article

Free access

Power/energy estimator for designing WSN nodes with ambient energy harvesting feature

Authors:

Sylvain Ducloyer,

Nathalie Julien,

Dominique JutelAuthors Info & Claims

EURASIP Journal on Embedded Systems, Volume 2011

Article No.: 6, Pages 1 - 17

https://doi.org/10.1155/2011/242386

Published: 01 January 2011 Publication History

PDF eReader Publisher Site

Abstract

Wireless Sensor Networks (WSNs) consist of spatially distributed autonomous sensors to cooperatively monitor physical conditions. Thus, the node battery autonomy is critical. To outperform it, most WSNs rely on the harvesting capability. As nodes can recharge whenever energy is available, the problem is to determine at design time the node autonomy. For our project, we solve it by creating a power/energy estimator that simulates business scenarios to predict node autonomy; the estimation concerns both power and energy features. Based on node architecture configuration, its Dynamic Power Management (DPM) policy, and environmental conditions, we present a simulator that helps identify power consumption hot spots and make critical choices during the system design. It also helps to scale the energy storage system as well as the energy harvesters correctly. The hardware part is modelled using the FLPA methodology to develop different node component models with a variable accuracy. For the logical part, we developped a specific DPM by integrating meteorology and weather forecast behaviours. The novelty comes from the ability to simulate theWSN harvesting capability and to estimate at runtime the remaining duration of each service.

References

[1]

Wikipedia, "Wireless sensor network," 2010, http://en.wikipedia. org/wiki/Wireless_sensor_network.

[2]

P. H. Chou and C. Park, "Energy-efficient platform designs for real-world wireless sensing applications," in Proceedings of the IEEE/ACM International Conference on Computer-Aided Design (ICCAD '05), pp. 912-919, Irvine, Calif, USA, November 2005.

Digital Library

[3]

M. Y. I. Idris, E. M. Tamil, N. M. Noor, Z. Razak, and K. W. Fong, "Parking guidance system utilizing wireless sensor network and ultrasonic sensor," Information Technology Journal, vol. 8, no. 2, pp. 138-146, 2009.

[4]

F. J. Rincón, M. Paselli, J. Recas et al., "OS-based sensor node platformand energy estimationmodel for health-care wireless sensor networks," in Proceedings of Design, Automation and Test in Europe (DATE'), pp. 1027-1032, Munich, Germany, 2008.

Digital Library

[5]

Y.-H. Chee, M. Koplow, M. Mark et al., "PicoCube: a 1cm3 sensor node powered by harvested energy," in Proceedings of the 45th annual Design Automation Conference, pp. 114-119, Anaheim, Calif, USA, 2008.

Digital Library

[6]

M. A. Guerrero, E. Romero, F. Barrero, M. I. Milanés, and E. González, "Overview of medium scale energy storage systems," in Proceedings of the 6th International Conference on Compatability and Power Electronics (CPE '09), pp. 93-100, May 2009.

[7]

X. Jiang, J. Polastre, and D. Culler, "Perpetual environmentally powered sensor networks," in Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN '05), pp. 463-468, 2005.

Digital Library

[8]

V. Raghunathan, A. Kansal, J. Hsu, J. Friedman, and M. Srivastava, "Design considerations for solar energy harvesting wireless embedded systems," in Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN '05), pp. 457-462, 2005.

Digital Library

[9]

M. Chen and G. A. Rincón-Mora, "Single inductor, multiple input, multiple output (SIMIMO) power mixer-chargersupply system," in Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED '07), pp. 310- 315, August 2007.

Digital Library

[10]

C. Park and P. H. Chou, "AmbiMax: autonomous energy harvesting platform for multi-supply wireless sensor nodes," in Proceedings of the 3rd Annual IEEE Communications Society on Sensor and Adhoc Communications and Networks (Secon '06), vol. 1, pp. 168-177, 2006.

[11]

F. Simjee and P. H. Chou, "Everlast: long-life, supercapacitoroperated wireless sensor node," in Proceedings of the International Symposium on Low Power Electronics and Design, pp. 197-202, 2006.

Digital Library

[12]

M. A. Green, Third Generation Photovoltaic: Advanced Solar Energy Conversion, Springer, New York, NY, USA, 2005.

[13]

S. Roundy, P. K. Wright, and J. Rabaey, "A study of low level vibrations as a power source for wireless sensor nodes," Computer Communications, vol. 26, no. 11, pp. 1131-1144, 2003.

Digital Library

[14]

L. Benini, A. Bogliolo, and G. De Micheli, "A survey of design techniques for system-level dynamic power management," IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 8, no. 3, pp. 299-316, 2000.

Digital Library

[15]

R. J. M. Vullers, R. van Schaijk, I. Doms, C. Van Hoof, and R. Mertens, "Micropower energy harvesting," Solid-State Electronics, vol. 53, no. 7, pp. 684-693, 2009.

[16]

D. Brunelli, L. Benini, C. Moser, and L. Thiele, "An efficient solar energy harvester for wireless sensor nodes," in Proceedings of Design, Automation and Test in Europe (DATE '08), pp. 104-109, Munich, Germany, 2008.

Digital Library

[17]

V. Ekanayake, C. Kelly IV, and R. Manohar, "An ultra low-power processor for sensor networks," ACM SIGARCH Computer Architecture News, vol. 32, no. 5, pp. 27-36, 2004.

Digital Library

[18]

P. Guitton-Ouhamou, H. Ben Fradj, C. Belleudy, and M. Auguin, "Low power co-design tool and power optimization of schedules and memory system," in Proceedings of the 14th International Workshop on Integrated Circuit and System Design Power and Timing Modeling, Optimization and Simulation (PATMOS '04), vol. 3254 of Lecture Notes in Computer Science, pp. 603-612, Santorini, Greece, 2004.

[19]

J. Laurent, N. Julien, E. Senn, and E. Martin, "Functional level power analysis: an efficient approach for modeling the power consumption of complex processors," in Proceedings of Design, Automation and Test in Europe Conference and Exhibition (DATE '04), vol. 1, pp. 666-667, 2004.

[20]

M. Pedram and J. Rabaey, Power-Aware Design Methodologies, Kluwer Academic Publishers, Dordrecht, The Netherlands, 2002.

Digital Library

[21]

L. Benini and G. De Micheli, "System-level power optimization: techniques and tools," ACM Transactions on Design Automation of Electronic Systems, vol. 5, no. 2, pp. 115-192, 2000.

Digital Library

[22]

S. Irani, S. Shukla, and R. Gupta, "Algorithms for power savings," in Proceedings of the 14th Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 37-46, Baltimore, Md, USA, 2003.

Digital Library

[23]

R. Rao, S. Vrudhula, and D. N. Rakhmatov, "Battery modeling for energy-aware systemdesign," Computer, vol. 36, no. 12, pp. 77-87, 2003.

Digital Library

[24]

G. Kremer, J. Osmont, and B. Pottier, "A process oriented development flow for wireless sensor networks," in Proceedings of the International Workshop on Smalltalk Technologies, Brest, France, 2009.

[25]

I. F. Akyildiz, T. Melodia, and K. R. Chowdhury, "A survey on wireless multimedia sensor networks," Computer Networks, vol. 51, no. 4, pp. 921-960, 2007.

Digital Library

[26]

Wikipedia, "List of wireless sensor nodes," 2010, http://en .wikipedia.org/wiki/List_of_wireless_sensor_nodes.

[27]

S. Douhib, Operating systems power and energy consumption characterization for critical embedded systems described in AADL, Thesis financement, ITEA, projet SPICES, Université de Bretagne Sud, Lorient, 2009.

[28]

T. Quarles, "The SPICE3 implementation guide," Rapport techniqueUCB/ERL M89/44, EECS Department, University of California, Berkeley, Calif, USA, 1989.

[29]

K. Baynes, C. Collins, E. Fiterman et al., "The performance and energy consumption of embedded real-time operating systems," IEEE Transactions on Computers, vol. 52, no. 11, pp. 1454-1469, 2003.

Digital Library

[30]

S. Kang, H. Wang, Y. Chen, X. Wang, and Y. Dai, "Skyeye: an instruction simulator with energy awareness," in Proceedings of the 1st International Conference on Embedded Software and Systems (ICESS '05), vol. 3605 of Lecture Notes in Computer Science, pp. 456-461, Springer, 2005.

Digital Library

[31]

N. Fournel, A. Fraboulet, and P. Feautrier, "eSimu: a fast and accurate energy consumption simulator for real embedded system," in Proceedings of the IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WOWMOM '07), pp. 1-6, June 2007.

[32]

T. K. Tan, A. Raghunathan, and N. K. Jha, "EMSIM: an energy simulation framework for an embedded operating system," in Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS '02), vol. 2, pp. 464-467, Phoenix, Ariz, USA, 2002.

[33]

S. Gurumurthi, A. Sivasubramaniam, M. J. Irwin et al., "Using complete machine simulation for software power estimation: the SoftWatt approach," in Proceedings of the 8th International Symposium on High-Performance Computer Architecture (HPCA '02), pp. 141-150, IEEE Computer Society, Boston, Mass, USA, 2002.

Digital Library

[34]

V. Shnayder, M. Hempstead, B. Chen, and M. Welsh, "Power-TOSSIM: efficient power simulation for TinyOS applications," in Proceedings of the ACM Conference on Embedded Networked Sensor Systems (SenSys '04), 2004).

[35]

ChipVision Inc., "PowerOpt™," low-power synthesis tool, ANSIC/System C code into VerilogRTL, (2003-2009).

[36]

E. Senn, J. Laurent, N. Julien, and E. Martin, "SoftExplorer: estimation, characterization, and optimization of the power and energy consumption at the algorithmic level," in Proceedings of the International Workshop on Power and Timing Modeling Optimization and Simulation (PATMOS '04), vol. 3254 of Lecture Notes in Computer Science, pp. 342-351, 2004.

[37]

A. Courtay, O. Sentieys, J. Laurent, and N. Julien, "Highlevel interconnect delay and power estimation," Journal of Low Power Electronics, vol. 4, no. 1, pp. 21-33, 2008.

[38]

D. Saadia, S. Eric, D. Jean-Philippe, L. Johann, and B. Dominique, "Model driven high-level power estimation of embedded operating systems communication services," in Proceedings of International Conference on Embedded Software and Systems (ICESS '09), pp. 475-481, Hangzhu, China, 2009.

Digital Library

[39]

M. Rafiee, M. B. Ghaznavi-Ghoushchi, and B. Seyfe, "Processing power estimation of simple wireless sensor network nodes by power macro-modeling," in Proceedings of the International Conference on Computer Engineering and Technology (ICCET '09), pp. 428-431, January 2009.

Digital Library

[40]

J. Glaser, D. Weber, S. A. Madani, and S. Mahlknecht, "Power aware simulation framework for wireless sensor networks and nodes," EURASIP Journal on Embedded Systems, vol. 2008, Article ID 369178, 16 pages, 2008.

Digital Library

[41]

N. Julien, J. Laurent, E. Senn, and E. Martin, "Power consumptionmodeling and characterization of the TI C6201," IEEE Micro, vol. 23, no. 5, pp. 40-49, 2003.

Digital Library

[42]

D. Elléouet, Y. Savary, and N. Julien, "An FPGA power aware design flow," in Proceedings of the 16th International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS '06), vol. 4148 of Lecture Notes in Computer Science, pp. 415-424, Montpellier, France, 2006.

Digital Library

[43]

Meteociel, http://www.meteociel.fr/.

[44]

Meteo-France, http://france.meteofrance.com/.

[45]

C. Park and P. H. Chou, "Power utility maximization for multiple-supply systems by a load-matching switch," in Proceedings of the International Symposium on Lower Power Electronics and Design (ISLPED '04), pp. 168-173, Newport Beach, Calif, USA, 2004.

Digital Library

[46]

S. Irani, S. Shukla, and R. Gupta, "Online strategies for dynamic power management in systems with multiple powersaving states," ACM Transactions on Embedded Computing Systems, vol. 2, no. 3, pp. 325-346, 2003.

Digital Library

[47]

L. Benini, A. Macii, E. Macii, and M. Poncino, "Discharge current steering for battery lifetime optimization," in Proceedings of the International Symposium on Low Power Electronics and Design, pp. 118-123, August 2002.

Digital Library

[48]

O. Erdinc, B. Vural, and M. Uzunoglu, "A dynamic lithiumion battery model considering the effects of temperature and capacity fading," in Proceedings of the International Conference on Clean Electrical Power (ICCEP '09), pp. 383-386, June 2009.

[49]

C. Renner, J. Jessen, and V. Turau, "Lifetime predictionfor Supercapacitor-powered wireless sensor nodes," in Proceedings of the 8th GI/ITG KuVS Fachgespräch "Drahtlose Sensornetze" (FGSN '09), Hamburg, Germany, 2009.

[50]

National instruments, "NI LabVIEW," 2010, http://www.ni .com/labview/.

[51]

L. Gao, S. Liu, and R. A. Dougal, "Dynamic lithium-ion battery model for system simulation," IEEE Transactions on Components and Packaging Technologies, vol. 25, no. 3, pp. 495-505, 2002.

Cited By

Climent SSanchez ABlanc SCapella JOrs R(2016)Wireless sensor network with energy harvestingConcurrency and Computation: Practice & Experience10.1002/cpe.315128:6(1812-1830)Online publication date: 25-Apr-2016
https://dl.acm.org/doi/10.1002/cpe.3151
Ferry NDucloyer SJulien NJutel D(2011)Energy estimator for weather forecasts dynamic power management of wireless sensor networksProceedings of the 21st international conference on Integrated circuit and system design: power and timing modeling, optimization, and simulation10.5555/2045364.2045377(122-132)Online publication date: 26-Sep-2011
https://dl.acm.org/doi/10.5555/2045364.2045377

Index Terms

Power/energy estimator for designing WSN nodes with ambient energy harvesting feature

Recommendations

Research of Wireless Sensor Network Nodes Based on Ambient Energy Harvesting
ICINIS '13: Proceedings of the 2013 6th International Conference on Intelligent Networks and Intelligent Systems

The use of disposable battery in wireless sensor network (WSN) nodes limits the performance of wireless sensor network and the life of network, also increases the cost of the network. With energy technology that converts ambient energy (light, heat, ...
Prediction free energy neutral power management for energy harvesting wireless sensor nodes

Current power management mechanisms for energy harvesting wireless sensors typically rely on predicted information about the amount of energy that can be harvested in the future. However, such mechanisms suffer from inevitable prediction errors, which ...
Bio-inspired energy harvesting in WSN: a survey
ICC '17: Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing

The world is getting smarter with the use of computing technologies. Many of the domains are now based on intelligent solutions and taking their own decisions as per the requirement. For intelligent decision, real-time data gathering is the core ...

Comments

Information & Contributors

Information

Published In

cover image EURASIP Journal on Embedded Systems

EURASIP Journal on Embedded Systems Volume 2011, Issue

Special issue on networked embedded systems for energy management and buildings

January 2011

92 pages

ISSN:1687-3955

EISSN:1687-3963

Issue’s Table of Contents

Publisher

Hindawi Limited

London, United Kingdom

Publication History

Published: 01 January 2011

Accepted: 07 December 2010

Revised: 13 October 2010

Received: 04 June 2010

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
197
Total Downloads

Downloads (Last 12 months)29
Downloads (Last 6 weeks)9

Reflects downloads up to 25 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Climent SSanchez ABlanc SCapella JOrs R(2016)Wireless sensor network with energy harvestingConcurrency and Computation: Practice & Experience10.1002/cpe.315128:6(1812-1830)Online publication date: 25-Apr-2016
https://dl.acm.org/doi/10.1002/cpe.3151
Ferry NDucloyer SJulien NJutel D(2011)Energy estimator for weather forecasts dynamic power management of wireless sensor networksProceedings of the 21st international conference on Integrated circuit and system design: power and timing modeling, optimization, and simulation10.5555/2045364.2045377(122-132)Online publication date: 26-Sep-2011
https://dl.acm.org/doi/10.5555/2045364.2045377

View Options

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

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

Figures

Tables

Media

View Issue’s Table of Contents