Congestion Control Techniques in Wireless Sensor Networks to Achieve QoS Parameters: a survey

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Priti W. Pawade; Dr.Rahul Kumar Budania; Dr.Dattatray Waghole

Congestion Control Techniques in Wireless Sensor Networks to Achieve QoS Parameters: a survey

Authors: Priti W. Pawade, Dr.Rahul Kumar Budania, Dr.Dattatray Waghole

Unique Paper ID: 183387
Volume: 12
Issue: 3
PageNo: 1119-1123

Keywords: Wireless Sensor Networks Congestion Control Quality of Service Network Performance Resource Constraints Hybrid Approaches Energy Efficiency Adaptive Mechanisms.

Abstract:
Wireless Sensor Networks (WSNs) play a crucial role in various applications, but their performance is often hindered by congestion, which adversely affects Quality of Service (QoS) parameters. This paper presents a comprehensive review and analysis of congestion control techniques in WSNs aimed at achieving optimal QoS. We examine various approaches, including rate-based, buffer-based, priority-based, cluster-based, and cross-layer techniques, as well as emerging methods utilizing machine learning, fuzzy logic, and bio-inspired algorithms. The study evaluates these techniques based on their ability to address key challenges in WSNs, such as resource constraints, network dynamics, and scalability issues. A comparative analysis is conducted using simulation scenarios to assess the performance of different congestion control methods across various metrics, including throughput, packet delivery ratio, end-to-end delay, and energy efficiency. The results demonstrate that hybrid approaches combining multiple techniques often yield superior performance in maintaining QoS under diverse network conditions. Furthermore, the paper identifies research gaps and proposes future directions for developing more efficient and adaptive congestion control mechanisms in WSNs, emphasizing the need for energy-aware and QoS-driven solutions.

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Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 3
PageNo: 1119-1123

Congestion Control Techniques in Wireless Sensor Networks to Achieve QoS Parameters: a survey

Available:https://ijirt.org/article?manuscript=183387

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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