More Web Proxy on the site http://driver.im/

research-article

Power consumption in wireless sensor networks

Authors:

Shahzad SarwarAuthors Info & Claims

FIT '09: Proceedings of the 7th International Conference on Frontiers of Information Technology

Article No.: 14, Pages 1 - 9

https://doi.org/10.1145/1838002.1838017

Published: 16 December 2009 Publication History

Abstract

In wireless sensor networks (WSNs), long lifetime requirement of different applications and limited energy storage capability of sensor nodes has led us to find out new horizons for reducing power consumption upon nodes. To increase sensor node's lifetime, circuit and protocols have to be energy efficient so that they can make a priori reactions by estimating and predicting energy consumption. The goal of this study is to present and discuss several strategies such as power-aware protocols, cross-layer optimization, and harvesting technologies used to alleviate power consumption constraint in WSNs.

References

[1]

C. Schurghers, V. Raghunathan, S. Park, and M. Srivastava. Energy-Aware Wireless Microsensor Networks. IEEE Signal Proc Mag. 40--50, 2002

[2]

W. J. Kaiser and G. J. Pottie. Wireless Integrated Network Sensors. CACM. 43(5): 51--58, 2000

Digital Library

[3]

P. Spanos, V. Raghunathan, and M. Srivastava. Adaptive Power fidelity in Energy Aware Wireless Embedded Systems. IEEE REAL. 2001

[4]

A. Demers, F. Yao, and S. Shenker. A Scheduling Model for Reduced CPU Energy. FOCS. 374--382, 1995

Digital Library

[5]

I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci. A Survey on Sensor Networks. IEEE Commun. Mag. 2002

[6]

A. Ephremides. Energy concerns in Wireless Sensor Networks. IEEE Wireless Communications. 2002

[7]

J. Glaser, D. Weber, S. Madani, and S. Mahlknecht. Power Aware Simulation Framework for Wireless Sensor Network and Nodes. Eurasip journal on Embedded systems. 2008

Digital Library

[8]

A. Savvides, S. Park, and M. Srivastava. Battery Capacity Measurement and Analysis using Lithium Coin Cell Battery. ACM ISLPED. 382--387, 2001

Digital Library

[9]

E. Shih, S. Cho, N. Ickes, R. Min, A. Sinha, A. Wang, and A. Chandrakasan. Physical Layer Driven Protocol and Algorithm Design for Energy-Efficient Wireless Sensor Networks. ACM SIGMobile. 2001

Digital Library

[10]

A. E. Gamal, C. N. B. Prabhakar, E. U. Biyikoglu, and S. Zahedi. Energy-Efficient Scheduling of Packet Transmissions over Wireless Networks. IEEE INFOCOM. 2002

[11]

S. H. Cho, A. Wang, C. G. Sodini, and A. P. Chandrakasan. Energy-Efficient Modulation and MAC for Asymmetric RF Microsensor Systems. ACM ISLPED. 106--111, 2001

Digital Library

[12]

C. F. Chiasserini and R. R. Rao. Pulsed Battery Discharge in Communication Devices. ACM MobiCom. 88--95, 1999

Digital Library

[13]

L. Benini, G. Castelli, A. Macii, and E. Macii. A Discrete-Time Battery Model for High Level Power Estimation. DATE. 35--39, 2000

Digital Library

[14]

S. Malik, V. Tiwari, A. Wolfe, and M. T. C. Lee. Instruction Level Power Analysis and Optimization of Software. VLSISP. 13(2): 1--18, 1996

Digital Library

[15]

A. P. Chandrakasan and A. Sinha. Jouletrack: A Web Based Tool for Software Energy Profiling. DAC. 2001

Digital Library

[16]

M. Srivastava, V. Tsiatsis, and S. Zimbeck. Architectural Strategies for Energy-Efficient Packet Forwarding in Wireless Sensor Networks. ISLPED. 92--95, 2001

Digital Library

[17]

A. Chandrakasan and A. Sinha. Dynamic Power Management in Wireless Sensor Networks. IEEE DT-M. 2001

Digital Library

[18]

J. D. Estrin and H., Y. Xu. Geography-Informed Energy Conservation for Ad-hoc Routing. ACM MobiCom. 70--84, 2001

Digital Library

[19]

S. Lee, J. Choi, J. Na, and C. Kim. Analysis of Dynamic Low Power Listening Schemes in Wireless Sensor Networks. IEEE Commun. Lett. 13(1), 2009

Digital Library

[20]

S. Lindsey and C. Raghavendra. Pegasis: Power-Efficient Gathering in Sensor Information Systems. Int Conf Comm. 2001

[21]

J. Jeong, D. Culler, and J. Oh. Empirical Analysis of Transmission Power Control Algorithms for Wireless Sensor Networks. IEEE INSS. 2007

[22]

P. Lettieri, C. Fragouli, and M. Srivastava. Low Power Error Control for Wireless Links. ACM MobiCom. 139--150

Digital Library

[23]

S. Chouhan, M. Balakrishnan, and R. Bose. A Framework for Energy Consumption Based Design Space Exploration for Wireless Sensor Nodes. ACM ISLPED. 2008

Digital Library

[24]

A. Sinha and A. P. Chandrakasan. Operating System and Algorithmic Techniques for Energy Scalable Wireless Sensor Networks. Springer. 2001

[25]

K. A. Arisha, M. A. Youssef, and M. F. Younis. Energy-Aware TDMA Based MAC for Sensor Networks. IEEE IMPACCT. 2002

[26]

K. Jamieson, H. Balakrishnan, and Y. C. Tay. Sift: A MAC Protocol for Event-Driven Wireless Sensor Networks. 2003

[27]

B. Chen, K. Jamieson, and H. Balakrishnan, R. Morris. Span: An Energy-Efficient Coordination Algorithm for Topology Maintenance in Ad-hoc Wireless Networks. Wireless Networks. 8(5): 481--494, 2002

Digital Library

[28]

G. Lu, B. Krishnamachari, and C. S. Raghavendra. An Adaptive Energy-Efficient and Low-Latency MAC for Data Gathering in Sensor Networks. IEEE SPDP. 2004

[29]

P. C. Nar and E. Cayirci. PCSMAC: A Power Controlled Sensor-MAC Protocol for Wireless Sensor Networks. EWSN. 2005

[30]

A. Udenz and K. M. D. Maier. Renewal Theory Sleep Time Optimisation for Scheduling Events in Wireless Sensor Networks. NASA/ESA AHS. 2007

Digital Library

[31]

Y. C. Chang and J. P. Sheu. An Energy Conservation MAC Protocol in Wireless Sensor Networks. Wireless Pers Commun. 261--276, 2009

Digital Library

[32]

I. Rhee, A. Warrier, M. Aia, and J. Min. Z-MAC: A Hybrid MAC for Wireless Sensor Networks. IEEE Trans. Netw. Serv. Manage. 2008

Digital Library

[33]

F. Pianegiani, M. Hu, A. Boni, and D. Petri. Energy-Efficient Signal Classification in Ad-hoc Wireless Sensor Networks. IEEE Trans. Instrum. Meas. 57(1), 2008

[34]

B. Hohlt, L. Doherty, and E. Brewer. Flexible Power Scheduling for Sensor Networks. IPSN. 205--214, 2004

Digital Library

[35]

K. B. Chang, Y. B. Kong, and G. T. Park. Clustering Algorithm in Wireless Sensor Networks Using Transmit Power Control and Soft Computing. IEEE ICIC. 171--175, 2006

[36]

A. B. Cunha and D. C. Silva. An Approach for the Reduction of Power Consumption in Sensor Nodes of Wireless Sensor Networks: Case Analysis of Mica2. SAMOS. 132--141, 2006

Digital Library

[37]

K. Akkaya and M. Younis. A Survey on Routing Protocols for Wireless Sensor Network. Elsevier Ad-hoc Networks. 3(3): 325--349, 2003

[38]

C. Perkins and E. Royer. Ad-hoc on Demand Distance Vector Routing. IEEE WMCSA. 1999

Digital Library

[39]

D. B. Johnson and D. A. Maltz. Dynamic Source Routing in Ad-hoc Wireless Networks. IEEE Trans. Mob. Comput. Kluwer. 1996

[40]

R. C. Shah and J. M. Rabaey. Energy Aware Routing for Low Energy Ad-Hoc Sensor Networks. IEEE WCNC. 2002

[41]

C. E. Perkins and P. Bhagwat. Highly Dynamic Destination Sequenced Distance Vector Routing (DSDV) for Mobile Computers. ACM SIGCOMM. 1994

Digital Library

[42]

A. Wang, S. H. Cho, C. G. Sodini, and A. P. Chandrakasan. Energy Efficient Modulation and MAC for Asymmetric Microsensor Systems. ISLPED. 106--111, 2001

Digital Library

[43]

I. Joe. Optimal Packet Length with Energy Efficiency for Wireless Sensor Networks. IEEE ISCAS. 2005

[44]

B. Krishnamachari, D. Estrin, and S. Wicker. Impact of Data Aggregation in Wireless Sensor Networks. IEEE ICDCS. 2002

Digital Library

[45]

Y. Yu, B. Krishnamachari, and V. K. Prasanna. Energy-Latency Tradeoffs for Data Gathering in Wireless Sensor Networks. IEEE. 2004

[46]

A. Salhieh, J. Weinmann, M. Kochhal, and L. Schwiebert. Power Efficient Topologies for Wireless Sensor Networks. IEEE ICPP. 156--163, 2001

Digital Library

[47]

B. Gholamzadeh and H. Nabovati. Concepts for Designing Low Power Wireless Sensor Network. WASET. 35, 2008

[48]

H. Balakrishnan, W. R. Heinzelman, and J. Kulik. Adaptive Protocols for Information Dissemination in Wireless Sensor Networks. ACM MobiCom. 1999

Digital Library

[49]

Y. P. Chen, A. L. Liestman, and J. Liu. A Hierarchical Energy-Efficient Framework for Data Aggregation in Wireless Sensor Networks. IEEE Trans. Veh. Technol. 55(3), 2006

[50]

L. A. Varghese, G. Santhosh, J. Mathew, and K. P. Jacob Evaluation of the Power Consumption of Routing Protocols for Wireless Sensor Networks. IEEE. 2006

[51]

S. D. Muruganathan, D. C. F. Ma, R. I. Bhasin, and A. O. Fapojuwo. A Centralized Energy Efficient Routing Protocol for Wireless Sensor Network. IEEE Radio Communications. 2005

[52]

S. Mahlknecht, S. Madani, and M. Rötzer. Energy Aware Distance Vector Routing Scheme for Data Centric Low Power Wireless Sensor Networks. IEEE INDIN. 2006

[53]

H. Abusaimeh and S. Yang. Dynamic Cluster Head for Lifetime Efficiency in WSN. Int. J. Autom. Comput. 2009

[54]

S. Madani, D. Weber, and S. Mahlknecht. A Hierarchical Position Based Routing Protocol for Data Centric Wireless Sensor Networks. IEEE INDIN. 2008

[55]

H. Balakrishnan, W. Heinzelman, and A. Chandrakasan. Energy-Efficient Communication Protocol for Wireless Micro-sensor Networks. HICSS. 2000

Digital Library

[56]

I. Raicu. Efficient Even Distribution of Power Consumption in Wireless Senor Networks. ISCA. 2003

[57]

I. Raicu, L. Schwiebert, S. Fowler, and S. K. S. Gupta. e3D: An Energy-Efficient Routing Algorithm for Wireless Sensor Networks. IEEE ISSNIP. 2004

[58]

S. Madani, D. Weber, and S. Mahlknecht. TPR: Dead End Aware Table Less Position Based Routing Protocol for Low Power Wireless Sensor Networks. IEEE SIES. 2008

[59]

C. Schurgers, V. Tsiatsis, and M. B. Srivastava. STEM: Topology Management for Energy Efficient Sensor Networks. IEEE. 2001

[60]

A. Cerpa and D. Estrin. ASCENT: Adaptive Self-configuring Sensor Networks Topologies. IEEE Trans. Mob. Comput. 2004

Digital Library

[61]

S. Slijepcevic and M. Potkonjak. Power Efficient Organization of Wireless Sensor Networks. IEEE. 2001

[62]

D. Li, H. Du, and W. Chen. Power Conservation for Strongly Connected Topology Control in Wireless Sensor Network. ACM FOWANC. 2008

Digital Library

[63]

V. Srivastava and M. Motani. Cross-Layer Design: A Survey and the Road Ahead. IEEE Commun. Mag. 2005

Digital Library

[64]

S. Madani, S. Mahlknecht, and J. Glaser. A Step towards Standardization of Wireless Sensor Networks: A Layered Protocol Architecture Perspective. IARIA SENSORMM. 2007

Digital Library

[65]

Z. Zhou, S. Zhou, J. Cui, and S. Cui. Energy-Efficient Cooperative Communication Based on Power Control and Selective Single-Relay in Wireless Sensor Networks. IEEE Trans. Wireless Commun. 7(8), 2008

Digital Library

[66]

G. Xing, C. Lu, Y. Zhang, and Q. Huang. Minimum Power Configuration in Wireless Sensor Networks. ACM MOBIHOC. 2005

Digital Library

[67]

S. Madani, S. Mahlknecht, and J. Glaser. Clamp: Cross layer Management Plane for Low Power Wireless Sensor Networks. FIT. 100--112, 2007

[68]

R. Jurdak, P. Baldi, and C. V. Lopes. Adaptive Low Power Listening for Wireless Sensor Networks. IEEE Trans. Mob. Comput. 6(8), 2007

Digital Library

[69]

M. L. Sichitiu. Cross-Layer Scheduling for Power Efficiency in Wireless Sensor Networks. IEEE INFOCOM SER. 2004

[70]

N. Burri, P. V. Rickenbach, and R. Wattenhofer. Dozer: Ultra Low Power Data Gathering in Sensor Networks. ACM IPSN. 2007

Digital Library

[71]

S. A. Madani. Cross Layer Design for Low Power Wireless Sensor Networks. PHD Dissertation. 2008

[72]

Y. H. Chee, M. Koplow, M. Mark, N. Pletcher, M. Seeman, F. Burghardt, D. Steingart, J. Rabaey, P. Wright, and S. Sanders. PicoCube: A 1cm³ Sensor Node Powered by Harvested Energy. ACM. 2008

[73]

K. Bhargava, D. Niyato, E. Hossain, and M. Rashid. Wireless Sensor Networks with Energy Harvesting Technologies: A Game-Theoretic Approach to Optimal Energy Management. IEEE Wirel. Commun. 2007

Digital Library

Cited By

Abu Taleb AAbu Al-Haija QOdeh A(2023)Efficient Mobile Sink Routing in Wireless Sensor Networks Using Bipartite GraphsFuture Internet10.3390/fi1505018215:5(182)Online publication date: 14-May-2023
https://doi.org/10.3390/fi15050182
Brown-Gaines T(2022)Visual sensor networksJournal of Computing Sciences in Colleges10.5555/3512469.351247737:1(71-77)Online publication date: 19-Jan-2022
https://dl.acm.org/doi/10.5555/3512469.3512477
Al-Samahi SAnsaf HAnsaf B(2021)An Efficient Distributed Elliptic Positioning for Underground Remote SensingElectronics10.3390/electronics1016202510:16(2025)Online publication date: 21-Aug-2021
https://doi.org/10.3390/electronics10162025
Show More Cited By

Index Terms

Power consumption in wireless sensor networks
1. General and reference
  1. Document types
    1. Surveys and overviews

Recommendations

Energy-Harvesting Wireless Sensor Networks (EH-WSNs): A Review

Wireless Sensor Networks (WSNs) are crucial in supporting continuous environmental monitoring, where sensor nodes are deployed and must remain operational to collect and transfer data from the environment to a base-station. However, sensor nodes have ...
A practical approach to energy consumption in wireless sensor networks

A wireless sensor network (WSN) is formed by large number of spatially distributed, wirelessly communicating sensor nodes deployed to perform various sensing operations in an environment where human intervention is not possible. Such WSNs consume energy ...
Operation strategy for energy harvesting wireless sensor networks
IMCOM '15: Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication

Over the past few years wireless sensor networks applications have evolved from a stage where these networks were designed in a technology-dependent manner to a stage where some conceptual understanding issues now exist. As wireless sensor networks are ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

FIT '09: Proceedings of the 7th International Conference on Frontiers of Information Technology

December 2009

446 pages

ISBN:9781605586427

DOI:10.1145/1838002

Conference Chair:
Sajjad Ahmad Madani
COMSATS Institute of Information Technology, Pakistan

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

COMSATS Institute of Information Technology

In-Cooperation

SIGAI: ACM Special Interest Group on Artificial Intelligence

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 December 2009

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

FIT '09

Sponsor:

FIT '09: 7th International Conference on Frontiers of Information Technology

December 16 - 18, 2009

Abbottabad, Pakistan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

12
Total Citations
View Citations
1,403
Total Downloads

Downloads (Last 12 months)7
Downloads (Last 6 weeks)0

Reflects downloads up to 12 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Abu Taleb AAbu Al-Haija QOdeh A(2023)Efficient Mobile Sink Routing in Wireless Sensor Networks Using Bipartite GraphsFuture Internet10.3390/fi1505018215:5(182)Online publication date: 14-May-2023
https://doi.org/10.3390/fi15050182
Brown-Gaines T(2022)Visual sensor networksJournal of Computing Sciences in Colleges10.5555/3512469.351247737:1(71-77)Online publication date: 19-Jan-2022
https://dl.acm.org/doi/10.5555/3512469.3512477
Al-Samahi SAnsaf HAnsaf B(2021)An Efficient Distributed Elliptic Positioning for Underground Remote SensingElectronics10.3390/electronics1016202510:16(2025)Online publication date: 21-Aug-2021
https://doi.org/10.3390/electronics10162025
Ogungbemi EIjaodola OKhatib FWilberforce TEl Hassan ZThompson JRamadan MOlabi A(2019)Fuel cell membranes – Pros and consEnergy10.1016/j.energy.2019.01.034172(155-172)Online publication date: Apr-2019
https://doi.org/10.1016/j.energy.2019.01.034
Aqeel-ur-Rehman Khan IAlam SMurtaza AHamdan HToral-Cruz HAkleylek SMcheick HBoubiche D(2017)Bio-inspired energy harvesting in WSNProceedings of the Second International Conference on Internet of things, Data and Cloud Computing10.1145/3018896.3036388(1-9)Online publication date: 22-Mar-2017
https://dl.acm.org/doi/10.1145/3018896.3036388
Omairi AIsmail ZDanapalasingam KIbrahim M(2017)Power Harvesting in Wireless Sensor Networks and Its Adaptation With Maximum Power Point Tracking: Current Technology and Future DirectionsIEEE Internet of Things Journal10.1109/JIOT.2017.27684104:6(2104-2115)Online publication date: Dec-2017
https://doi.org/10.1109/JIOT.2017.2768410
Rimpi Goyal Sran S(2016)Fault Detection for the Cluster-Based System in Wireless Sensor NetworksProceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing10.1007/978-81-322-2638-3_80(719-727)Online publication date: 29-Apr-2016
https://doi.org/10.1007/978-81-322-2638-3_80
Mangali NKota V(2015)Health monitoring systems: An energy efficient data collection technique in wireless sensor networks2015 International Conference on Microwave, Optical and Communication Engineering (ICMOCE)10.1109/ICMOCE.2015.7489707(130-133)Online publication date: Dec-2015
https://doi.org/10.1109/ICMOCE.2015.7489707
Jesus PBaquero CAlmeida P(2015)Flow updatingJournal of Parallel and Distributed Computing10.1016/j.jpdc.2015.02.00378:C(53-64)Online publication date: 1-Apr-2015
https://dl.acm.org/doi/10.1016/j.jpdc.2015.02.003
Swain AHansdah R(2015)A model for the classification and survey of clock synchronization protocols in WSNsAd Hoc Networks10.1016/j.adhoc.2014.11.02127:C(219-241)Online publication date: 1-Apr-2015
https://dl.acm.org/doi/10.1016/j.adhoc.2014.11.021
Show More Cited By

View Options

Login options

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

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents