Advertisement

Redundancy Management in Homogeneous Architecture of Power Supply Units in Wireless Sensor Networks

  • Igor KabashkinEmail author
Conference paper
  • 10 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1173)

Abstract

Wireless sensor networks (WSN) are one of the basic technologies using various Internet of Things applications especially in cyber-physical systems. The cyber-physical system is usually designed for autonomous functioning without direct participation and control by humans. Sensors usually have autonomous power supply from batteries, which is one of the critical factors in the life cycle of a network and requires additional attention of its fault tolerance. In the paper additional method for reliability improving of the sensors in cluster-based WSN with individual and common set of redundant batteries and dynamic management of redundant architecture with two levels of availability is proposed. Mathematical model of the sensor reliability is developed. Comparative analysis of redundancy effectiveness for developed and used structure of backup architecture of batteries in cluster-based WSN is performed.

Keywords

Sensor Sensor cluster Wireless sensor networks Reliability Battery Redundancy 

References

  1. 1.
    Pottie, G.J.: Wireless integrated network sensors (WINS): the web gets physical. In: Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2001 NAE Symposium on Frontiers of Engineering, National Academies Press, p. 78 (2002)Google Scholar
  2. 2.
    Ayadi, A.: Energy-efficient and reliable transport protocols for wireless sensor networks: state-of-art. Wireless Sens. Netw. 3(3), 106–113 (2011)CrossRefGoogle Scholar
  3. 3.
    Sharma, K., Patel, R., Singh, H.: A reliable and energy efficient transport protocol for wireless sensor networks. Int. J. Comput. Netw. Commun. 2(5), 92–103 (2010)CrossRefGoogle Scholar
  4. 4.
    Park, S.-J., Sivakumar, R., Akyildiz, I.F., et al.: GARUDA: achieving effective reliability for downstream communication in wireless sensor networks. IEEE Trans. Mob. Comput. 7(2), 214–230 (2008)CrossRefGoogle Scholar
  5. 5.
    Mahajan, S., Dhiman, P.: Clustering in wireless sensor networks: a review. Int. J. Adv. Res. Comput. Sci. 7(3), 198–201 (2016)Google Scholar
  6. 6.
    Kabashkin, I.: Reliability of cluster-based nodes in wireless sensor networks of cyber physical systems. Procedia Comput. Sci. 151, 313–320 (2019). ElsevierCrossRefGoogle Scholar
  7. 7.
    Farahani, S.: Battery Life Analysis. In: ZigBee Wireless Networks and Transceivers, pp. 207–224 (2008)CrossRefGoogle Scholar
  8. 8.
    Mahmood, M., Seah, W., Welch, I.: Reliability in wireless sensor networks: a survey and challenges ahead. Comput. Netw. 79, 166–187 (2015)CrossRefGoogle Scholar
  9. 9.
    Song, Y., Chen, T., Juanli, M., Feng, Y., Zhang, X.: Design and analysis for reliability of wireless sensor network. J. Netw. 7(12), 2003–2012 (2012)Google Scholar
  10. 10.
    Kabashkin, I., Kundler, J.: Reliability of sensor nodes in wireless sensor networks of cyber physical systems. Procedia Comput. Sci. 104, 380–384 (2017)CrossRefGoogle Scholar
  11. 11.
    Slovick, M.: Buck-Boost Controller Answers Call for Redundant Battery Systems. Electronic Design, 03 October (2018). https://www.electronicdesign.com/automotive/buck-boost-controller-answers-call-redundant-battery-systems
  12. 12.
    Barlow, R., Heidtmann, K.: On the reliability computation of a k-out-of-n system. Microelectron. Reliab. 33(2), 267–269 (1993)CrossRefGoogle Scholar
  13. 13.
    Misra, K.: Handbook of Performability Engineering. Springer, London (2008)CrossRefGoogle Scholar
  14. 14.
    McGrady, P.: The availability of a k-out-of-n: G network. IEEE Trans. Reliab. R-34(5), 451–452 (1985)CrossRefGoogle Scholar
  15. 15.
    Rushdi, A.: A switching-algebraic analysis of consecutive-k-out-of-n: F systems. Microelectron. Reliab. 27(1), 171–174 (1987)MathSciNetCrossRefGoogle Scholar
  16. 16.
    Ayers, M.: Telecommunications System Reliability Engineering, Theory, and Practice. Wiley-IEEE Press, Piscataway (2012)CrossRefGoogle Scholar
  17. 17.
    Kozlov, B., Ushakov, I.: Reliability Handbook (International Series in Decision Processes). Holt Rinehart & Winston of Canada Ltd., New York (1970)Google Scholar
  18. 18.
    Kabashkin, I.: Dynamic redundancy in communication network of air traffic management system. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds.) Advances in Dependability Engineering of Complex Systems. DepCoS-RELCOMEX 2017. Advances in Intelligent Systems and Computing, vol. 582, pp. 178–185. Springer, Cham (2018)Google Scholar
  19. 19.
    Kabashkin, I.: Dependability of multichannel communication system with maintenance operations for air traffic management. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds.) Engineering in Dependability of Computer Systems and Networks. DepCoS-RELCOMEX 2019. Advances in Intelligent Systems and Computing, vol. 987, pp. 256–263. Springer, Cham (2020)Google Scholar
  20. 20.
    Rubino, G., Sericola, B.: Markov Chains and Dependability Theory. Cambridge University Press, Cambridge (2014)CrossRefGoogle Scholar
  21. 21.
    Park, C. Lahiri, K. Raghunathan, A.: Battery discharge characteristics of wireless sensor nodes: an experimental analysis. In: 2005 Second Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, pp. 430–440. IEEE SECON, Santa Clara (2005)Google Scholar
  22. 22.
    BU-808: How to Prolong Lithium-based Batteries. Battery University (2020). https://batteryuniversity.com/learn/article/how_to_prolong_lithium_based_batteries. Accessed 20 Jan 2020
  23. 23.
    Raikin, I.: Elements of Reliability Theory for Technical Systems. Sov. Radio Publisher, Moscow (1978). (in Russian)Google Scholar

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Transport and Telecommunication InstituteRigaLatvia

Personalised recommendations