

Tajana RosingAuthors Info & Claims

DATE '10: Proceedings of the Conference on Design, Automation and Test in Europe

Pages 1661 - 1664

Published: 08 March 2010 Publication History

Get Access

Abstract

Energy consumption is a critical parameter in wireless healthcare systems which consist of battery operated devices such as sensors and local aggregators. The system battery lifetime depends on the allocation of processing, sensing, and communication tasks to devices of the system. In this paper, we optimize the battery life of a wireless healthcare system by efficiently assigning tasks to the available resources. There are several dynamically changing characteristics in the system, such as task parameters (processing complexity, arrival rate, and output data), each device's available battery capacity, varying wireless channel conditions, and network load. Our dynamic task assignment algorithm, "DynAHeal" adapts to such changing conditions, and improves the battery life. Our experiments show that the task assignment given by DynAHeal improves the overall system lifetime under varying dynamic conditions on an average 60% relative to sending all the data for processing to the base station, and 35% with respect to an optimal static design time assignment.

References

[1]

Kamugisha Kazaura, Liu Jun, and Mitsuji Matsumoto, "A Simulation Based Evaluation on the Performance Integrated 3G - Wireless LAN Network", TENCON 2004, IEEE Region 10

Google Scholar

[2]

CardioNet, http://www.cardionet.com/

Google Scholar

[3]

A. Wood, G. Virone, T. Doan, Q. Cao, L. Selavo, Y. Wu, L., et al., "ALARM-NET: Wireless Sensor Networks for Assisted-Living and Residential Monitoring", University of Virginia

Google Scholar

[4]

Qixin Wang, Wook Shin, Xue Liu, Zheng Zeng, Cham Oh, Bedoor K. et al. "I-Living: An Open System Architecture for Assisted Living".

Google Scholar

[5]

Hamid Aghajan, Juan Carlos Augusto, Chen Wu, Paul McCullagh, and Julie-Ann Walkden, "Distributed Vision-Based Accident Management for Assisted Living"

Google Scholar

[6]

A. V. Halteren, R. Bults, K. Wac, D. Konstantas, and I. Windya, "Mobile Patient Monitoring: The MobiHealth System" The Journal of Information Technology in Healthcare, vol. 2, 2004.

Google Scholar

[7]

Giovanni De Micheli, "Synthesis And Optimization Of Digital Circuits" McGraw-Hill, Inc.

Digital Library

Google Scholar

[8]

E. Jeannot, B. Knutsson, and M. Björkman, "Adaptive Online Data Compression," Proc. IEEE Int'l Symp. High Performance Distributed Computing '02, July 2002.

Digital Library

Google Scholar

[9]

Rong Xu, Zhiyuan Li, Cheng Wang, Peifeng Ni, "Impact of Data Compression on Energy Consumption of Wireless-Networked Handheld Devices", ICDCS'03

Digital Library

Google Scholar

[10]

Yuan Tian Ekici, E. Ozguner, F, "Energy-constrained task mapping and scheduling in wireless sensor networks" in Mobile Adhoc and Sensor Systems Conference, 2005

Google Scholar

[11]

Y. Yu and V. K. Prasanna, "Energy-balanced task allocation for collaborative processing in wireless sensor networks," in Mobile Networks and Applications, Feb. 2005.

Digital Library

Google Scholar

[12]

Lp_solve - http://lpsolve.sourceforge.net/5.5/

Google Scholar

[13]

I. Scalable Network Technologies, "QualNet Simulator," Scalable Network Technologies, Inc.,- http://www.qualnet.com

Google Scholar

[14]

Alive Heart Sensor - http://www.alivetec.com

Google Scholar

Cited By

View all

Bouhenguel RMahgoub Illyas MBalasingham I(2012)An energy efficient model for monitoring and detecting atrial fibrillation in wearable computingProceedings of the 7th International Conference on Body Area Networks10.5555/2442691.2442707(59-65)Online publication date: 24-Feb-2012
https://dl.acm.org/doi/10.5555/2442691.2442707

Recommendations

An efficient cluster-based communication protocol for wireless sensor networks

A wireless sensor network is a network of large numbers of sensor nodes, where each sensor node is a tiny device that is equipped with a processing, sensing subsystem and a communication subsystem. The critical issue in wireless sensor networks is how ...
Movement-assisted sensor redeployment scheme for network lifetime increase
MSWiM '07: Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems

Sensor deployment in mobile sensor networks has received significant attention in recent years. Goals during sensor deployment include improving coverage, achieving load balance, and prolonging the network lifetime. To improve the initial deployment, ...
Algorithms for balancing energy consumption in wireless sensor networks
FOWANC '08: Proceedings of the 1st ACM international workshop on Foundations of wireless ad hoc and sensor networking and computing

Prolonging the lifetime of network is one of the most important designing objectives in wireless sensor networks (WSNs). Keeping up the uniform energy consumption of various sensor nodes is an efficient approach to prolong the lifetime of WSNs. This ...

Comments

Information & Contributors

Information

Published In

DATE '10: Proceedings of the Conference on Design, Automation and Test in Europe

March 2010

1868 pages

ISBN:9783981080162

General Chairs:
Giovanni De Micheli
EPF Lausanne, CH
,
Bashir Al-Hashimi
University of Southampton, UK
,
Program Chairs:
Wolfgang Mueller
University of Paderborn, SE
,
Enrico Macii
Politecnico di Torino, IT

Publisher

European Design and Automation Association

Leuven, Belgium

Publication History

Published: 08 March 2010

Check for updates

Qualifiers

Research-article

Conference

DATE '10

Sponsor:

EDAA
EDAC
SIGDA
The Russian Academy of Sciences

DATE '10: Design, Automation and Test in Europe

March 8 - 12, 2010

Germany, Dresden

Acceptance Rates

Overall Acceptance Rate 518 of 1,794 submissions, 29%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
64
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 15 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Bouhenguel RMahgoub Illyas MBalasingham I(2012)An energy efficient model for monitoring and detecting atrial fibrillation in wearable computingProceedings of the 7th International Conference on Body Area Networks10.5555/2442691.2442707(59-65)Online publication date: 24-Feb-2012
https://dl.acm.org/doi/10.5555/2442691.2442707

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Recommendations

An efficient cluster-based communication protocol for wireless sensor networks

Movement-assisted sensor redeployment scheme for network lifetime increase

Algorithms for balancing energy consumption in wireless sensor networks

Comments

Published In

Sponsors

Publisher

Publication History

Check for updates

Qualifiers

Conference

Acceptance Rates

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Recommendations

An efficient cluster-based communication protocol for wireless sensor networks

Movement-assisted sensor redeployment scheme for network lifetime increase

Algorithms for balancing energy consumption in wireless sensor networks

Comments

Information

Published In

Sponsors

Publisher

Publication History

Check for updates

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations