The paper presents a numerical energy harvesting model for sensor nodes, SIVEH (Simulator I–V for EH), based on I–V hardware tracking. I–V tracking is demonstrated to be more accurate than traditional energy modeling techniques when some of the components present different power dissipation at either different operating voltages or drawn currents. SIVEH numerical computing allows fast simulation of long periods of time—days, weeks, months or years—using real solar radiation curves. Moreover, SIVEH modeling has been enhanced with sleep time rate dynamic adjustment, while seeking energy-neutral operation. This paper presents the model description, a functional verification and a critical comparison with the classic energy approach.
References
[1]
Jurdak, R. Wireless Ad Hoc and Sensor Networks—A Cross-Layer Design Perspective; Springer: Berlin/Heidelberg, Germany, 2006.
[2]
Akyildiz, I.; Melodia, T.; Chowdury, K. Wireless multimedia sensor networks: A survey. IEEE Wirel. Commun. 2007, 14, 32–39.
[3]
Cesana, M.; Fratta, L. Wireless Systems and Network Architectures in Next Generation Internet; Lecture Notes in Computer Science; Springer: Berlin/Heidelberg, Germany, 2006; Volume 3883.
[4]
Madan, R.; Cui, S.; Lall, S.; Goldsmith, N. Cross-layer design for lifetime maximization in interference-limited wireless sensor networks. IEEE Trans. Wirel. Commun. 2006, 5, 3142–3152.
[5]
Wang, Z.L.; Wu, W. Nanotechnology-enabled energy harvesting for self-powered micro-/nanosystems. Angew. Chem. 2012, 51, 11700–11721.
[6]
Riemer, R.; Shapiro, A. Biomechanical energy harvesting from human motion: Theory, state of the art, design guidelines, and future directions. J. Neuroeng. Rehabil. 2011, 8, 22.
[7]
Sudevalayam, S.; Kulkarni, P. Energy harvesting sensor nodes: Survey and implications. IEEE Commun. Surv. Tutor. 2011, 13, 443–461.
[8]
Alippi, C.; Galperti, C. An adaptive system for optimal solar energy harvesting in wireless sensor network nodes. IEEE Trans. Circuits and Syst. I: Regul. Pap. 2008, 55, 1742–1750.
[9]
Raghunathan, V.; Kansal, A.; Hsu, J.; Friedman, J.; Sivastava, M. Design Considerations for solar Energy Harvesting Wireless Embedded Systems. Proceedings of the 4th International Symposium on Information Processing in Sensor Networks, (IPSN'05), Los Angeles, CA, USA, 25–27 April 2005; p. 64.
[10]
Simjee, F.; Chou, P.H. Everlast: Long-life, Supercapacitor-operated Wireless Sensor Node. Proceedings of the 2006 International Symposium on Low Power Electronics and Design, (ISLPED'06), Tegernsee, Bavaria, Germany, 04–06 October 2006; pp. 197–202.
[11]
Zhu, T.; Zhong, Z.; Gu, Y.; He, T.; Zhang, Z.L. Leakage-aware Energy Synchronization for Wireless Sensor Networks. Proceedings of the 7th international conference on Mobile Systems, Applications, and Services, (Mobisys'09), Krakw, Poland, 22–25 June 2009; pp. 319–332.
[12]
Alippi, C.; Camplani, R.; Galperti, C.; Roveri, M. A robust, adaptive, solar-powered WSN framework for aquatic environmental monitoring. IEEE Sens. J. 2011, 11, 45–55.
[13]
Park, C.; Chou, P. AmbiMax: Autonomous Energy Harvesting Platform for Multi-Supply Wireless Sensor Nodes. Proceedings of the 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks, Reston, VA, USA, 28 September 2006; pp. 168–177.
[14]
Jiang, X.; Polastre, J.; Culler, D. Perpetual Environmentally Powered Sensor Networks. Proceedings of the Fourth International Symposium on Information Processing in Sensor Networks, (IPSN 2005), Los Angeles, CA, USA, 25–27 April 2005; pp. 463–468.
[15]
Lee, K.Y.; Niu, J.H.; Lin, G.W. A Simplified Analog Control Circuit of a Maximum Power Point Tracker. Proceedings of the IEEE 2008 33rd IEEE Photovolatic Specialists Conference, San Diego, CA, USA, 11–16 May 2008; pp. 1–3.
[16]
Lopez-Lapena, O.; Penella, M.T.; Gasulla, M. A new MPPT method for low-power solar energy harvesting. IEEE Trans. Ind. Electron. 2010, 57, 3129–3138.
[17]
Merrett, G.; Weddell, A.; Lewis, A.; Harris, N.; Al-Hashimi, B.; White, N. An Empirical Energy Model for Supercapacitor Powered Wireless Sensor Nodes. Proceedings of IEEE 17th International Conference on Computer Communications and Networks, St. Thomas, US Virgin Islands, 3–7 August 2008; pp. 1–6.
[18]
Renner, C.; Jessen, J.; Turau, V. Lifetime Prediction for Supercapacitor-Powered Wireless Sensor Nodes. Proceedings of FGSN 2009, Hamburg, Germany, 13–14 August 2008; pp. 1–6.
[19]
Kansal, A.; Hsu, J.; Zahedi, S.; Srivastava, M.B. Power management in energy harvesting sensor networks. ACM Trans. Embed. Comput. Syst. 2007, 6, 32, doi:10.1145/1274858.1274870.
[20]
Niyato, D.; Hossain, E.; Rashid, M.; Bhargava, V. Wireless sensor networks with energy harvesting technologies: A game-theoretic approach to optimal energy management. IEEE Wirel. Commun. 2007, 14, 90–96.
[21]
Sharma, V.; Mukherji, U.; Joseph, V. Efficient Energy Management Policies for Networks with Energy Harvesting Sensor Nodes. Proceedings of the 2008 46th Annual Allerton Conference on Communication, Control, and Computing, Urbana-Champaign, IL, USA, 23–26 September 2008; pp. 375–383.
[22]
Zhang, B.; Simon, R.; Aydin, H. Maximum Utility Rate Allocation for Energy Harvesting Wireless Sensor Networks. Proceedings of the 14th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, (MSWiM'11), Los Angeles, CA, USA, 31 October–4 November 2011; pp. 7–16.
[23]
Sanchez, A.; Climent, S.; Blanc, S.; Capella, J.V.; Piqueras, I. WSN with Energy-harvesting: Modeling and Simulation Based on a Practical Architecture Using Real Radiation Levels. Proceedings of the 6th ACM Workshop on Performance Monitoring And Measurement of Heterogeneous Wireless and Wired Networks, (PM2HW2N&apos 11), Los Angeles, CA, USA, 31 October–4 November 2011; pp. 17–24.
[24]
EECS Department of the University of California at Berkley. SPICE. Available online http://bwrc.eecs.berkeley.edu/Classes/IcBook/SPICE/ (accessed on 3 September 2013).
[25]
Ye, W.; Vijaykrishnan, N.; Kandemir, M.; Irwin, M.J. The Design and Use of Simplepower: A Cycle-accurate Energy Estimation Tool. Proceedings of the 37th Conference on Design Automation, (DAC&apos 00), Los Angeles, CA, USA, 5–9 June 2000; pp. 340–345.
[26]
Panasonic Electronic Devices CO., L. Gold Capacitors Technical Guide, Technical Report. Available online: http://www.panasonic.com/industrial/components/pdf/goldcap_tech-guide_052505.pdf (accessed on 3 September 2013).
[27]
Tremblay, O.; Dessaint, L.A.; Dekkiche, A.I. A Generic Battery Model for the Dynamic Simulation of Hybrid Electric Vehicles. Proceedings of the 2007 IEEE Vehicle Power and Propulsion Conference, Arlington, TX, USA, 9–12 September 2007; pp. 284–289.
[28]
TI. Analog, Embedded Processing, Semiconductor Company, Texas Instruments. Available online: http://www.ti.com (accessed on 3 September 2013).
[29]
ST. ST Microelectronics. Available online: http://www.st.com (accessed on 3 September 2013).
[30]
Linear Technology. Home Page. Available online: http://www.linear.com/ (accessed on 3 September 2013).
[31]
Ns-3. ns-3. Available online: http://www.nsnam.org (accessed on 3 September 2013).
[32]
Sanchez, A.; Blanc, S.; Yuste, P.; Perles, A.; Serrano, J.J. An ultra-low power and flexible acoustic modem design to develop energy-efficient underwater sensor networks. Sensors 2012, 12, 6837–6856.
