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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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)
Ayadi, A.: Energy-efficient and reliable transport protocols for wireless sensor networks: state-of-art. Wireless Sens. Netw. 3(3), 106–113 (2011)
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)
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)
Mahajan, S., Dhiman, P.: Clustering in wireless sensor networks: a review. Int. J. Adv. Res. Comput. Sci. 7(3), 198–201 (2016)
Kabashkin, I.: Reliability of cluster-based nodes in wireless sensor networks of cyber physical systems. Procedia Comput. Sci. 151, 313–320 (2019). Elsevier
Farahani, S.: Battery Life Analysis. In: ZigBee Wireless Networks and Transceivers, pp. 207–224 (2008)
Mahmood, M., Seah, W., Welch, I.: Reliability in wireless sensor networks: a survey and challenges ahead. Comput. Netw. 79, 166–187 (2015)
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)
Kabashkin, I., Kundler, J.: Reliability of sensor nodes in wireless sensor networks of cyber physical systems. Procedia Comput. Sci. 104, 380–384 (2017)
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
Barlow, R., Heidtmann, K.: On the reliability computation of a k-out-of-n system. Microelectron. Reliab. 33(2), 267–269 (1993)
Misra, K.: Handbook of Performability Engineering. Springer, London (2008)
McGrady, P.: The availability of a k-out-of-n: G network. IEEE Trans. Reliab. R-34(5), 451–452 (1985)
Rushdi, A.: A switching-algebraic analysis of consecutive-k-out-of-n: F systems. Microelectron. Reliab. 27(1), 171–174 (1987)
Ayers, M.: Telecommunications System Reliability Engineering, Theory, and Practice. Wiley-IEEE Press, Piscataway (2012)
Kozlov, B., Ushakov, I.: Reliability Handbook (International Series in Decision Processes). Holt Rinehart & Winston of Canada Ltd., New York (1970)
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)
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)
Rubino, G., Sericola, B.: Markov Chains and Dependability Theory. Cambridge University Press, Cambridge (2014)
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)
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
Raikin, I.: Elements of Reliability Theory for Technical Systems. Sov. Radio Publisher, Moscow (1978). (in Russian)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Kabashkin, I. (2020). Redundancy Management in Homogeneous Architecture of Power Supply Units in Wireless Sensor Networks. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Theory and Applications of Dependable Computer Systems. DepCoS-RELCOMEX 2020. Advances in Intelligent Systems and Computing, vol 1173. Springer, Cham. https://doi.org/10.1007/978-3-030-48256-5_30
Download citation
DOI: https://doi.org/10.1007/978-3-030-48256-5_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-48255-8
Online ISBN: 978-3-030-48256-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)