poster

Integrated distributed energy awareness for wireless sensor networks

Authors:

Geoffrey Werner Challen,

Jason Waterman,

Matt WelshAuthors Info & Claims

SenSys '09: Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems

Pages 381 - 382

https://doi.org/10.1145/1644038.1644112

Published: 04 November 2009 Publication History

Get Access

Abstract

Energy in sensor networks is distributed and non-transferable. Over time, differences in energy availability across the network are likely to arise. Protocols such as routing engines can concentrate energy load at certain nodes. Variations in incident sunlight can produce different solar charging rates at different nodes. Because many sensor network applications require nodes collaborate --- to ensure complete sensor coverage or route data to the network's edge --- a small set of nodes threatened by low energy availability can have a disproportionate impact on the entire network. For example, the loss of a single sink node may render the application unable to communicate with all the other nodes.

However, network density provides redundancy that can be exploited to control the distribution of energy load. Multiple possible routing paths may link a node and the sink, or several sinks may exist. Adjusting MAC-level parameters may allow a node to conserve energy by forcing additional load on its neighbors. Inputs from multiple sensors may prove redundant to the application, allowing some sensors to be disabled or operated at reduced fidelity, saving power at those nodes. These choices imply that energy load can be tuned to match availability, and this tuning can extend the useful lifetime of the network.

Effective distributed energy management requires network-wide awareness of energy availability and load integrated with algorithms guiding protocols toward states producing longer lifetimes or higher node duty-cycles. Intelligent Distributed Energy Awareness (IDEA) is a sensor network service that can be used by both protocols and applications. Given the current energy availability and a set of protocol states, each with different implications for network-wide energy consumption, IDEA projects future energy availability in order to make the best choice. By simplifying decisions impacting distributed energy availability, it facilitates the implementation of energy-aware services.

References

[1]

R. Fonseca, P. Dutta, P. Levis, and I. Stoica. Quanto: Tracking energy in networked embedded systems. In OSDI, pages 323--338, 2008.

Digital Library

Google Scholar

[2]

R. Fonseca, O. Gnawali, K. Jamieson, S. Kim, P. Levis, and A. Woo. The collection tree protocol (ctp). TinyOS Extension Proposal TEP-123, http://www.tinyos.net/tinyos-2.x/doc/txt/tep123.txt, 2006.

Google Scholar

[3]

P. Levis, N. Patel, S. Shenker, and D. Culler. Trickle: A self-regulating algorithm for code propagation and maintenance in wireless sensor networks. In Proc. the First USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI), 2004.

Digital Library

Google Scholar

[4]

K. Lorincz, B. rong Chen, J. Waterman, G. Werner-Allen, and M. Welsh. Resource aware programming in the pixie os. In SenSys '08: Proceedings of the 6th ACM conference on Embedded network sensor systems, pages 211--224, New York, NY, USA, 2008. ACM.

Digital Library

Google Scholar

[5]

D. Moss, J. Hui, P. Levis, and J. I. Choi. Cc2420 radio stack. TinyOS Extension Proposal TEP-126, http://www.tinyos.net/tinyos-2.x/doc/txt/tep126.txt, 2007.

Google Scholar

[6]

J. Taneja, J. Jeong, and D. Culler. Design, modeling, and capacity planning for micro-solar power sensor networks. In IPSN '08: Proceedings of the 7th international conference on Information processing in sensor networks, pages 407--418, Washington, DC, USA, 2008. IEEE Computer Society.

Digital Library

Google Scholar

Cited By

View all

Zhang ZWu WYuan JDu D(2018)Breach-Free Sleep-Wakeup Scheduling for Barrier Coverage With Heterogeneous Wireless SensorsIEEE/ACM Transactions on Networking (TON)10.1109/TNET.2018.286715626:5(2404-2413)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1109/TNET.2018.2867156
Chen YPeng Y(2013)Thermal Energy Harvesting Aware Routing for Wireless Body Area Network in Medical Healthcare SystemApplied Mechanics and Materials10.4028/www.scientific.net/AMM.394.482394(482-486)Online publication date: Sep-2013
https://doi.org/10.4028/www.scientific.net/AMM.394.482
Liu ZYang XYang SMcCann J(2013)Efficiency-Aware: Maximizing Energy Utilization for Sensor Nodes Using Photovoltaic-Supercapacitor Energy SystemsInternational Journal of Distributed Sensor Networks10.1155/2013/6279639:4(627963)Online publication date: Jan-2013
https://doi.org/10.1155/2013/627963
Show More Cited By

Index Terms

Integrated distributed energy awareness for wireless sensor networks

Recommendations

An energy efficient clustering method for wireless sensor networks
EHAC'07: Proceedings of the 6th WSEAS International Conference on Electronics, Hardware, Wireless and Optical Communications

Wireless sensor networks have many sensor nodes with a limited energy in a limited area. One of key issues in wireless sensor networks is to prolong the network lifetime. In this paper, we propose a scheme to construct an energy-efficient cluster ...
IDEA: integrated distributed energy awareness for wireless sensor networks
MobiSys '10: Proceedings of the 8th international conference on Mobile systems, applications, and services

Energy in sensor networks is a distributed, non-transferable resource. Over time, differences in energy availability are likely to arise. Protocols like routing trees may concentrate energy usage at certain nodes. Differences in energy harvesting ...
Integrated Connectivity and Coverage Techniques for Wireless Sensor Networks
MobiWac '16: Proceedings of the 14th ACM International Symposium on Mobility Management and Wireless Access

A wireless sensor network (WSN) consists of a group of energy-constrained sensor nodes with the ability of both sensing and communication, which can be deployed in a field of interesting (FoI) for detecting or monitoring some special events and then ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

SenSys '09: Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems

November 2009

438 pages

ISBN:9781605585192

DOI:10.1145/1644038

General Chair:
David Culler
University of California, Berkeley
,
Program Chairs:
Jie Liu
Microsoft Research
,
Matt Welsh
Harvard University

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 November 2009

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Poster

Conference

SenSys09

Sponsor:

SenSys09: The 7th ACM Conference on Embedded Network Sensor Systems

November 4 - 6, 2009

California, Berkeley

Acceptance Rates

Overall Acceptance Rate 174 of 867 submissions, 20%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
361
Total Downloads

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

Reflects downloads up to 24 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Zhang ZWu WYuan JDu D(2018)Breach-Free Sleep-Wakeup Scheduling for Barrier Coverage With Heterogeneous Wireless SensorsIEEE/ACM Transactions on Networking (TON)10.1109/TNET.2018.286715626:5(2404-2413)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1109/TNET.2018.2867156
Chen YPeng Y(2013)Thermal Energy Harvesting Aware Routing for Wireless Body Area Network in Medical Healthcare SystemApplied Mechanics and Materials10.4028/www.scientific.net/AMM.394.482394(482-486)Online publication date: Sep-2013
https://doi.org/10.4028/www.scientific.net/AMM.394.482
Liu ZYang XYang SMcCann J(2013)Efficiency-Aware: Maximizing Energy Utilization for Sensor Nodes Using Photovoltaic-Supercapacitor Energy SystemsInternational Journal of Distributed Sensor Networks10.1155/2013/6279639:4(627963)Online publication date: Jan-2013
https://doi.org/10.1155/2013/627963
Zhang BSimon RAydin H(2013)Harvesting-Aware Energy Management for Time-Critical Wireless Sensor Networks With Joint Voltage and Modulation ScalingIEEE Transactions on Industrial Informatics10.1109/TII.2011.21742479:1(514-526)Online publication date: Feb-2013
https://doi.org/10.1109/TII.2011.2174247

View Options

Login options

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

Cited By

Index Terms

Recommendations

An energy efficient clustering method for wireless sensor networks

IDEA: integrated distributed energy awareness for wireless sensor networks

Integrated Connectivity and Coverage Techniques for Wireless Sensor Networks