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Modeling and Analysis: Energy Harvesting in the Internet of Things

Published: 13 November 2016 Publication History

Abstract

In the Internet of Things(IoT), the size constraint of those small and embedded devices limits the network lifetime because limited energy can be stored on these devices. In recent years, energy harvesting technology has attracted increasing attention, due to its ability to extend the network lifetime significantly. However, the performance of IoT devices powered by energy harvesting sources has not been fully analyzed and understood. In this paper, we model the energy harvesting process in IoT devices using slotted Carrier Sense Multiple Access with Collision Avoidance (CSMA /CA) mechanism of IEEE 802.15.4 standard, and analyze the performance in terms of delay and throughput. Our new model successfully integrates the energy harvesting process and binary backoff process through a unified Markov chain model. Finally, the new model is validated by simulation and the throughput errors between simulation and analytical model are no more than 6%. We demonstrate the application of the model with different energy harvesting rate corresponding to different sources such as solar and vibration energy harvesters.

References

[1]
IEEE Std 802.15.4--2011, September, Part 15.4: Low-Rate Wireless Personal Area Networks (LR-WPANs). IEEE, 2011.
[2]
E. Arias-Castro, J. Kleissl, and M. Lave. A Poisson model for anisotropic solar ramp rate correlations . Solar Energy, 101:192--202, 2014.
[3]
Y. Chen, C.-A. Tan, M. Q. Feng, and Y. Fukuda. A video assisted approach for structural health monitoring of highway bridges under normal traffic. Proc. SPIE, 6174:1--18, 2006.
[4]
N. Dang, R. Valentini, E. Bozorgzadeh, M. Levorato, and N. Venkatasubramanian. A Unified Stochastic Model for Energy Management in Solar-Powered Embedded Systems. In Proc. of the IEEE/ACM International Conference on Computer-Aided Design (ICCAD), pages 621 -- 626, 2015.
[5]
Z. Eu, H. Tan, and W. Seah. Design and performance analysis of MAC schemes for Wireless Sensor Networks Powered by Ambient Energy Harvesting. Ad Hoc Networks, 9(3):300--323, 2011.
[6]
D. M. Frangopol. Life-cycle performance, management, and optimisation of structural systems under uncertainty: accomplishments and challenges. Structure and Infrastructure Engineering, 7(6):389--413, 2011.
[7]
J. Han, J. Hu, Y. Yang, Z. Wang, S. X. Wang, and J. He. A nonintrusive power supply design forself-powered sensor networks in the smartgrid by scavenging energy from ac power line. IEEE Transactions on Industrial Electronics, 62(7):4398--4407, 2015.
[8]
C. K. Ho, P. D. Khoa, and P. C. Ming. Markovian Models for Harvested Energy in Wireless Communications. In Proc. of IEEE International Conference on Communication Systems (ICCS), pages 311--315, 2010.
[9]
F. Iannello, O. Simeone, and U. Spagnolini. Medium Access Control Protocols for Wireless Sensor Networks with Energy Harvesting. IEEE Transactions on Communications, 60(5):1381 -- 1389, 2012.
[10]
A. Koubaa, M. Alves, and E. Tovar. A comprehensive simulation study of slotted CSMA/CA for IEEE 802.15.4 wireless sensor networks. In Proc. of IEEE International Workshop on Factory Communication Systems, pages 183--192, 28--30 June 2006.
[11]
J. Lei, R. Yates, and L. Greenstein. A Generic Model for Optimizing Single-Hop Transmission Policy of Replenishable Sensors. IEEE Transactions on Wireless Communications, 8(2), 2009.
[12]
V. Leonov. Thermoelectric energy harvesting of human bodyheat for wearable sensors. IEEE Sensors Journal, 13(6):2284--2291, 2013.
[13]
J. Mišić, V. B. Mišić, and S. Shafi. Performance of a beacon enabled IEEE 802.15.4 cluster with downlink and uplink traffic. IEEE Transactions on Parallel and Distributed Systems, 17(4):361--376, 2006.
[14]
NIWA. Solarview.
[15]
P. Park, C. Fischione, and K. H. Johansson. Modeling and Stability Analysis of Hybrid Multiple Access in the IEEE 802.15.4 Protocol. ACM Transactions on Sensor Networks, 9(2), 2013.
[16]
P. Park, P. D. Marco, P. Soldati, C. Fischione, and K. Johansson. A generalized Markov chain model for effective analysis of slotted IEEE 802.15.4. In Proc. of IEEE 6th International Conference on Mobile Adhoc and Sensor Systems (MASS), pages 130--139, Macau, 12--15 Oct 2009.
[17]
S. Pollin, M. Ergen, S. Ergen, B. Bougard, L. D. Perre, I. Moerman, A. Bahai, P. Varaiya, and F. Catthoor. Performance Analysis of Slotted Carrier Sense IEEE 802.15.4 Medium Access Layer. IEEE Transactions on Wireless Communications, 7(9):3359 -- 3371, 2008.
[18]
Post, E. Rehmi, and K. Waal. Electrostatic power harvesting for material computing. Personal and Ubiquitous Computing, 15(2):115--121, 2011.
[19]
L. Ren, R. Chen, H. Xia, and X. Zhang. Energy harvesting performance of a broadband electromagnetic vibration energy harvester for powering industrial wireless sensor networks. proc. SPIE, 9799:1--11, 2016.
[20]
W. K. G. Seah, Z. A. Eu, and H.-P. Tan. Wireless Sensor Networks Powered by Ambient Energy Harvesting (WSN-HEAP) - Survey and Challenges. In Proc. of the 1st International Conference on Wireless, pages 1--5, 2009.
[21]
G. Yang, G.-Y. Lin, and H.-Y. Wei. Markov Chain Performance Model for IEEE 802.11 Devices with Energy Harvesting Source. In Proc. of Global Communications Conference(GLOBECOM), pages 5212--5217, 2012.
[22]
J. C. Yong, H. H. Young, S. D. Keun, and H. G. Uk. Enhanced Markov Chain Model and Throughput Analysis of the Slotted CSMACA for IEEE 802.15.4 Under Unsaturated Traffic Conditions. IEEE Transactions on Vehicular Technology, 58(1):473 -- 478, 2009.
[23]
A. Zanella, N. Bui, A. Castellani, and L. V. amd Michele Zorzi. Internet of things for smart cities. IEEE Internet of Things Journal, 1(1):22--32, 2014.

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  • (2024)A Real-Time Trust Management Model Using Digital Twin in IoT NetworksIEEE Access10.1109/ACCESS.2024.350687012(183326-183343)Online publication date: 2024
  • (2021)An Analytical Model for a Class of Receiver-Initiated MAC Protocols for Energy Harvesting Wireless Sensor Networks2021 10th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks (PEMWN)10.23919/PEMWN53042.2021.9664679(1-7)Online publication date: 23-Nov-2021
  • (2021)A queueing model for a wireless sensor node using energy harvestingTelecommunication Systems10.1007/s11235-021-00758-1Online publication date: 11-Feb-2021
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      cover image ACM Conferences
      MSWiM '16: Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
      November 2016
      370 pages
      ISBN:9781450345026
      DOI:10.1145/2988287
      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]

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      Published: 13 November 2016

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      Author Tags

      1. csma/ca
      2. energy harvesting
      3. ieee 802.15.4 standard
      4. internet of things
      5. markov process

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      • Research-article

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      • Information and Communications Research Laboratories of the Industrial Technology Research Institute (ICL/ITRI)
      • Institute for Information Industry (III)
      • VUW University Research Fund Grant
      • Ministry of Science and Technology
      • Excellent Research Projects of National Taiwan University

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      MSWiM '16 Paper Acceptance Rate 36 of 138 submissions, 26%;
      Overall Acceptance Rate 398 of 1,577 submissions, 25%

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      Cited By

      View all
      • (2024)A Real-Time Trust Management Model Using Digital Twin in IoT NetworksIEEE Access10.1109/ACCESS.2024.350687012(183326-183343)Online publication date: 2024
      • (2021)An Analytical Model for a Class of Receiver-Initiated MAC Protocols for Energy Harvesting Wireless Sensor Networks2021 10th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks (PEMWN)10.23919/PEMWN53042.2021.9664679(1-7)Online publication date: 23-Nov-2021
      • (2021)A queueing model for a wireless sensor node using energy harvestingTelecommunication Systems10.1007/s11235-021-00758-1Online publication date: 11-Feb-2021
      • (2019)A Novel Dynamic Energy Model for the Energy-Harvesting IoT NodeProceedings of the 2019 7th International Conference on Information Technology: IoT and Smart City10.1145/3377170.3377174(328-333)Online publication date: 20-Dec-2019
      • (2019)GWINs: Group-Based Medium Access for Large-Scale Wireless Powered IoT NetworksIEEE Access10.1109/ACCESS.2019.29560297(172913-172927)Online publication date: 2019
      • (2019)Learning AP in wireless powered communication networksInternational Journal of Communication Systems10.1002/dac.402732:14Online publication date: 16-Jul-2019
      • (2018)ALLYS: All You can Send for Energy Harvesting NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2017.274092917:4(775-788)Online publication date: 1-Apr-2018
      • (2018)A Tutorial on Performance Evaluation and Validation Methodology for Low-Power and Lossy NetworksIEEE Communications Surveys & Tutorials10.1109/COMST.2018.282081020:3(1799-1825)Online publication date: Nov-2019
      • (2018)Internet of Things-enabled smart cities: State-of-the-art and future trendsMeasurement10.1016/j.measurement.2018.07.067129(589-606)Online publication date: Dec-2018

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