IoT 18(11): e2

Research Article

State-of-the-Art Congestion Control Protocols in WSN: A Survey

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  • @ARTICLE{10.4108/eai.26-3-2018.154379,
        author={Mian  Ahmad Jan and Syed  Roohullah Jan and Muhammad Usman and Muhammad  Alam},
        title={State-of-the-Art Congestion Control Protocols in WSN: A Survey},
        journal={EAI Endorsed Transactions on Internet of Things},
        volume={3},
        number={11},
        publisher={EAI},
        journal_a={IOT},
        year={2018},
        month={3},
        keywords={Wireless Sensor Networks, Congestion Control Protocols, Resource-based Congestion Control, Traffic-based Congestion Control, Link-level Contention},
        doi={10.4108/eai.26-3-2018.154379}
    }
    
  • Mian Ahmad Jan
    Syed Roohullah Jan
    Muhammad Usman
    Muhammad Alam
    Year: 2018
    State-of-the-Art Congestion Control Protocols in WSN: A Survey
    IOT
    EAI
    DOI: 10.4108/eai.26-3-2018.154379
Mian Ahmad Jan1,*, Syed Roohullah Jan1, Muhammad Usman2, Muhammad Alam3
  • 1: Department of Computer Science, Abdul Wali Khan University Mardan, KPK, Pakistan
  • 2: School of Computing and Communications, University of Technology Sydney, Australia
  • 3: Instituto de Telecomunicações, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
*Contact email: mianjan@awkum.edu.pk

Abstract

Wireless Sensor Networks (WSNs) inherently are resource-constrained in terms of available energy, bandwidth, processing power and memory space. In these networks, congestion occurs when the incoming traffic load surpasses the available capacity of the network. There are various factors that lead to congestion in WSNs such as buffer overflow, varying rates of transmission, a many-to-one communication paradigm, channel contention and interference. Congestion leads to depletion of the nodes energy, deterioration of network performance and an increase in network latency and packet loss. As a result, energy-efficient and reliable state-of-the art congestion control protocols need to be designed to detect, notify and control congestion effectively. In this paper, we present a review of the latest state-of-the-art congestion control protocols. We analyze these protocols from various perspectives such as, their deployed environments, internal operational mechanisms, their advantages and disadvantages. Depending on their inherent nature of control mechanisms, these protocols are classified either as traffic-based congestion control or resource-based congestion control. Based on our analysis, we further subdivided these protocols based on their hop-by-hop and end-to-end delivery modes.