IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v76y2021i1d10.1007_s11235-020-00698-2.html
   My bibliography  Save this article

A simulation model for area coverage and loss probability on mobile sensor networks

Author

Listed:
  • F. C. S. Eiras

    (University of São Paulo)

  • W. L. Zucchi

    (University of São Paulo)

Abstract

The importance and applications of sensor networks have grown significantly in recent years. These networks are implemented in an ad-hoc manner, where messages pass through multiple intermediate nodes until they reach a central node (sink node). Depending on the type of application, the message loss rate can compromise its performance and even make its use unfeasible. The objective of this work is to obtain the probability of loss in the transmission of a message in a network of multiple hops through a simulator developed in the scope of this work as a tool of low computational cost and easy access, considering connectivity and displacement at high speed of the nodes. For the validation of the simulator, simple cases were used where the probability of loss obtained was compared with mathematical results deduced here. The results presented allow dimensioning the characteristics of coverage and number of nodes in a sensor network.

Suggested Citation

  • F. C. S. Eiras & W. L. Zucchi, 2021. "A simulation model for area coverage and loss probability on mobile sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 76(1), pages 3-16, January.
    • Handle: RePEc:spr:telsys:v:76:y:2021:i:1:d:10.1007_s11235-020-00698-2
    DOI: 10.1007/s11235-020-00698-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-020-00698-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11235-020-00698-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chakraborty, Suparna & Goyal, N.K. & Mahapatra, S. & Soh, Sieteng, 2020. "A Monte-Carlo Markov chain approach for coverage-area reliability of mobile wireless sensor networks with multistate nodes," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    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. F. C. S. Eiras & W. L. Zucchi, 2022. "Measuring synchronization precision in mobile sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 81(2), pages 253-267, October.

    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. Boardman, Nicholas T. & Sullivan, Kelly M., 2024. "Approximate dynamic programming for condition-based node deployment in a wireless sensor network," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    2. Liang, Zhenglin & Li, Yan-Fu, 2023. "Holistic Resilience and Reliability Measures for Cellular Telecommunication Networks," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    3. Amir Masoud Rahmani & Saqib Ali & Mohammad Sadegh Yousefpoor & Efat Yousefpoor & Rizwan Ali Naqvi & Kamran Siddique & Mehdi Hosseinzadeh, 2021. "An Area Coverage Scheme Based on Fuzzy Logic and Shuffled Frog-Leaping Algorithm (SFLA) in Heterogeneous Wireless Sensor Networks," Mathematics, MDPI, vol. 9(18), pages 1-41, September.
    4. Wang, WuChang & Zhang, Yi & Li, YuXing & Hu, Qihui & Liu, Chengsong & Liu, Cuiwei, 2022. "Vulnerability analysis method based on risk assessment for gas transmission capabilities of natural gas pipeline networks," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    5. Xiang, Shihu & Yang, Jun, 2023. "A novel adaptive deployment method for the single-target tracking of mobile wireless sensor networks," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    6. F. C. S. Eiras & W. L. Zucchi, 2022. "Measuring synchronization precision in mobile sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 81(2), pages 253-267, October.
    7. Kashif Nasr & Noor Muhammad Khan, 2020. "Toward connectivity of a disconnected cluster in partitioned wireless sensor network for time-critical data collection," International Journal of Distributed Sensor Networks, , vol. 16(12), pages 15501477209, December.
    8. Fu, Xiuwen & Yang, Yongsheng, 2021. "Analysis on invulnerability of wireless sensor networks based on cellular automata," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    9. Zhang, Changzhen & Yang, Jun & Wang, Ning, 2023. "Timely reliability modeling and evaluation of wireless sensor networks with adaptive N-policy sleep scheduling," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    10. Yeh, Wei-Chang & Hao, Zhifeng & Forghani-elahabad, Majid & Wang, Gai-Ge & Lin, Yih-Lon, 2021. "Novel Binary-Addition Tree Algorithm for Reliability Evaluation of Acyclic Multistate Information Networks," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    11. Wang, Ning & Xiao, Yiyong & Tian, Tianzi & Yang, Jun, 2023. "The optimal 5G base station location of the wireless sensor network considering timely reliability," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    12. Fu, Xiuwen & Yang, Yongsheng, 2020. "Modeling and analysis of cascading node-link failures in multi-sink wireless sensor networks," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    13. Cui, Hongjun & Wang, Fei & Ma, Xinwei & Zhu, Minqing, 2022. "A novel fixed-node unconnected subgraph method for calculating the reliability of binary-state networks," Reliability Engineering and System Safety, Elsevier, vol. 226(C).

    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:spr:telsys:v:76:y:2021:i:1:d:10.1007_s11235-020-00698-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.