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Congestion Control Algorithms for Traffic and Resource Control in Wireless Sensor Networks

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Advances in Decision Sciences, Image Processing, Security and Computer Vision (ICETE 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 3))

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Abstract

Applications in the wireless sensor network (WSNs) associated with increased traffic, demand performance assurance as a vital issue considering parameters like power, reliability, and delay. When the occurrence of an event takes place in the network, high traffic is determined specifically at this instance congestion appears in the network. In such WSN congestion is controlled by minimizing the load or by maximizing the resource. In WSNs when convergence hotspot traffic control is applied and at hotspot resource control. In this paper, several algorithms for controlling congestion in WSN are studied based on their key ideas, benefits, and drawbacks to increasing the capacity of network lifetime.

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Authors and Affiliations

  1. Department of Information and Science Engineering, Poojya Dodappa Appa College of Engineering, Kalaburagi, India

    S. Suma & Bharati Harsoor

Authors
  1. S. Suma
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  2. Bharati Harsoor
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Corresponding author

Correspondence to S. Suma .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of CSE, CMR Technical Campus, Hyderabad, Telangana, India

    K. Srujan Raju

  3. Department of CSE, University College of Engineering, Osmania University, Hyderabad, Telangana, India

    K. Shyamala

  4. Department of ECE, University College of Engineering, Osmania University, Hyderabad, Telangana, India

    D. Rama Krishna

  5. Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

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Suma, S., Harsoor, B. (2020). Congestion Control Algorithms for Traffic and Resource Control in Wireless Sensor Networks. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-24322-7_88

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