research-article

GreenCastalia: an energy-harvesting-enabled framework for the Castalia simulator

Authors:

David Benedetti,

Chiara Petrioli,

Dora SpenzaAuthors Info & Claims

ENSSys '13: Proceedings of the 1st International Workshop on Energy Neutral Sensing Systems

Article No.: 7, Pages 1 - 6

https://doi.org/10.1145/2534208.2534215

Published: 13 November 2013 Publication History

Abstract

The emergence of energy-scavenging techniques for powering networks of embedded devices is raising the need for dedicated simulation frameworks that can support researchers and developers in the design and performance evaluation of harvesting-aware protocols and algorithms. In this work we present GreenCastalia, an open-source energy-harvesting simulation framework we have developed for the popular Castalia simulator. GreenCastalia supports multi-source and multi-storage energy harvesting architectures, it is highly modular and easily customizable. In addition, it allows to simulate networks of embedded devices with heterogeneous harvesting capabilities.

References

[1]

S. Basagni, M. Y. Naderi, C. Petrioli, and D. Spenza. Wireless sensor networks with energy harvesting. In Mobile Ad Hoc Networking: The Cutting Edge Directions, chapter 20, pages 701--736. John Wiley and Sons, Inc., Hoboken, NJ, 2013.

[2]

A. Boulis. Castalia: Revealing Pitfalls in Designing Distributed Algorithms in WSN. In Proceedings of SenSys 2007, pages 407--408, New York, NY, USA, 2007.

Digital Library

[3]

D. Brunelli, C. Moser, L. Thiele, and L. Benini. Design of a solar-harvesting circuit for batteryless embedded systems. IEEE Transactions on Circuits and Systems, 56(11): 2519--2528, 2009.

Digital Library

[4]

A. Cammarano, C. Petrioli, and D. Spenza. Pro-Energy: A novel energy prediction model for solar and wind energy-harvesting wireless sensor networks. In Proceedings of IEEE MASS 2012, Las Vegas, Nevada, October 2012.

Digital Library

[5]

A. Cammarano, D. Spenza, and C. Petrioli. Energy-harvesting WSNs for structural health monitoring of underground train tunnels. In Proceedings of IEEE INFOCOM 2013, Student Session, pages 9--10, Torino, Italy, April, 14--19 2013.

[6]

D. Carli, D. Brunelli, D. Bertozzi, and L. Benini. A high-efficiency wind-flow energy harvester using micro turbine. In Proceedings of SPEEDAM 2010, pages 778--783, 2010.

[7]

L. Chen, S. Cool, H. Ba, W. Heinzelman, I. Demirkol, U. Muncuk, K. Chowdhury, and S. Basagni. Range extension of passive wake-up radio systems through energy harvesting. In Proceedings of ICC 2013, Budapest, Hungary, June 2013.

[8]

P. De Mil, B. Jooris, L. Tytgat, R. Catteeuw, I. Moerman, P. Demeester, and A. Kamerman. Design and Implementation of a Generic Energy-Harvesting Framework Applied to the Evaluation of a Large-Scale Electronic Shelf-Labeling Wireless Sensor Network. EURASIP J. Wirel. Commun. Netw., 2010: 7:1--7:12, February 2010.

Digital Library

[9]

A. Didioui, C. Bernier, D. Morche, and O. Sentieys. HarvWSNet: A co-simulation Framework for Energy Harvesting Wireless Sensor Networks. In Proceedings of ICNC 2013, pages 808--812, San Diego, USA, January 2013.

Digital Library

[10]

EH Network Data Repository. http://eh-network.org/data.

[11]

M. Gorlatova, M. Zapas, E. Xu, M. Bahlke, I. J. Kymissis, and G. Zussman. CRAWDAD Data Set Columbia/Enhants, April 2011. http://crawdad.cs.dartmouth.edu/columbia/enhants.

[12]

GreenCastalia, 2013. http://senseslab.di.uniroma1.it/greencastalia.

[13]

J. Jeong and D. Culler. A Practical Theory of Micro-Solar Power Sensor Networks. ACM Transactions on Sensor Networking, 9(1): 9:1--9:36, November 2012.

Digital Library

[14]

A. Kailas, M.-A. Ingram, and D. Brunelli. A Simple Energy Model for the Harvesting and Leakage in a Supercapacitor. In Proceedings of IEEE ICC 2012, pages 6278--6282, Ottawa, Canada, June 2012.

[15]

A. Kansal, J. Hsu, S. Zahedi, and M. Srivastava. Power Management in Energy Harvesting Sensor Networks. ACM Transactions in Embedded Computing Systems, 6(4): Article 32, September 2007.

Digital Library

[16]

G. Merrett and A. Weddell. Supercapacitor Leakage in Energy-Harvesting Sensor Nodes: Fact or Fiction? In Proceedings of EnHaNSS 2012, Antwerp, Belgium, June 2012.

[17]

G. Merrett, N. White, N. Harris, and B. Al-Hashimi. Energy-Aware Simulation for Wireless Sensor Networks. In Proceedings of SECON 2009, pages 64--71, Piscataway, NJ, USA, June 2009.

Digital Library

[18]

A. Nasiri, S. Zabalawi, and G. Mandic. Indoor Power Harvesting Using Photovoltaic Cells for Low-Power Applications. IEEE Transactions on Industrial Electronics, 56(11): 4502--4509, 2009.

[19]

NREL: Measurement and Instrumentation Data Center, 2011. http://www.nrel.gov/midc.

[20]

The network simulator - NS2. http://www.isi.edu/nsnam/ns.

[21]

The network simulator - NS3. http://www.nsnam.org.

[22]

J. Olivo, D. Brunelli, and L. Benini. A kinetic energy harvester with fast start-up for wearable body-monitoring sensors. In Proceedings of PervasiveHealth 2010, pages 1--7, 2010.

[23]

OMNeT++ homepage. http://omnetpp.org.

[24]

C. Park and P. Chou. Ambimax: Autonomous energy harvesting platform for multi-supply wireless sensor nodes. In Proceedings of IEEE SECON 2006, volume 1, pages 168--177, Reston, Virginia, USA, September 25--28, 2006.

[25]

D. Pediaditakis, Y. Tselishchev, and A. Boulis. Performance and scalability evaluation of the castalia wireless sensor network simulator. In Proceedings of SIMUTools 2010, pages 53:1--53:6, 2010.

Digital Library

[26]

C. Petrioli, M. Nati, P. Casari, M. Zorzi, and S. Basagni. ALBA-R: Load-Balancing Geographic Routing Around Connectivity Holes in Wireless Sensor Networks. IEEE Transactions on Parallel and Distributed Systems, 2013.

[27]

J. Piorno, C. Bergonzini, D. Atienza, and T. Rosing. Prediction and Management in Energy Harvested Wireless Sensor Nodes. In Proceedings of Wireless VITAE 2009, pages 6--10, Aalborg, Denmark, May 2009.

[28]

V. Raghunathan, A. Kansal, J. Hsu, J. Friedman, and M. Srivastava. Design considerations for solar energy harvesting wireless embedded systems. In Proceedings of IPSN 2005, pages 457--462, Apr 15 2005.

Digital Library

[29]

Y. Ramadass and A. Chandrakasan. A battery-less thermoelectric energy harvesting interface circuit with 35 mv startup voltage. IEEE Journal of Solid-State Circuits, 46(1): 333--341, 2011.

[30]

C. Renner, J. Jessen, and V. Turau. Lifetime Prediction for Supercapacitor-Powered Wireless Sensor Nodes. In FGSN 2009, pages 55--58, August 2009.

[31]

A. Sánchez, S. Climent, S. Blanc, J. Capella, and I. Piqueras. WSN with Energy-Harvesting: Modeling and Simulation based on a Practical Architecture using Real Radiation Levels. In Proceedings of PM2HW2N 2011, pages 17--24, New York, NY, USA, 2011.

Digital Library

[32]

A. S. Weddell, M. Magno, G. V. Merrett, D. Brunelli, B. M. Al-Hashimi, and L. Benini. A survey of multi-source energy harvesting systems. In Proceedings of DATE 2013, pages 905--908, 2013.

Digital Library

[33]

WSNet Simulator Homepage. http://wsnet.gforge.inria.fr.

[34]

H. Wu, S. Nabar, and R. Poovendran. An Energy Framework for the Network Simulator 3 (NS-3). In Proceedings of SIMUTools 2011, pages 222--230, 2011.

Digital Library

[35]

T. Zhu, Z. Zhong, T. He, and Z.-L. Zhang. Energy-Synchronized Computing for Sustainable Sensor Networks. Elsevier Ad Hoc Networks Journal, 2010

Cited By

Yen BJaliff LGutierrez LSahinidis PBernstein SMadden JTaylor SJosephson CPannuto PShuai WWells GArora NHester J(2024)Soil-Powered ComputingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314107:4(1-40)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631410
Xia CMin TZhang DWang C(2024)Understanding the Needs of Novice Developers in Creating Self-Powered IoTProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642576(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642576
Sarang SStojanović GDrieberg MJeoti VValkama M(2024)HENO-MAC: Hybrid Energy Harvesting-based Energy Neutral Operation MAC Protocol for Delay-Sensitive IoT Applications2024 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC57260.2024.10571258(1-6)Online publication date: 21-Apr-2024
https://doi.org/10.1109/WCNC57260.2024.10571258
Show More Cited By

Index Terms

GreenCastalia: an energy-harvesting-enabled framework for the Castalia simulator
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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 ...
ODMAC: an on-demand MAC protocol for energy harvesting - wireless sensor networks
PE-WASUN '11: Proceedings of the 8th ACM Symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks

Energy Harvesting (EH) provides a promising solution to one of the biggest problems faced by Wireless Sensor Networks (WSN), namely the energy supply. By harvesting energy from the surrounding environment, the sensors can have an in finite lifetime ...
An energy framework for the network simulator 3 (NS-3)
SIMUTools '11: Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques

The Network Simulator-3 (ns-3) is rapidly developing into a flexible and easy-to-use tool suitable for wireless network simulation. Since energy consumption is a key issue for wireless devices, wireless network researchers often need to investigate the ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

ENSSys '13: Proceedings of the 1st International Workshop on Energy Neutral Sensing Systems

November 2013

94 pages

ISBN:9781450324328

DOI:10.1145/2534208

General Chairs:
Geoff V Merrett
Uni. Southampton, UK
,
Davide Brunelli
Uni. Trento, Italy

Copyright © 2013 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

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 November 2013

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

SenSys '13

Sponsor:

SenSys '13: The 11th ACM Conference on Embedded Network Sensor Systems

November 13, 2013

Italy, Rome

Acceptance Rates

ENSSys '13 Paper Acceptance Rate 12 of 20 submissions, 60%;

Overall Acceptance Rate 12 of 20 submissions, 60%

Upcoming Conference

SenSys '24

Sponsor:
sigbed
sigbed
sigbed
sigbed
sigbed

The 22nd ACM Conference on Embedded Networked Sensor Systems

November 4 - 7, 2024

Hangzhou , China

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

59
Total Citations
View Citations
349
Total Downloads

Downloads (Last 12 months)23
Downloads (Last 6 weeks)0

Reflects downloads up to 06 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

Yen BJaliff LGutierrez LSahinidis PBernstein SMadden JTaylor SJosephson CPannuto PShuai WWells GArora NHester J(2024)Soil-Powered ComputingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314107:4(1-40)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631410
Xia CMin TZhang DWang C(2024)Understanding the Needs of Novice Developers in Creating Self-Powered IoTProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642576(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642576
Sarang SStojanović GDrieberg MJeoti VValkama M(2024)HENO-MAC: Hybrid Energy Harvesting-based Energy Neutral Operation MAC Protocol for Delay-Sensitive IoT Applications2024 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC57260.2024.10571258(1-6)Online publication date: 21-Apr-2024
https://doi.org/10.1109/WCNC57260.2024.10571258
Sheshashayee ABordin Mdel Prever PVilla DCheng HPetrioli CMelodia TBasagni S(2024)Experimental Evaluation of the Performance of UAV-assisted Data Collection for Wake-up Radio-enabled Wireless Networks2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)10.1109/VTC2024-Spring62846.2024.10683175(01-06)Online publication date: 24-Jun-2024
https://doi.org/10.1109/VTC2024-Spring62846.2024.10683175
Lu SHuo JYang JCao F(2024)A Routing Protocol Based on Multiobjective Mayfly Optimization Algorithm for Solar Energy Dynamical Supply of Field Observation Instrument NetworkIEEE Sensors Journal10.1109/JSEN.2024.336198824:7(11537-11552)Online publication date: 1-Apr-2024
https://doi.org/10.1109/JSEN.2024.3361988
Sheshashayee APetrioli CBasagni S(2024)On the Impact of Overcoming Wake-up Radio Limitations on the Performance of Energy Aware Routing in Wireless Sensor Networks2024 33rd International Conference on Computer Communications and Networks (ICCCN)10.1109/ICCCN61486.2024.10637620(1-9)Online publication date: 29-Jul-2024
https://doi.org/10.1109/ICCCN61486.2024.10637620
Sarang SStojanović GDrieberg MJeoti VValkama M(2024)QoS and Burst Transmission Enabled MAC Protocol for Ambient IoT2024 7th International Balkan Conference on Communications and Networking (BalkanCom)10.1109/BalkanCom61808.2024.10557186(285-289)Online publication date: 3-Jun-2024
https://doi.org/10.1109/BalkanCom61808.2024.10557186
Hafaiedh IGafsi AYahyaoui MAouinette Y(2024)A model-based approach for formal verification and performance evaluation of energy harvesting architectures in IoT systems: A case study of a long-term healthcare applicationSimulation Modelling Practice and Theory10.1016/j.simpat.2024.102990136(102990)Online publication date: Nov-2024
https://doi.org/10.1016/j.simpat.2024.102990
Göpfert JRenner B(2023)High-level Simulation of the Timely Behavior of Intermittent SystemsProceedings of the 11th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems10.1145/3628353.3628539(1-7)Online publication date: 12-Nov-2023
https://dl.acm.org/doi/10.1145/3628353.3628539
Guler NHazem Z(2023)EADS-EHWSNs: Efficient Energy-Based Adaptive Duty Cycle Scheme for Energy-Harvested Wireless Sensor Networks2023 IEEE 8th International Conference on Engineering Technologies and Applied Sciences (ICETAS)10.1109/ICETAS59148.2023.10346482(1-6)Online publication date: 25-Oct-2023
https://doi.org/10.1109/ICETAS59148.2023.10346482
Show More Cited By

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.

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