Research Article
State-of-the-Art Congestion Control Protocols in WSN: A Survey
@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={2017}, month={7}, 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: 2017
State-of-the-Art Congestion Control Protocols in WSN: A Survey
IOT
EAI
DOI: 10.4108/eai.26-3-2018.154379
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.
Copyright © 2017 Syed Roohullah Jan et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.