Wireless Sensor Network
S. Shams Shamsabad Farahani
Abstract
Background and Objectives: Reliable data transmission and congestion control are considered as the transport layer primary functions in Wireless Sensor Networks (WSNs). WSNs are a specific category of wireless ad-hoc networks where their performance is highly affected by their characteristics and limitations. ...
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Background and Objectives: Reliable data transmission and congestion control are considered as the transport layer primary functions in Wireless Sensor Networks (WSNs). WSNs are a specific category of wireless ad-hoc networks where their performance is highly affected by their characteristics and limitations. These limitations necessitate an effective data transport control in WSNs which considers quality of service (QoS), energy efficiency, and congestion control.Methods: Congestion affects normal data transmission and ends in packet loss. Furthermore, wireless channels introduce packet loss because of high bit-error rate which wastes energy and affects reliability. The major problems regarding transport protocols in WSNs are congestion and reliability where the latter is classified and reviewed in the current paper.Results: In this paper, reliable data transport protocols are classified as the traffic direction, the parameter the reliability focuses on, and loss detection, notification, and recovery. Traffic direction-based reliable data transport protocols can be upstream, downstream or bidirectional, however, the parameter-based ones can be packet-based, event-based or destination-based, the loss detection and notification-based ones can be ACK-based, NACK-based, ACK and NACK-based or SACK-based, and the loss recovery-based reliable data transport protocols can be E-2-E or H-by-H. Thereafter, a comprehensive review of different reliable data transport protocols in wireless sensor networks is presented. Also, different performance metrics are used to compare these schemes.Conclusion: In this paper, reliable data transport protocols in WSNs are classified, reviewed and compared using different performance metrics. Finally, the current work attempts to provide specific directives to design and develop novel reliable data transport protocols in wireless sensor networks.
Control
S. Shams Shamsabad Farahani
Abstract
Background and Objectives: Wireless Sensor Networks (WSNs) are a specific category of wireless ad-hoc networks where their performance is highly affected by application, life time, storage capacity, processing power, topology changes, and the communication medium and bandwidth. These limitations necessitate ...
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Background and Objectives: Wireless Sensor Networks (WSNs) are a specific category of wireless ad-hoc networks where their performance is highly affected by application, life time, storage capacity, processing power, topology changes, and the communication medium and bandwidth. These limitations necessitate an effective data transport control in WSNs considering quality of service, energy efficiency, and congestion control. Methods: Congestion is an important issue in wireless networks. Congestion in WSNs badly effects loss rate, channel quality, link utilization, the number of retransmissions, traffic flow, network life time, delay, and energy as well as throughput. Due to the dominant role of WSNs, more efficient congestion control algorithms are needed. Results: In this paper, a comprehensive review of different congestion control schemes in WSNs is provided. In particular, different congestion control techniques are classified according to the way congestion is detected, notified and mitigated. Furthermore, congestion mitigation algorithms are classified and different performance metrics are used to compare congestion control algorithms.Conclusion: In this paper, congestion mitigation algorithms are classified in different groups. Finally, the current work attempts to provide specific directives to design and develop novel congestion control schemes.======================================================================================================Copyrights©2018 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers.======================================================================================================
