Skip to main content
SpringerLink
Log in

RSSI-Based ZIGBEE Independent Monitoring System in Prison for Prisoners

  • Conference paper
  • First Online:
Information Systems Design and Intelligent Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 672))

  • 1889 Accesses

Abstract

Law-breakers around the world are put behind the bars, whereby various chances of escaping from the prison are available. Several secure technologies are available in and around the world, but none of them helps to reduce the chances of escaping from the prison. So a system was created to protect the prisoners from escaping the prison by using the method of received signal strength indicator (RSSI) which monitors the distance between a pair of nodes in a network. Another method called Electron-ICS enables the development of microsensor which manages the wireless communication network.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
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

Similar content being viewed by others

References

  1. A. VEMPATY, O. OZDEMIR, K. AGARWAK, et al, Localization in Wireless Sensor Networks: Byzantines and Mitigation Techniques, IEEE Trans. on Signal Process., vol. 61, no. 6, pp. 1495–1508, Jun., 2013.

    Google Scholar 

  2. X.F. Zhang, Q.M. Cui, Y.L. Shi, X.F. Tao, Robust Localization algorithm for solving neighbor position ambiguity, Electronics Letter, Vol. 49, no. 17, pg.1106–1107, Aug 2013.

    Google Scholar 

  3. J. A. Jiang, X. Y. ZHENG, Y. F. Chen, et al, A Distributed RSS-Based Localiza-tion Using a Dynamic Circle Expanding Mechanism, IEEE Sensors Journal, vol. 13, no. 10, pp. 3754–3766, October, 2013.

    Google Scholar 

  4. Q. H. Luo, Y. Peng, X. Y. Peng Ei Saddik, Uncertain Data Clustering-based Distance Estimation in Wireless Sensor Networks, Sensors, vol. 14, no. 4, pp. 6584–6605, April., 2014.

    Google Scholar 

  5. M. F. SNOUSSI, H. Richard, Interval-Based Localization using RSSI Comparison in MANETs, IEEE Trans. Aerospace and Electronic Systems., vol. 47, no. 4, pp. 2897–2910, Apr., 2011.

    Google Scholar 

  6. P. Bahl, V. N. Padmanabhan, RADAR: An In-Building RF-based User Loca-tion and Tracking System, in IEEE INFOCOM 2000, Tel-Aviv, Israel, March, 2000, pp. 775–784.

    Google Scholar 

  7. W. Kim, J. Park, J. Yoo, H.J. Kim, C.J. Park, Target Localization using Ensemble Sup-port Vector Regression in Wireless Sensor Networks, IEEE Trans. Cybernetics, Vol. 43, no. 4, pg. 1189–1198, Apr. 2013.

    Google Scholar 

  8. Y. Ji, S. Bias, S. Pandey, P. Agrawal, ARIADNE: A dynamic indoor signal map construction and localization system, In ACM MobiSys06, Uppsala, Sweden, June, 2006, pp. 151–164.

    Google Scholar 

  9. W. L. Zhang, Q. Y. Yin, H. Y. Chen, et al, Distributed Angle Estimation for local-ization in wireless sensor networks, IEEE Transactions on Wireless communications, vol. 12, no. 2, pp. 527–5367, Feb., 2013.

    Google Scholar 

  10. P. K. Sahu, E. H. K. Wu, J. Sahoo, DURT: Dual RSSI Trend based localization for wireless sensor networks, IEEE Sensors Journal, vol. 14, no. 3, pp. 3115–3123, Mar. 2013.

    Google Scholar 

  11. Y. M. Ji, C. B. Yu, J. M. Wei, et al, Localization bias reduction in wireless sensor networks, IEEE Transactions on Industrial Electronics, vol. 62, no. 5, pp. 3004–3016, May, 2015.

    Google Scholar 

  12. Q. H. Luo, X. Z. Yan, J. B. Li, Y. Peng, dynamic distance estimation using uncertain data stream clustering in mobile wireless sensor networks, Measurement, vol. 55, no. 40, pp. 423–433, Sept., 2014.

    Google Scholar 

  13. B. C. Seet, Q. Zhang, C. H. Foh, et al, Hybrid RF Mapping and KALMAN altered spring relaxation for sensor network localization, IEEE Sensors Journal, vol. 12, no. 5, pp 1427–1445. 2012.

    Google Scholar 

  14. B. Li, Y. G. He, F. M. Guo, L. Zuo, A novel localization algorithm based on and partial least squares for wireless sensor networks, IEEE Transactions on Instrumen-tation and Measurement, vol. 62, no. 2, pp. 304–314, 2013.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Kakinada, 533003, AP, India

    P. Vijayaragavan

  2. Department of Computer Science and Engineering, Sri Lakshmi Ammal Engineering College, Thiruvanchery, Tambaram East, Chennai, 600126, Tamil Nadu, India

    R. Ponnusamy

  3. Department of Information Technology, Perunthalaivar Kamarajar Institute of Engineering and Technology (PKIET), Nedungudi, Karaikudi, 609603, Tamil Nadu, India

    M. Arramuthan

  4. Department of Computer Science and Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Missions University Paiyanoor, Chennai, Tamil Nadu, India

    T. Vijila

Authors
  1. P. Vijayaragavan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. R. Ponnusamy
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. Arramuthan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. T. Vijila
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to P. Vijayaragavan .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. Technology and Engineering Division, Duy Tan University, Da Nang, Vietnam

    Bao Le Nguyen

  3. Duy Tan University, Da Nang, Vietnam

    Nhu Gia Nguyen

  4. Department of CSE, PVP Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India

    Suresh Chandra Satapathy

  5. Faculty of Information Technology , Hai Phong University, Hai Phong, Vietnam

    Dac-Nhuong Le

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Vijayaragavan, P., Ponnusamy, R., Arramuthan, M., Vijila, T. (2018). RSSI-Based ZIGBEE Independent Monitoring System in Prison for Prisoners. In: Bhateja, V., Nguyen, B., Nguyen, N., Satapathy, S., Le, DN. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 672. Springer, Singapore. https://doi.org/10.1007/978-981-10-7512-4_3

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-7512-4_3

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7511-7

  • Online ISBN: 978-981-10-7512-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation