IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i24p8264-d697731.html
   My bibliography  Save this article

Modeling and Fault Tolerance Analysis of ZigBee Protocol in IoT Networks

Author

Listed:
  • Paweł Dymora

    (Faculty of Electrical and Computer Engineering, Rzeszów University of Technology, al. Powstańców Warszawy 12, 35-959 Rzeszów, Poland)

  • Mirosław Mazurek

    (Faculty of Electrical and Computer Engineering, Rzeszów University of Technology, al. Powstańców Warszawy 12, 35-959 Rzeszów, Poland)

  • Krzysztof Smalara

    (Faculty of Electrical and Computer Engineering, Rzeszów University of Technology, al. Powstańców Warszawy 12, 35-959 Rzeszów, Poland)

Abstract

This paper presents the essence of IoT (Internet of Things) works and design challenges, discusses its principles of operation, and presents IoT development concepts. WSN (Wireless Sensor Network) was characterized in detail as an essential component of IoT infrastructure. The various faults that can occur at all levels of the IoT architecture, such as sensor nodes, actuators, network links, as well as processing and storage components clearly demonstrate that fault-tolerance (FT) has become a key issue for IoT systems. A properly applied routing algorithm has a direct impact on the power consumption of sensors, which in extreme cases is the reason why nodes shut down due to battery degradation. To study the fault tolerance of IoT infrastructure, a ZigBee network topology was created, and various node failure scenarios were simulated. Furthermore, the results presented showed the impact and importance of choosing the right routing scheme, based on the correlation of throughput to the number of rejected packets, as well as the proportionality of the value of management traffic to the other including the ratio of rejected packets.

Suggested Citation

  • Paweł Dymora & Mirosław Mazurek & Krzysztof Smalara, 2021. "Modeling and Fault Tolerance Analysis of ZigBee Protocol in IoT Networks," Energies, MDPI, vol. 14(24), pages 1-21, December.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8264-:d:697731
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/24/8264/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/24/8264/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Carolina Del-Valle-Soto & Carlos Mex-Perera & Juan Arturo Nolazco-Flores & Ramiro Velázquez & Alberto Rossa-Sierra, 2020. "Wireless Sensor Network Energy Model and Its Use in the Optimization of Routing Protocols," Energies, MDPI, vol. 13(3), pages 1-33, February.
    2. Mohammad Tala’t & Chih-Min Yu & Meng-Lin Ku & Kai-Ten Feng, 2017. "On Hybrid Energy Utilization in Wireless Sensor Networks," Energies, MDPI, vol. 10(12), pages 1-11, November.
    3. Dinh Loc Mai & Myung Kyun Kim, 2020. "A Scheduling Method Based on Packet Combination to Improve End-to-End Delay in TSCH Networks with Constrained Latency," Energies, MDPI, vol. 13(12), pages 1-13, June.
    4. Shancang Li & Li Da Xu & Shanshan Zhao, 2015. "The internet of things: a survey," Information Systems Frontiers, Springer, vol. 17(2), pages 243-259, April.
    5. Khalid Haseeb & Naveed Islam & Yasir Javed & Usman Tariq, 2020. "A Lightweight Secure and Energy-Efficient Fog-Based Routing Protocol for Constraint Sensors Network," Energies, MDPI, vol. 14(1), pages 1-14, December.
    6. Gustavo A. Nunez Segura & Cintia Borges Margi, 2021. "Centralized Energy Prediction in Wireless Sensor Networks Leveraged by Software-Defined Networking," Energies, MDPI, vol. 14(17), pages 1-18, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Eneko Artetxe & Oscar Barambones & Isidro Calvo & Pablo Fernández-Bustamante & Imanol Martin & Jokin Uralde, 2023. "Wireless Technologies for Industry 4.0 Applications," Energies, MDPI, vol. 16(3), pages 1-13, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arfi, Wissal Ben & Nasr, Imed Ben & Kondrateva, Galina & Hikkerova, Lubica, 2021. "The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    2. Hong Jiang & Shuyu Sun & Hongtao Xu & Shukuan Zhao & Yong Chen, 2020. "Enterprises' network structure and their technology standardization capability in Industry 4.0," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 749-765, July.
    3. Waleed Al-Zaidi & Farsat Shaban & Dilgash Qadir M., 2022. "Internet of Things in Enhancing Competitive Capabilities: An Exploratory Study," International Journal of Management Science and Business Administration, Inovatus Services Ltd., vol. 8(2), pages 25-32, January.
    4. Chae, Bongsug (Kevin), 2018. "The Internet of Things (IoT): A Survey of Topics and Trends using Twitter Data and Topic Modeling," 22nd ITS Biennial Conference, Seoul 2018. Beyond the boundaries: Challenges for business, policy and society 190376, International Telecommunications Society (ITS).
    5. Qinghua Zheng & Chutong Yang & Haijun Yang & Jianhe Zhou, 2020. "A Fast Exact Algorithm for Deployment of Sensor Nodes for Internet of Things," Information Systems Frontiers, Springer, vol. 22(4), pages 829-842, August.
    6. Joseph Chambers & James Evans, 2020. "Informal urbanism and the Internet of Things: Reliability, trust and the reconfiguration of infrastructure," Urban Studies, Urban Studies Journal Limited, vol. 57(14), pages 2918-2935, November.
    7. Damminda Alahakoon & Rashmika Nawaratne & Yan Xu & Daswin Silva & Uthayasankar Sivarajah & Bhumika Gupta, 2023. "Self-Building Artificial Intelligence and Machine Learning to Empower Big Data Analytics in Smart Cities," Information Systems Frontiers, Springer, vol. 25(1), pages 221-240, February.
    8. Peter M. Bednar & Christine Welch, 0. "Socio-Technical Perspectives on Smart Working: Creating Meaningful and Sustainable Systems," Information Systems Frontiers, Springer, vol. 0, pages 1-18.
    9. Ardito, Lorenzo & D'Adda, Diego & Messeni Petruzzelli, Antonio, 2018. "Mapping innovation dynamics in the Internet of Things domain: Evidence from patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 317-330.
    10. Michaela Sprenger & Tobias Mettler & Robert Winter, 0. "A viability theory for digital businesses: Exploring the evolutionary changes of revenue mechanisms to support managerial decisions," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    11. Masoud Zafarzadeh & Magnus Wiktorsson & Jannicke Baalsrud Hauge, 2021. "A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective," Logistics, MDPI, vol. 5(2), pages 1-32, April.
    12. Douglas de Farias Medeiros & Cleonilson Protasio de Souza & Fabricio Braga Soares de Carvalho & Waslon Terllizzie Araújo Lopes, 2022. "Energy-Saving Routing Protocols for Smart Cities," Energies, MDPI, vol. 15(19), pages 1-19, October.
    13. Gergely Marcell Honti & Janos Abonyi, 2019. "A Review of Semantic Sensor Technologies in Internet of Things Architectures," Complexity, Hindawi, vol. 2019, pages 1-21, June.
    14. Payam Hanafizadeh & Parastou Hatami & Morteza Analoui & Amir Albadvi, 2021. "Business model innovation driven by the internet of things technology, in internet service providers’ business context," Information Systems and e-Business Management, Springer, vol. 19(4), pages 1175-1243, December.
    15. Humphrey M. Sabi & Faith-Michael E. Uzoka & Kehbuma Langmia & Felix N. Njeh & Clive K. Tsuma, 0. "A cross-country model of contextual factors impacting cloud computing adoption at universities in sub-Saharan Africa," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    16. Federica Cena & Luca Console & Assunta Matassa & Ilaria Torre, 2019. "Multi-dimensional intelligence in smart physical objects," Information Systems Frontiers, Springer, vol. 21(2), pages 383-404, April.
    17. Meihua Wang & Wei-Chang Yeh & Ta-Chung Chu & Xianyong Zhang & Chia-Ling Huang & Jun Yang, 2018. "Solving Multi-Objective Fuzzy Optimization in Wireless Smart Sensor Networks under Uncertainty Using a Hybrid of IFR and SSO Algorithm," Energies, MDPI, vol. 11(9), pages 1-23, September.
    18. Muhammad Ilyas & Zahid Ullah & Fakhri Alam Khan & Muhammad Hasanain Chaudary & Muhammad Sheraz Arshed Malik & Zafar Zaheer & Hamood Ur Rehman Durrani, 2020. "Trust-based energy-efficient routing protocol for Internet of things–based sensor networks," International Journal of Distributed Sensor Networks, , vol. 16(10), pages 15501477209, October.
    19. Oscar Brousse & Charles H. Simpson & Ate Poorthuis & Clare Heaviside, 2024. "Unequal distributions of crowdsourced weather data in England and Wales," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    20. Pan Wang & Ricardo Valerdi & Shangming Zhou & Ling Li, 2015. "Introduction: Advances in IoT research and applications," Information Systems Frontiers, Springer, vol. 17(2), pages 239-241, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8264-:d:697731. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.