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Mitigating congestion in wireless sensor networks through clustering and queue assistance: a survey

Author

Listed:
  • Saneh Lata Yadav

    (Guru Gobind Singh Indraprastha University, (USICT))

  • R. L. Ujjwal

    (Guru Gobind Singh Indraprastha University, (USICT))

Abstract

A network of randomly deployed sensor nodes which shares limited resources like bandwidth, buffer, queue, and battery powered nodes is known as wireless sensor network. Such network must have energy, to avoid the chances of congestion because congested network degrades the performance of network. Congestion may occur due to several reasons like data packet collision, transmission channel contention and buffer overflow. A congestion control protocol must acquire the functionalities that can increase the lifetime and efficiency of network which are major responsibilities of wireless sensor network. In this paper traffic oriented, resource oriented and a hybrid approach with some additional functionalities of controlling congestion are discussed in a wide manner. The hybrid approach is best as per this survey as it integrates various factors of wireless sensor networks to control and mitigate the situation. A comprehensive analysis is also done on these factors to justify the nature of different approaches.

Suggested Citation

  • Saneh Lata Yadav & R. L. Ujjwal, 2021. "Mitigating congestion in wireless sensor networks through clustering and queue assistance: a survey," Journal of Intelligent Manufacturing, Springer, vol. 32(8), pages 2083-2098, December.
    • Handle: RePEc:spr:joinma:v:32:y:2021:i:8:d:10.1007_s10845-020-01640-8
    DOI: 10.1007/s10845-020-01640-8
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    References listed on IDEAS

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    1. Amin Shahraki & Marjan Kuchaki Rafsanjani & Arsham Borumand Saeid, 2017. "Hierarchical distributed management clustering protocol for wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 65(1), pages 193-214, May.
    2. Cosmena Mahapatra & Ashish Payal & Meenu Chopra, 2020. "Swarm intelligence based centralized clustering: a novel solution," Journal of Intelligent Manufacturing, Springer, vol. 31(8), pages 1877-1888, December.
    3. Bérenger Ossété Gombé & Gwenhael Goavec Mérou & Karla Breschi & Hervé Guyennet & Jean-Michel Friedt & Violeta Felea & Kamal Medjaher, 2019. "A SAW wireless sensor network platform for industrial predictive maintenance," Journal of Intelligent Manufacturing, Springer, vol. 30(4), pages 1617-1628, April.
    4. Ghasem Kahe & Amir Hossein Jahangir, 2019. "A self-tuning controller for queuing delay regulation in TCP/AQM networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(2), pages 215-229, June.
    5. Gerardo Santillán Martínez & Ivan M. Delamer & José L. Martínez Lastra, 2017. "A packet scheduler for real-time 6LoWPAN wireless networks in manufacturing systems," Journal of Intelligent Manufacturing, Springer, vol. 28(2), pages 301-311, February.
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