Skip to main content
SpringerLink
Log in

A High Sensing Accuracy Mechanism for Wireless Sensor Networks

  • Conference paper
  • First Online:
Advances on Broad-Band Wireless Computing, Communication and Applications (BWCCA 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 159))

  • 510 Accesses

Abstract

The wireless sensor networks have lots of popular applications for years. The efficiency of a wireless sensor network is subject to the monitoring accuracy and limited energy. Thus, event detection and energy efficiency are two important issues in Wireless Sensor Networks. In order to overcome the limit of yield rate for sensor hardware, some studies built other monitoring system to support monitoring for enhancing monitoring accuracy. According to limited energy, some studies designed energy efficient mechanisms to extend the lifetime of monitoring. In this paper, we propose a distributed cooperative mechanism that neighboring sensors mutual confirm the event occurrence for improving the monitoring accuracy and reducing the total numbers and energy consumption of transmissions. The result of simulations reveals that using the proposed mechanism, the monitoring lifetime is extended and the monitoring accuracy of proposed mechanism is much better than other existed mechanisms.

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

Access this chapter

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 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
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

Institutional subscriptions

References

  1. Kay, J.M., Frolik, J.: An expedient wireless sensor automaton with system scalability and efficiency benefits. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 38(6), 1198–1209 (2008)

    Article  Google Scholar 

  2. Erdelj, M., Razafindralambo, T., Simplot-Ryl, D.: Covering points of interest with mobile sensors. IEEE Trans. Parallel Distrib. Syst. 24(1), 32–43 (2013)

    Article  Google Scholar 

  3. Wang, Z., Liao, J., Cao, Q., Qi, H., Wang, X.: Achieving k-barrier coverage in hybrid directional sensor networks. IEEE Trans. Mobile Comput. 13(7), 1443–1455 (2014)

    Article  Google Scholar 

  4. Awasthi, R., Kaur, N.: Review of energy efficient techniques of IoT. Int. J. Recent Innov. Trends Comput. Commun. 7(5), 17–21 (2019)

    Article  Google Scholar 

  5. Faillettaz, J., Or, D., Reiweger, I.: Codetection of acoustic emissions during failure of heterogeneous media: new perspectives for natural hazard early warning. Geophys. Res. Lett. 43, 1075–1083 (2016)

    Article  Google Scholar 

  6. Faillettaz, J., Funk, M., Beutel, J., Vieli, A.: Towards early warning of gravitational slope failure with co-detection of microseismic activity: the case of an active rock glacier. Nat. Hazards Earth Sys. Sci. 19(7), 1399–1413 (2019)

    Article  Google Scholar 

  7. Meyer, M., Farei-Campagna, T., Pasztor, A., Da Forno, R., Gsell, T., Faillettaz, J., Vieli, A., Weber, S., Beutel, J., Thiele, L.: Event triggered natural hazard monitoring with convolutional neural networks on the edge. In: ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) (2019)

    Google Scholar 

  8. Reddy, P.K., Babu, R.: An evolutionary secure energy efficient routing protocol in Internet of Things. Int. J. Intell. Eng. Syst. 10(3), 337–346 (2017)

    Google Scholar 

  9. Rani, S., Talwar, R., Malhotra, J., Ahmed, S., Sarkar, M., Song, H.: A novel scheme for an energy-efficient Internet of things based on wireless sensor networks. Sensors 15(11), 28603–28626 (2015)

    Article  Google Scholar 

  10. Moosavi, S., Gia, T., Nigussie, E.: End-to-end security scheme for mobility enabled healthcare Internet of Things. Future Gener. Comput. Syst. 64(1), 108–124 (2016)

    Article  Google Scholar 

  11. Marco, P., Athanasiou, G., Mekikis, P., Fischione, C.: MAC-aware routing metrics for the Internet of Things. Comput. Commun. 74(15), 77–86 (2016)

    Article  Google Scholar 

  12. Cavalcante, V., Pereira, J., Pitanga, M., Moura, R., Batista, T., Flavia, C., Paulo, F.: On the interplay of Internet of Things and cloud computing: a systematic mapping study. Comput. Commun. 89(1), 17–33 (2016)

    Article  Google Scholar 

  13. Mohammed, I.Y., Elrahim, A.G.A.: Energy efficient routing protocol for heterogeneous wireless sensor networks. SUST J. Eng. Comput. Sci. 20(1), 1–10 (2019)

    Google Scholar 

  14. Hung, L.-L., Leu, F.-Y., Tsai, K.-L., Ko, C.-Y.: Energy-efficient cooperative routing scheme for heterogeneous wireless sensor networks. IEEE Access 8, 56321–56332 (2020)

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported in part by the Ministry of Science and Technology, Taiwan, under Grant MOST 108-2221-E-156-002, Grant MOST 109-2221-E-156-002 and Grant MOST 109-2221-E-029-017-MY2.

Author information

Authors and Affiliations

  1. Aletheia University, New Taipei, Taiwan

    Li-Ling Hung

  2. Tunghai University, Taichung, Taiwan

    Fang-Yie Leu

Authors
  1. Li-Ling Hung
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fang-Yie Leu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Li-Ling Hung .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Advanced Sciences, Faculty of Science and Engineering, Hosei University, Tokyo, Japan

    Makoto Takizawa

  3. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  4. Department of Computer Science and Information Engineering, Asian University, Taichung, Taiwan

    Hsing-Chung Chen

  5. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Keita Matsuo

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hung, LL., Leu, FY. (2021). A High Sensing Accuracy Mechanism for Wireless Sensor Networks. In: Barolli, L., Takizawa, M., Enokido, T., Chen, HC., Matsuo, K. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2020. Lecture Notes in Networks and Systems, vol 159. Springer, Cham. https://doi.org/10.1007/978-3-030-61108-8_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-61108-8_27

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61107-1

  • Online ISBN: 978-3-030-61108-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation