Skip to main content
SpringerLink
Log in
Book cover

International Conference on Future Data and Security Engineering

FDSE 2022: Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications pp 674–681Cite as

Energy Harvesting Aware for Delay-Efficient Data Aggregation in Battery-Free IoT Sensors

  • Conference paper
  • First Online:

  • 1775 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1688))

Abstract

Battery-Free Wireless Sensor Network (BF-WSN) is a new energy harvesting technology that has been successfully integrated into Wireless Sensor Networks (WSNs). It allows sensor batteries to be charged using renewable energy sources. Sensor nodes in BF-WSNs are no longer constrained by the equipped batteries, but rather by the amount of energy harvested from their surroundings. In sensor networks, data aggregation is a fundamental procedure in which sensory data collected by relay nodes is merged using in-network computation. The Minimum Latency Aggregation Scheduling (MLAS) problem, which has been widely studied in battery-powered WSNs, is always a critical issue in WSNs. Modern approaches used in battery-powered WSNs, on the other hand, are incompatible with the use of BF-WSNs due to the limited energy harvesting capabilities of battery-free sensor nodes. In this paper, we investigate the MLAS problem in BF-WSNs. Leveraging the energy harvesting ability of the battery-free sensor nodes, we propose an approach that assigns more senders to relay nodes having high energy harvesting rates and schedules nodes whenever are ready for energy capacity data transmissions. Through extensive simulations, our proposed scheme surpasses the modern approach at most 40% in terms of aggregation delay.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   59.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Yang, S., Tahir, Y., Chen, P., Marshall, A., McCann, J.: Distributed optimization in energy harvesting sensor networks with dynamic in-network data processing. In: IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer Communications, pp. 1–9. IEEE (2016)

    Google Scholar 

  2. Chen, K., Gao, H., Cai, Z., Chen, Q., Li, J.: Distributed energy-adaptive aggregation scheduling with coverage guarantee for battery-free wireless sensor networks. In: IEEE INFOCOM 2019-IEEE Conference on Computer Communications, pp. 1018–1026. IEEE (2019)

    Google Scholar 

  3. Chen, Q., Gao, H., Cai, Z., Cheng, L., Li, J.: Energy-collision aware data aggregation scheduling for energy harvesting sensor networks. In: IEEE INFOCOM 2018-IEEE Conference on Computer Communications, pp. 117–125. IEEE (2018)

    Google Scholar 

  4. Le, D.T., Lee, T., Choo, H.: Delay-aware tree construction and scheduling for data aggregation in duty-cycled wireless sensor network. EURASIP J. Wirel. Commun. Networking 2018(1), 1–15 (2018)

    Google Scholar 

  5. Nguyen, T.-D., Le, D.-T., Vo, V.-V., Kim, M., Choo, H.: Fast sensory data aggregation in IoT networks: collision-resistant dynamic approach. IEEE Internet Things J. 8(2), 766–777 (2020)

    Article  Google Scholar 

  6. Vo, V.-V., Nguyen, T.-D., Le, D.-T., Kim, M., Choo, H.: Link-delay-aware reinforcement scheduling for data aggregation in Massive IoT. IEEE Trans. Commun. 70, 5353–5367 (2022)

    Article  Google Scholar 

  7. Networkx. https://networkx.org/

  8. Lu, X., Wang, P., Niyato, D., Kim, D.I., Han, Z.: Wireless networks with RF energy harvesting: a contemporary survey. IEEE Commun. Surv. Tutor. 17(2), 757–789 (2014)

    Article  Google Scholar 

  9. Wander, A.S., Gura, N., Eberle, H., Gupta, V., Shantz, S.C.: Energy analysis of public-key cryptography for wireless sensor networks. In: Third IEEE International Conference on Pervasive Computing and Communications, pp. 324–328. IEEE (2005)

    Google Scholar 

  10. Zhu, T., Li, J., Gao, H., Li, Y.: Data aggregation scheduling in battery-free wireless sensor networks. IEEE Trans. Mob. Comput. 21, 1972–1984 (2020)

    Article  Google Scholar 

Download references

Acknowledgement

This work is supported by the Ministry of Education Korea (NRF-2020 R1A2C2008447) and by IITP grant funded by the Korea government (MSIT) under the ICT Creative Consilience program (IITP-2022-2020-0-0182) and Artificial Intelligence Innovation Hub (No.2021-0-02068).

Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea

    Van-Vi Vo & Hyunseung Choo

  2. Department of Superintelligence Engineering, Sungkyunkwan University, Suwon, South Korea

    Phuoc-Nguyen Bui

  3. College of Computing and Informatics, Sungkyunkwan University, Suwon, South Korea

    Duc-Tai Le

Authors
  1. Van-Vi Vo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Phuoc-Nguyen Bui
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Duc-Tai Le
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hyunseung Choo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hyunseung Choo .

Editor information

Editors and Affiliations

  1. Ho Chi Minh City University of Food Industry, Ho Chi Minh City, Vietnam

    Tran Khanh Dang

  2. Johannes Kepler University of Linz, Linz, Austria

    Josef Küng

  3. Sungkyunkwan University, Seoul, Korea (Republic of)

    Tai M. Chung

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Vo, VV., Bui, PN., Le, DT., Choo, H. (2022). Energy Harvesting Aware for Delay-Efficient Data Aggregation in Battery-Free IoT Sensors. In: Dang, T.K., Küng, J., Chung, T.M. (eds) Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. FDSE 2022. Communications in Computer and Information Science, vol 1688. Springer, Singapore. https://doi.org/10.1007/978-981-19-8069-5_47

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-8069-5_47

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-8068-8

  • Online ISBN: 978-981-19-8069-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation